Statistics Jobs

I have a rich set of customer data and need it transformed into clear, actionable recommendations that directly guide our day-to-day decision-making. The task goes beyond describing what has happened; I expect you to model multiple scenarios, determine the best course of action for each, and spell out the expected impact on revenue, churn, and overall customer satisfaction. You are free to work in Python, R, or any other modern analytics environment as long as your code is reproducible and well-documented. SQL access to the source tables can be arranged if you prefer to build your own extracts. Deliverables: • Cleaned, well-structured dataset (or repeatable script that produces it) • A transparent prescriptive model with commentary on assumptions and limitations • A ...

Temporal Lesion-Aware Dynamic Gated Multimodal Fusion Framework for DR and DME Analysis Using OLIVES and MMRDR Datasets Framework Overview The proposed framework introduces a Temporal Lesion-Aware Dynamic Gated Multimodal Fusion System for automated analysis of Diabetic Retinopathy (DR) and Diabetic Macular Edema (DME) using multimodal retinal imaging data. The framework combines fundus images, OCT scans, longitudinal retinal information, and optional clinical metadata to improve retinal disease classification, biomarker understanding, and temporal disease progression analysis. Unlike conventional multimodal retinal systems that use static feature fusion, the proposed framework employs a: Dynamic Gated Cross-Modal Fusion Mechanism that adaptively learns the importance of each retinal modal...

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 manag...

This project presents a comprehensive data-driven analysis of Apple’s iPhone market impact in India using interactive Tableau visualizations. The dashboard explores trends in iPhone sales, customer preferences, pricing patterns, market growth, and consumer behavior across different regions and time periods. The objective of this project is to understand how Apple’s iPhone has influenced the Indian smartphone industry and consumer purchasing decisions. Using data visualization techniques, the dashboard transforms raw data into meaningful insights through charts, graphs, filters, and interactive stories. Key insights covered in the project include: Growth of iPhone users in India Comparison of iPhone models and pricing Customer satisfaction and buying trends Regional market an...

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 manag...

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 manag...

I have a historical sales dataset that I need turned into a reliable forecasting tool. Your task is to apply predictive analytics to uncover the underlying patterns in the data and generate accurate projections of future sales. Here’s how I see the engagement flowing: you will start by cleaning and exploring the raw files, engineer any features that improve signal, then build and validate a forecasting model. I’m open to the techniques you feel are most appropriate—ARIMA, Prophet, gradient-boosted trees, or a custom deep-learning approach—so long as the final model proves its worth on hold-out data. Deliverables • A fully documented model (code + reproducible environment) • A brief methodology report that explains assumptions, key drivers, and accu...

I am competing in a HackerEarth data-science contest and I want to push my score into the top tier of the leaderboard before the challenge closes next month. I have already set up the competition workspace and can grant you immediate access to the dataset, rules, and current public-leaderboard baseline. Here is what I need from you: build, tune, and iterate a high-performing regression model, supply well-commented code (Python is preferred, but you are free to choose the stack you are fastest with), and hand over a prediction file ready for final submission. Along the way, please keep a concise notebook or script that allows me to reproduce your workflow end-to-end on my own machine. In your bid, include links or brief summaries of past work that demonstrate strong results in similar com...

I already operate at an advanced level in cost and management accounting, yet I want to sharpen and systemise my expertise through a series of live, highly interactive tutoring sessions. The areas I would like to explore in depth are budgeting and forecasting, cost control and reduction techniques, financial reporting for internal decision-making, variance analysis, marginal costing, the full range of costing methods, and capital budgeting. The ideal approach is real-time collaboration—screen-sharing, digital white-boards, problem walkthroughs and immediate Q&A—rather than pre-recorded videos or passive reading. Please be prepared to work through complex, practice-oriented cases and help me build reusable models in Excel or any other analysis software you favour. By the e...

Brain disorder detection using Deep Learning Uses MRI brain scan images Detects multiple brain diseases automatically Early disease detection and diagnosis Multi-class classification system Diseases detected: Glioma tumor Pituitary tumor Meningioma tumor Alzheimer’s disease Healthy brain Uses Convolutional Neural Networks (CNN) Uses Transfer Learning techniques Models used: CNN VGG16 ResNet50 Dataset collected from Kaggle MRI datasets Combined brain tumor and Alzheimer datasets 1000 images used for training 250 images used for testing Image preprocessing and normalization Pixel values converted from 0–255 to 0–1 Feature extraction using convolution layers Pooling layers reduce computation Fully connected layers perform classification Softmax activation used for multi-clas...

