Statistics Jobs

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I'm looking for an expert in SPSS to perform descriptive statistics on a mixed dataset (both categorical and numerical). The data is sourced from existing secondary datasets. Ideal Skills and Experience: - Proficiency in SPSS - Strong background in statistics, particularly descriptive statistics - Experience working with both categorical and numerical data - Familiarity with handling and analyzing secondary data If you have a keen eye for detail and can deliver accurate and insightful statistical summaries, I'd love to hear from you. Please provide examples of similar work done in your bids.

I have a dataset containing demographic details, job performance records and results from employee-engagement surveys. Your task is to turn this raw information into a reliable attrition-prediction pipeline. Work starts with careful cleaning and preprocessing: handle missing values, encode categorical variables, standardise or normalise where needed and document every step so the workflow is fully reproducible. A brief exploratory analysis should follow to highlight key attrition drivers and verify data quality before modelling. For the classifier, I’d like you to focus on K-Nearest Neighbours. If you find that another algorithm beats KNN convincingly, feel free to present the comparison—but please include KNN in the final report. Train, tune and validate the model, then eval...

I’m expanding the Centre for Eastern Studies’ coverage of South Asia and need a part-time, remote researcher who can dig deep into the economic trends that define the region’s external relations. Your main mission is to transform raw numbers into clear, policy-relevant insight that will feed our reports and public commentary. What the work looks like You will track macro indicators, FDI flows, trade pacts and sector-specific data across India, Pakistan, Bangladesh, Sri Lanka, Nepal and beyond. Using tools such as Python, R, Stata or advanced Excel, you’ll clean and analyse datasets, visualise results, and distil the story behind the figures. I’ll involve you in joint data analysis projects with senior analysts, invite you to our online seminars, and ask you...

I’m expanding the Centre for Eastern Studies’ coverage of South Asia and need a part-time, remote researcher who can dig deep into the economic trends that define the region’s external relations. Your main mission is to transform raw numbers into clear, policy-relevant insight that will feed our reports and public commentary. What the work looks like You will track macro indicators, FDI flows, trade pacts and sector-specific data across India, Pakistan, Bangladesh, Sri Lanka, Nepal and beyond. Using tools such as Python, R, Stata or advanced Excel, you’ll clean and analyse datasets, visualise results, and distil the story behind the figures. I’ll involve you in joint data analysis projects with senior analysts, invite you to our online seminars, and ask you...

I’m expanding the Centre for Eastern Studies’ coverage of South Asia and need a part-time, remote researcher who can dig deep into the economic trends that define the region’s external relations. Your main mission is to transform raw numbers into clear, policy-relevant insight that will feed our reports and public commentary. What the work looks like You will track macro indicators, FDI flows, trade pacts and sector-specific data across India, Pakistan, Bangladesh, Sri Lanka, Nepal and beyond. Using tools such as Python, R, Stata or advanced Excel, you’ll clean and analyse datasets, visualise results, and distil the story behind the figures. I’ll involve you in joint data analysis projects with senior analysts, invite you to our online seminars, and ask you...

I need assistance with multiple regression analysis using JASP. The data is from a survey and involves an ordinal dependent variable with 3-5 independent variables. Requirements: - Proficiency in JASP - Experience with multiple regression analysis - Ability to interpret and present results clearly Ideal Skills: - Statistical analysis expertise - Familiarity with survey data - Strong analytical skills Please provide a sample of similar work done.

I’m looking for an experienced Power BI developer to build a financial dashboard that provides clear visibility into performance, with a strong focus on budget vs actual analysis and KPI tracking. All underlying data will be provided in Excel format. The goal is to transform this data into a clean, interactive, and management-ready dashboard that supports decision-making. Scope of Work • Review and structure the provided Excel data • Build a robust data model within Power BI • Create DAX measures for key financial metrics • Develop an interactive dashboard with filters and drill-down capability Key Metrics to Include • Revenue, Costs, and Net Profit • Budget vs Actual (with variance analysis) • Monthly and Year-to-Date (MTD/YTD) performa...

I have a set of raw transactional records sitting in several CSV files. I need them imported into Power BI, cleaned, and reshaped into a star-style model. The core relationships I must see are Customer → Orders and Region → Revenue; anything else you add for best practice is welcome provided it remains documented. Once the model is in place, create DAX measures for: • Total revenue • Number of orders • Distinct customers • Return rate With those measures, build visuals that show: • Revenue distribution by region • Seasonal revenue patterns (month and quarter) • Any revenue-concentration risk—e.g., regions or customers that contribute a disproportionate share • Key performance trends over time I will consider the job c...

I’m looking for an experienced math tutor who can coach my 2nd grader for upcoming Olympiad-style contests. Arithmetic is the main area we need to strengthen, but every session should still keep the broader spirit of problem-solving alive so my child feels prepared for the variety of questions that appear in these competitions. My daughter is already working at an intermediate level for his age, so lessons shouldn’t start with the absolute basics; instead, I’d like you to stretch him with multi-step word problems, mental-math shortcuts, and timed drills that mirror Olympiad formats. He learns best through verbal explanations and open discussion—walking through the logic aloud, asking “why,” and hearing real-time feedback—so please be comfortable e...

I have a complete survey dataset and I need an experienced structural equation-modelling specialist to uncover and clearly explain the relationships that exist among its variables. I will give the conceptual model to test... I need factor loadings, the path diagram and all the tables and figures usually a SEM model should have, I have the dataset with me, if the results are not as expected, you may need to adjust the data a little bit. Please note that you may have to analyse multiple times to get the desired results. So please don't expect me to pay you in the first run. I need it immediately,, i don't prefer who can do it in a week,, for me always the lowest quote wins the deal.. You may use AMOS or SmartPLS or Jamovi for this task.

I have an urgent assessment to finish and need a specialist who truly understands Workforce Management logic inside Excel. You will receive one raw workbook that already holds the time-stamped data and all supporting assessment figures. Your main job is to turn that sheet into a clear-cut capacity-planning model, then walk me through the reasoning so I can present it with confidence. Here is what I am looking for: the model must calculate staffing requirements, shrinkage, occupancy, service-level projections and any other standard metrics you normally include for solid capacity planning. Forecasting and scheduling elements sit right behind this priority, so design the file in a way that lets me easily extend it to those areas. Accuracy is essential, but speed matters even more; I need fir...

I have several months of raw sales data that I need turned into clear, actionable insight. The sole focus is to identify meaningful trends—seasonality, product-line performance, regional differences, and any other patterns that stand out—so I can make smarter business decisions. Here is what I will hand over: the complete sales dataset exactly as it sits today. If you are comfortable working in Excel/CSV, databases, or cloud-based tables, great—I can supply the files in whichever of those formats you prefer. Here is what I expect back: • A concise analytical report (PDF or slide deck) highlighting the key trends you discover, complete with charts or visualisations. • A clean, well-commented workbook or script so I can replicate or extend the analysis later...

I need to compile a clear, reliable picture of how female freelancers are distributed, what skills they market, typical earnings ranges, and any notable growth patterns across major regions. The job starts with data extraction: pull publicly available information from leading freelancer platforms, professional networking sites, and other open repositories. After cleaning and de-duplicating the records, the next step is to analyse the dataset—producing descriptive statistics, trend plots, and concise written commentary that highlights regional hot-spots, in-demand skill sets, and any gaps or opportunity areas. Please deliver: • A CSV or Excel file containing the raw and cleaned datasets, accompanied by a short data-dictionary. • An analytic report (PDF or slide deck) that...