I’m completing a data-visualization course assignment that relies on a school-provided dataset, and I’d like hands-on support turning it into clear, compelling visuals. The brief is flexible on the exact chart types, but I must deliver polished outputs in either Tableau or Microsoft Power BI—whichever you feel will best showcase the insights. What I need from you: • A finished workbook (Tableau .twbx and Power BI .pbix) containing all visuals and a clean-looking dashboard. • A short write-up or annotated notes explaining the steps you took, the reasoning behind each chart choice, and any data-prep work, so I can confidently discuss the process in class. Clean, well-labeled fields and consistent styling matter because presentation is graded. If you spot...

I have a collection of Excel and CSV files that hold our customer data—demographics, purchase history, engagement metrics, and a few custom fields. My goal is to see exactly what the numbers are telling us right now, without venturing into forecasting or optimization. Here’s what I need: • A clean-up of the raw spreadsheets (standardised headers, consistent data types, removal of obvious input errors). • Core descriptive statistics—totals, averages, ranges, frequency counts—and any relevant ratios that highlight customer behaviour. • Clear visual summaries: pivot charts, heat-maps, or other simple dashboards built with Excel (Power Query / Power Pivot is fine) or Python (pandas, matplotlib, seaborn) if you prefer. • A short narrative r...

I need a working software application that carries out statistical analysis on research datasets for my final-year project. The focus is purely on stats—no dashboards, mapping, or fancy visualisations—so everything you build should centre on clean numerical insight. Core functions I must demonstrate: • Upload or paste a CSV/Excel file. • Generate descriptive statistics (mean, median, mode, variance, standard deviation). • Run common inferential tests—t-test, chi-square, ANOVA, basic linear regression—selectable through a simple menu or GUI. • Export the results as a neatly formatted PDF or Word report so I can attach it to my submission. I’m flexible on the tech stack: Python (pandas, scipy), Java (Apache Commons-Math), or any langu...

I’m producing a new video series built around rapid-fire debates between two opposing teams. Each time a speaker makes a claim, the other side can flag it for immediate verification, and that’s where you come in. I need a fact-checker who can work in real time, draw on solid journalistic instincts, and surface reliable, citable information within minutes—sometimes seconds. Your background should be rooted in Journalism; you know how to separate opinion from evidence, spot misleading framing, and trace statements back to primary data. The conversations will lean heavily into the following: • Political debates • Social issues When a claim is challenged you’ll verify it on the spot, provide a concise verdict, and supply the exact citation so our host c...

I have an existing, well-structured quantitative dataset and I need an experienced statistician to turn it into clear, actionable insights. Your main task will be to clean the data if necessary, choose and justify the right analytical techniques, run the analyses, and explain the findings in plain language supported by tables and visualisations. The dataset is already collected, so there is no survey or experimental design work involved—this is purely about extracting value from secondary data. I am comfortable with you using R, Python (pandas / statsmodels), Stata, or SPSS; just let me know which environment you prefer so I can reproduce the results later. Deliverables: • A brief outline of the analytical plan before you begin • Reproducible code or syntax files with c...

I need a mentor to guide a high school student in developing a project on international relations. The role involves providing guidance, helping frame ideas, and offering research mentorship. This does not include completing any academic work or assignments on behalf of the student. Ideal skills and experience: - Expertise in international relations - Strong mentoring and communication skills - Experience in guiding research projects - Ability to synthesize complex information into coherent insights

I have a complete set of yearly sales figures that I need explored in depth. My main objective is to surface clear trends hidden in the numbers—patterns in revenue growth or decline, seasonal shifts, product or regional out-performance, and any anomalies that merit a second look. All raw data are already cleaned and stored in spreadsheets; if you prefer working in Python (Pandas, NumPy, Matplotlib/Seaborn) or an R environment, that’s fine—just let me know your choice so I can grant access to the files in the right format. Please feel free to bring your own BI tool for supplementary dashboards if it speeds up iteration. Deliverables I expect • A concise written report outlining the key trends you discover, backed by summary statistics. • Clear visualizati...