I'm looking for a skilled business analyst to help set prices for my towing service using a cost-plus pricing strategy. The ideal candidate should have experience in the service industry and a strong understanding of pricing strategies. Key tasks include: - Analyzing labor, equipment, and fuel costs - Developing a comprehensive pricing model Ideal Skills & Experience: - Experience as a business analyst - Strong analytical skills - Background in cost-plus pricing - Knowledge of the towing or service industry

I have a clean, well-structured dataset that needs a deeper look. Your task is to explore the data end-to-end, uncover meaningful patterns, and turn those findings into a concise, business-ready story I can share with stakeholders. What I expect you to handle: data cleaning, exploratory analysis, the right statistical tests where necessary, and clear visualisations that highlight the key relationships you discover. Python with pandas, NumPy, matplotlib or seaborn is ideal, though I am open to R or another mainstream stack if you already have a streamlined workflow. If interactive dashboards (Tableau, Power BI, or similar) would add clarity, feel free to propose them. When the work is complete, I would like: • A reproducible notebook or script with clear comments • A brief re...

Dear Freelancer, I have developed a trading strategy and I'm now looking for a freelancer with financial knowledge who can execute trades in index CFD contracts regularly on our corporate trading account. Signals and trade proposals will be sent to your company email and you will then execute the trades accordingly. You can expect 2-3 trades per day on average. Some days it may be up to 7 trades but that is not common. Some days there will be no trades. Trade proposals will be provided daily at around 8am and 2-2.30pm Stockholm time. It's important that you are available at this time to execute the trades. The case is very time sensitive so no delays in execution is allowed. I can pay $50 per month. To confirm that you have read this job post carefully please start your propo...

I’m racing against a submission deadline and need a skilled academic writer to guide me through the entire process of my master’s thesis in Business and Economics. This is a personal academic project, so every page must be original, well-researched, and formatted to university standards. Here’s what I’m aiming for: • Plagiarism-free with proper citation and references (APA 6th edition) Timeline is tight, so I’ll expect an outline within days, steady chapter deliveries on agreed milestones, and responsive revisions until the final manuscript is ready for submission. If you have proven experience with Business and Economics theses, statistical tools like SPSS/Stata/R, and can keep calm under pressure, I’d love to work with you.

I am preparing a quantitative study on “Inequality in participation versus visibility in online communities” . The raw material will come from one or more publicly-available Kaggle datasets; the challenge is to turn those data into a coherent, publication-level research project. Here is what I need from you: • Help me locate or combine the right Kaggle datasets, then document the download and preprocessing steps (Kaggle API, Python pandas, or R tidyverse are fine). • Define robust operational metrics for participation (e.g., post frequency, comment depth) and visibility (e.g., up-votes, follower counts, ranking on leaderboards). • Build the analysis pipeline—cleaning scripts, exploratory statistics, and the main inferential models (regression, GEE, or...

I am getting ready to draft a quantitative paper for a Scopus-indexed journal and need one-on-one coaching in SPSS. I am a complete beginner, so please assume no prior syntax knowledge. The first milestone must center on Exploratory Factor Analysis (EFA): importing data, screening it, choosing extraction and rotation methods, interpreting the output, and writing the results section in publication style. Once EFA is clear, we will move on to Confirmatory Factor Analysis (ideally through SPSS AMOS or an equivalent plug-in) and finally to full Structural Equation Modeling. I learn best through live screen-sharing sessions backed by annotated SPSS syntax and concise, step-by-step notes that I can reuse when writing the methods and results sections. By the end of our work I should be able to...

I will supply a complete survey dataset and need it transformed into a publish-ready scientific paper. Your task starts with cleaning and screening the data in SPSS, then running the analyses that best reveal overall trends and patterns. Descriptive statistics, reliability checks, charts, and any other exploratory procedures you judge valuable should all feed into a clear narrative of the findings. Interpret the results in straightforward language, link them back to the study purpose, and craft the full manuscript sections—Abstract, Introduction, Method, Results, Discussion, and References—formatted to the standards of a peer-reviewed journal in my field. Throughout the job, please keep every SPSS step reproducible by sharing the .sav file, syntax file, and output viewer fil...

I need a Python script to analyze tachograph data stored in a database. The focus is on rest period analysis using standard regulations. Key requirements: - Analyze rest periods/shifts based on standard regulations - Output results in a readable format - Create infrigments Ideal skills: - Proficiency in Python - Experience with database handling (SQL) - Knowledge of tachograph regulations and analysis Please share relevant experience and approach.