I need assistance with data analysis in Excel related to chemical engineering problems. Key Tasks: - Analyze chemical engineering data sets - Create visualizations (charts, graphs) to interpret data - Organize and structure data for clarity Ideal Skills and Experience: - Proficiency in Excel, especially for data analysis - Background in chemical engineering - Strong analytical skills - Experience with data visualization tools within Excel

I'm seeking assistance with my undergraduate dissertation in behavioural economics, utilizing a quantitative research methodology. The dissertation will rely solely on secondary data from existing datasets. Key Requirements: - Expertise in behavioural economics - Proficiency in quantitative research methods - Experience in sourcing and analyzing secondary data - Strong data analysis skills, preferably with statistical software (e.g., SPSS, Stata, R) Ideal Skills: - Background in economics, particularly in behavioural and quantitative aspects - Ability to interpret complex datasets - Strong academic writing skills for the dissertation report It is due on the 20th, it is 5000 words. Please provide samples of previous work and relevant qualifications.

I’m putting together a complete video course in Hindi and English that guides absolute beginners through the full journey of data analysis—from first principles all the way to hands-on work with popular tools such as Excel and Tableau. I need you to record the lessons yourself, speaking clearly, sharing your screen, and demonstrating every step so viewers can follow along in real time. The flow should start with fundamental concepts—types of data, descriptive statistics, basic visualisations—and gradually move into more advanced techniques like pivot tables, forecasting, and dashboard creation. Practical, example-driven teaching is essential; the audience has no prior experience, so every technique must be shown in context with a downloadable dataset. Deliverables...

I have match footage and raw event data that I need turned into a clear, numbers-driven assessment of individual players. The sole focus is on technical output—specifically passing and shooting accuracy—so I’m not looking for physical stats or broad tactical commentary this time. Here’s what I need from you: • Extract every pass and shot for the selected players across the full match. • Calculate completion rate, progressive pass count, key-pass frequency, shot accuracy, xG per shot, and any other technical indicator you see as relevant. • Present the findings in a concise, coach-friendly report that highlights strengths, weaknesses, and actionable tweaks (PDF or Google Slides). • Supply the cleaned dataset (CSV or Excel) plus any Python...

I am building a research-grade pipeline that focuses first and foremost on Diabetic Retinopathy (DR) grading, while keeping an eye on downstream extensions such as DME detection, retinal biomarker discovery, longitudinal modelling, cross-dataset generalisation and explainable retinal AI. Data at hand • Thousands of colour fundus photographs sourced from OLIVES, MMRDR and my own curated set. • Structured patient medical history accompanying a subset of those images. Core objectives 1. Train and validate a model that assigns the correct severity level to every DR image. 2. Surface early-stage indicators that could alert clinicians before conventional thresholds are reached. 3. Provide per-patient progression tracking so that sequential visits can be plotted and foreca...

I have finished collecting a complete set of survey responses and I am now at the data-analysis stage of my PhD paper. All I need is the technical statistics work carried out in IBM SPSS / AMOS so that I can move on to writing the results section with confidence. The core tasks I need from you are: • Reliability and validity checks for the measurement model (Cronbach’s α, Composite Reliability, AVE, discriminant validity). • A clean, well-reported Confirmatory Factor Analysis, including modification indices where improvements are justified and all standard fit indices (χ²/df, CFI, TLI, RMSEA, SRMR). • A full Structural Equation Model: model specification, estimation, fit evaluation, and standardized path coefficients. • Clear, editable AMOS ...

I’m pulling together a comprehensive quality-of-care dashboard in Power BI and need an expert who can turn our anonymised operational data into an interactive, insight-rich report. Data connection The model must plug straight into our KPI Trend Analysis 23-26 dataset—which is already housed in an on-prem SQL instance—and refresh automatically on a schedule we’ll agree together. Visual story Once connected, I want you to surface the following performance views: • KPI cards that spotlight headline metrics at a glance • Multi-period trend charts for deeper time-series exploration • Department scorecards that roll up results in a way frontline managers can immediately act on • A risk heat map highlighting emerging problem areas •...

I need a thorough market analysis that turns raw data into clear, actionable insights. The study should size the market, map growth patterns, highlight key drivers, and reveal any gaps or untapped segments worth pursuing. Because my exact industry focus is still open, we can settle on the most promising sector—technology, healthcare, retail, or another niche you recommend—once you’ve reviewed early findings and identified where opportunity is strongest. Here’s what matters most to me: • Robust secondary research sourced from reputable databases, trade publications, and public filings. • Concise competitive snapshots that show who dominates and where challengers can gain ground. • Meaningful data visualisations (charts, heat maps, dashboards) th...