Financial Analytics Dashboard Power BI Business Insights and KPI Tracking I developed a Financial Analytics Dashboard to help businesses track performance, monitor KPIs, and make data-driven decisions. Key Features: Profit and Loss Analysis (Revenue, Cost, Net Profit) Budget vs Actual comparison Monthly and Year-to-Date (MTD/YTD) insights Job analysis (Active, Closed, Aging) Receivables and Payables tracking Interactive filters (Region, Country, Department, Currency, Year) Dashboard Insights: Operating Income and Net Profit After Tax Revenue vs Budget comparison Cost analysis with variance tracking Job performance and aging insights Financial health indicators (Receivables and Payables) Tools Used: Power BI, Excel, Data Modeling, DAX Outcome: Identify financial trends Track perform...

**Project Brief: Survey Data Analysis Using MAXQDA** I am looking for an experienced researcher/data analyst to support a large-scale survey analysis project. **Scope of Work:** * Total of **50 survey datasets** * Each dataset contains responses from **100 participants** * Analysis must be conducted using **MAXQDA** * For each dataset, you will: * Perform qualitative/quantitative analysis * Identify key insights, themes, and patterns * Deliver a **3–4 page summary report** highlighting key findings **Deliverables per Dataset:** * MAXQDA project file (if applicable) * A structured **3–4 page report** including: * Key insights * Patterns/trends * Relevant interpretations **Compensation:** * **$250 per dataset analysis** * Payment will be structured into **2 m...

From Pakistan, Malaysia, India etc. New Junior Level Female python Tutor Needed from Pakistan, Bangladesh, Philpines or India. I’m looking for a patient, engaging female tutor who can guide a brand-new Python learner from the absolute basics to confident, independent coding. The student is starting at junior level, so the early sessions will focus on setting up a clean development environment (VS Code, Jupyter or any IDE you prefer), understanding core syntax, and writing small scripts that reinforce each concept we cover. From there, we’ll decide together whether to branch into data handling, simple web apps, or any other area that keeps motivation high; the exact path can stay flexible so the learning remains practical and fun. I value clear explanations, lots of hands-on...

Hi I will share the details with the shortlisted candidates. Thanks

I have several up-to-date Excel workbooks that hold our raw sales data, and I want them transformed into an interactive Power BI dashboard focused squarely on sales performance. The core metrics to surface are: • Total revenue • Sales growth over time • Top-selling products, with the ability to drill down by category or period Everything sits in Excel today, so the first step will be organising clean data connections and refresh schedules from those files into a single Power BI model. Once that model is solid, I need clear, visually engaging reports—think KPI cards, trend lines, and ranked product visuals—that make it easy for the team to spot patterns and act quickly. Deliverables • A fully functional .pbix file connected to my Excel sources &bul...

I will give you direct access to our secured Government health databases so you can extract the figures we monitor daily on infectious-disease cases, laboratory confirmations, and sentinel surveillance sites across Nepal. Your task is to turn this raw information into clear, evidence-based insights that guide our infectious-disease control policies. I need clean, reproducible code (Python, R or Stata are all acceptable), an annotated dataset ready for archiving, and a concise report that highlights trends, hotspots, and any statistically significant anomalies. Please visualise the main findings in intuitive charts or dashboards so they can be shared quickly with provincial teams and senior officials. Deliverables • A documented data-cleaning and analysis script • The pr...

I need a Python expert to take several CSV and Excel files and turn them into solid, statistically sound insights. The work is focused entirely on data analysis and processing—no web scraping or app development—so your time goes straight into cleaning the raw tables, exploring patterns, and building the statistical models that answer my business questions. You should feel at home with pandas for wrangling, NumPy and SciPy for numerical work, and a modeling library such as scikit-learn or statsmodels to run regressions, clustering, or any technique you recommend. If you prefer working in a Jupyter notebook, that’s perfect; a well-commented .py script is also fine. I’ll supply the data files and a brief outlining the hypotheses I want tested the moment we start. Del...

I’m looking for a seasoned academic writer to take my doctoral research from scattered notes and daStudents are to select one of the following areas in organization theory for their final paper. Theory Final Paper Should Depict the Following ideas/propositions discussed in the literature in the last ten years. evaluation of the: a) evidence (if any) offered to support them, b) adequacy and usefulness of the ideas/propositions. these ideas/propositions relate to other areas of organization theory. , outline, and annotated bibliography (minimum of 10 sources) due February 4, 2026. Final Paper Grading Criteria , content, adequacy of research, logical, grammatical clarity of exposition and form, appropriateness of abstracts to topic turned in with specification, quality of presenta...

research paper on economic diversification in the UAE, focusing on the role of non-oil sector growth in GDP performance (2000–2023). Key Requirements: • Clear introduction presenting the economic context and research question • Well-structured literature review relevant to economic diversification and growth • Identification of the research gap and positioning of the study • Development of clear and logical hypotheses • Presentation of an econometric model (e.g. GDP Growth = f(Non-oil GDP Growth, Oil Price, Investment)) • Clear definition and justification of all variables • Collection and presentation of data (2000–2023) • Descriptive data analysis (tables, statistics, graphs) • Regression analysis (OLS or appropriate meth...

I’m putting together a comprehensive backtest that focuses exclusively on stock market data from the NYSE and NASDAQ, spanning the last 10 years. To do this effectively I need a well-structured historical dataset that I can drop straight into my models without hours of manual cleanup. Here’s what I’m after: • Daily (or finer) OHLCV prices, fully adjusted for corporate actions, splits, and dividends. • Consistent symbol mapping so delistings, mergers, and ticker changes don’t break the series. • A single, tidy delivery format—CSV files are fine, but a lightweight SQL or Parquet database also works if you prefer. • A short README that explains field definitions, adjustment methodology, and any known data caveats. If you already have a...

I need a freelancer to perform statically analysis. For my DNP project outcomes, comparing pre and post implementation surveys. Requirements: - Expertise in predictive statistics - Proficiency with numerical data - Experience with regression analysis, time series analysis, or machine learning algorithms Ideal Skills and experience Working with DNP students Please provide examples of previous work and relevant qualifications.

I need a skilled data professional to turn my historical sales records into reliable projections for the months ahead. The raw files are already exported from our POS and e-commerce platforms; they cover daily transactions, product categories, promotions, and regional outlets. Your first task will be to explore and clean this sales data, handle any missing values or outliers, and engineer features that capture seasonality, campaigns, and other business drivers. My primary goal is an accurate sales forecast and projection roadmap. I am particularly interested in machine-learning approaches—think gradient-boosted trees, LSTM, Prophet, or any other model you feel best suits the data’s structure. Classical time-series or regression techniques are fine as benchmarks, but the core d...

I am working with a sizeable set of enterprise-level operational data and need a clear, defensible forecast of upcoming trends. Everything will be handled in Excel—no BI suites or code this time—so the entire workflow, from cleaning through modelling to final visualisation, must live inside a well-structured workbook. The primary scope centres on our operational metrics, yet the approach should remain flexible enough that I can later slot in sales or customer figures without re-engineering the model. Accuracy and transparency are critical: every assumption, formula, and transformation step must be traceable so managers can audit the logic. Key deliverables • A master Excel workbook containing raw data staging, cleaned tables, forecasting model, and dynamic charts &bu...

I’m seeking a patient tutor who can guide a secondary-school student through the algebra problems that come home each week. The learner is a motivated teenager but currently finds variables, equations and basic factorisation overwhelming. I’d like each session to focus on the exact homework set, breaking questions into clear, logical steps while explaining the underlying concepts so future tasks feel less intimidating. We’ll meet online; I’m comfortable with Zoom or any interactive whiteboard tool you prefer. Consistency matters, so a regular weekly slot—plus quick chat support for the odd tricky question between sessions—would be ideal. If you can supply brief recap notes or worked solutions after each lesson, even better. Please let me know your appr...

AI & MACHINE LEARNING TRAINING MANUAL DEVELOPMENT We are urgently seeking a highly qualified Expert Trainer to develop a comprehensive, hands-on Manual and deliver specialized training to Customs of an African country. This project aims to enable the beneficiary organization to autonomously design, optimize, and deploy AI/ML solutions for risk management and customs clearance efficiency. Scope of Work: Develop curriculum and content focusing on advanced technical modules, including: Data Science & Machine Learning: Deep Learning and Python Data Science foundations. Generative AI & LLMs: Advanced Prompt Engineering, Fine-tuning, NLP/Transformers, and API Deployment (LangChain). Methodology: Emphasize practical application, real-world customs use cases, and Capstone projects (...

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Job Title: Micro Task Specialist Overview Are you a detail-oriented individual with a knack for tackling micro tasks efficiently? We are seeking a skilled Micro Task Specialist to join our dynamic team. As a Micro Task Specialist, you will be at the forefront of optimizing processes, ensuring accuracy, and contributing to the seamless functioning of our diverse range of projects. Responsibilities: Micro Task Execution: Dive into a variety of micro tasks, from data entry to research, with precision and attention to detail. - Task Optimization: Identify opportunities to enhance task efficiency, suggesting improvements that contribute to overall productivity. -Multi-Company Collaboration: Work on tasks from 25 different companies, showcasing your adaptability and versatility in managi...

I need a skilled statistician to perform Bayesian analysis with meta-regressions on clinical trials data for a meta-analysis in the healthcare domain. The primary outcome of interest is side effects. Key requirements: - Expertise in Bayesian statistics - Experience with meta-analysis and meta-regression - Strong background in healthcare data, specifically clinical trials - Proficiency in statistical software (e.g., R, Python, STATA) Ideal candidates should provide: - Previous relevant work samples - Detailed methodology outline - Estimated timeline for completion

I will hand over an Excel worksheet containing our latest internal numbers, and I need you to turn it into a concise, executive-ready slide deck. The priority is to let the data speak, surfacing customer-centric insights and the broader trends that emerge. The flow I have in mind starts with a clear overview, moves into the trend narrative, and culminates in a full SWOT analysis. Every slide should be self-explanatory—my VP should grasp the story without additional commentary. Strong data visualization, crisp wording, and a logical thread from finding to implication are essential. PowerPoint is fine, but feel free to use Tableau, Power BI, or Python (pandas, matplotlib, seaborn) behind the scenes if they sharpen the story; just embed or export final visuals so they remain editable...

Job Title: Micro Task Specialist Overview Are you a detail-oriented individual with a knack for tackling micro tasks efficiently? We are seeking a skilled Micro Task Specialist to join our dynamic team. As a Micro Task Specialist, you will be at the forefront of optimizing processes, ensuring accuracy, and contributing to the seamless functioning of our diverse range of projects. Responsibilities: Micro Task Execution: Dive into a variety of micro tasks, from data entry to research, with precision and attention to detail. - Task Optimization: Identify opportunities to enhance task efficiency, suggesting improvements that contribute to overall productivity. -Multi-Company Collaboration: Work on tasks from 25 different companies, showcasing your adaptability and versatility in managi...

I’m looking for a finance-savvy analyst who can break down the cryptocurrency market and show me where the real “cuan” is hiding. This is an investment analysis project focused entirely on crypto, not stocks or real estate. What I need • A current-state snapshot of the overall market, highlighting dominant trends and potential catalysts. • Deep dives on a short list of coins/tokens we’ll agree on, including risk-return profiles, on-chain activity, and upcoming roadmap events. • Entry and exit price targets backed by technical indicators (TradingView, moving averages, RSI, MACD) and fundamental cues (tokenomics, developer activity, news flow). • A concise portfolio allocation suggestion tailored to different risk levels. • Clear, act...

I already work comfortably with candlestick patterns, support-resistance mapping and indicator overlays, yet I know there is still room to sharpen my edge. I want an experienced Forex technician who can take my existing skill set and push it into consistently professional territory. Here is what I have in mind: • A series of live, screen-shared sessions where you dissect my current charting process, then walk me through higher-probability techniques such as multi-time-frame confluence, liquidity sweep recognition, market structure shifts and volume-profile interpretation. • Practical homework: annotated charts or short video recaps I complete between calls so you can review my progress and correct any drift from the plan. • A clear, written playbook of the setups we re...

I am looking for an experienced data analyst / ServiceNow expert to help transform CMDB data into actionable insights and predictive analytics. The CMDB currently receives data from three sources: • Network devices • Software applications • Servers / hardware assets ⸻ Scope of Work: 1. Data Consolidation & Preparation • Review and consolidate CMDB data • Clean and standardise datasets for analysis • Ensure data is usable for reporting and modelling 2. Predictive Analysis • Build simple predictive models to identify early warning signals such as: • Capacity issues • Performance degradation • Configuration drift 3. Dashboards / Reporting / Alerts • Create easy-to-use outputs for operations teams (e.g., dashboard...

I am an expert trader who trades Forex full-time with a proven, rules-based system that blends technical analysis, fundamental insight, and automated execution. Over the past few years this disciplined approach has delivered reliable, repeatable returns, and I am now ready to scale it further by teaming up with a like-minded partner. What I am looking for is not a casual chat buddy but a committed professional who values structure, accountability, and steady improvement. Ideally you are located outside Europe and the United States, Asia would be perfect for time-zone coverage, but the decisive factor is mindset, not geography. How we will work together • Share and refine trade plans in real time, using agreed risk parameters. • Maintain detailed logs and analytics for conti...

I need a sharp set of summaries created from several internal project reports. The finished notes must be concise yet thorough, spotlighting all data analysis and figures so that busy team members can grasp the essentials at a glance. Scope • Read each report in full and isolate the most relevant statistics, charts, and numerical insights. • Write a clear, logically ordered text document for each report (or a consolidated master file if overlaps make sense), keeping language professional and jargon-free. • Highlight trends, outliers, and any data-driven conclusions that management should not miss. Requirements • Proven ability to distill complex information into plain English. • Strong attention to numerical detail—errors in figures are a deal-breaker...

I need a skilled data scientist to perform thorough descriptive analysis on an existing dataset. The goal is to surface key trends, summary statistics, and clear visual insights that non-technical stakeholders can quickly grasp. I will supply the raw data once we agree on the engagement; it is already cleaned enough for immediate exploration, but I’m open to your recommendations if additional preprocessing will strengthen the final story the numbers tell. Typical tools such as Python (pandas, matplotlib, seaborn), R (dplyr, ggplot2), or even Power BI/Tableau are all acceptable—please work in whichever environment lets you deliver crisp, reproducible results fastest. Deliverables • Concise written report (PDF or Word) outlining findings, notable patterns, and any unexpec...

I have a clean export of our sales-opportunity data and would like it turned into an interactive Power BI dashboard that highlights where each deal sits in the pipeline. The raw tables are ready to load; what I need is your expertise in data modelling, DAX and visual design so that I can quickly see pipeline stage distribution, spot bottlenecks and drill from a high-level funnel down to individual opportunities. Key deliverables • A .pbix file with an efficient data model and clear table relationships • Visuals that track pipeline stage counts, percentage flow-through and time-in-stage trends, with slicers for date ranges and sales rep • A short hand-off video or PDF explaining the measures, calculated columns and any custom visuals used I will share sample rows plus...

I have a numerical dataset that needs a careful scrub before any sense can be made of it. The main headache right now is outliers—they are skewing the story the numbers are trying to tell. I need you to detect, diagnose, and treat those extreme values using an approach you can justify statistically (Python / Pandas, R, or even advanced Excel are all fine as long as the method is transparent and reproducible). Once the data are healthy, I want straightforward descriptive statistics—think clear measures of central tendency, dispersion, and a concise written interpretation that highlights anything interesting the cleaned data reveals. No forecasting or trend-spotting models this time; just an honest summary of what the numbers say after the noise is removed. Deliverables: •...