We’re Hiring! Data Scientist | The Red Arc Location: Remote We’re looking for a passionate Data Scientist with 0 to 1 years of experience to join our growing team at The Red Arc. If you enjoy working with data, uncovering insights, and building intelligent solutions that drive better decisions, this opportunity could be a great fit. What we’re looking for: 0 to 1 Years of experience Degree in BE, BTech, BSc, MSc, or a related field in Computer Science, Data Science, Statistics, or Mathematics Strong foundation in Python, SQL, and data analysis Experience with data visualization tools such as Power BI, Tableau, or similar Familiarity with machine learning concepts and libraries like Pandas, NumPy, Scikit-learn Understanding of data cleaning, feature engineering, and mode...

I need a Computational Fluid Dynamics (CFD) simulation expert for HVAC systems, focusing on thermal analysis. The primary goal is to analyze temperature gradients. Key Requirements: - Expertise in CFD simulation - Specialization in thermal analysis for HVAC systems - Ability to accurately model and analyze temperature gradients Ideal Skills: - Proficiency in CFD software (e.g., ANSYS Fluent, COMSOL Multiphysics) - Strong analytical skills - Background in HVAC design and thermal dynamics Please provide relevant experience and any similar projects completed.

Senior Cognitive Research Challenge Participant Advanced Human Intelligence & Reasoning Study (Paid Research Opportunity) We are inviting highly accomplished professionals, researchers, academics, and deep thinkers to participate in an exclusive Cognition Research Challenge designed to study advanced human reasoning, decision-making, abstract thinking, scientific intuition, and interdisciplinary problem-solving. This initiative supports the development of next-generation intelligence systems, human cognition modeling, and advanced reasoning research. Role Overview Selected participants will engage in high-level recorded sessions involving: Scientific reasoning challenges Abstract and first-principles problem solving Pattern recognition and systems thinking tasks Ethical and philos...

I’m looking for hands-on guidance that will strengthen my technical toolkit specifically in statistical analysis. My aim is to move beyond simply running canned tests and instead understand the “why” behind each method, interpret results confidently, and apply them to real-world data sets. Here’s what I have in mind: • A clear learning plan that starts with core concepts (descriptive statistics, hypothesis testing, confidence intervals) and progresses into more advanced topics such as regression, ANOVA, and multivariate techniques. • Live or recorded walkthroughs of each concept using widely-used tools—Excel, Python (pandas, SciPy, statsmodels) or R—whichever you feel most comfortable teaching. • Practical exercises with sample or c...

I'm looking for an expert to transform data from a single Excel sheet into a Power BI summary report. Key Metrics to Include: - Received - Endorsed - Awaiting Further Info - Average Number of Days to Complete Ideal Skills and Experience: - Proficiency in Excel and Power BI - Experience in creating summary reports - Strong analytical skills - Attention to detail

I'm seeking an expert in systematic reviews for guidance on conducting a review with limited studies. Key areas: - Feasibility of conducting a systematic review with only one study - Evaluating intervention effectiveness - feasibility of conducting a systematic review and narrative synthesis Ideal skills and experience: - Expertise in systematic reviews - Experience with limited data sets - Strong analytical skills

Assignment Description This assignment will allow you to apply the principles of data visualization to a real-world dataset. You will have to create a scatterplot and then interpret your graph. Dataset: Diamond Download Diamond prices.xlsx. This dataset contains multiple variables related to diamonds and their characteristics that you can analyze and visualize. Instructions Your task is to visualize with a scatterplot a potentially interesting relationship between two variables that is worth visually exploring. Scatterplot Creation Using the dataset provided, create a scatterplot that represents the relationship between diamond carats and prices (in USD). As there is a huge number of registers, let’s apply some filtering to plot just the best diamonds included in the...

I have a data-analysis assignment focused solely on cleaning a dataset I refer to as “Point 131.” The current raw file shows a CPM value of 116 but contains inconsistencies, blanks, and probable entry errors that must be resolved so the final table reflects 100 % accuracy. What I need from you is a systematic, well-documented cleaning pass: remove duplicates, correct obvious typos, standardize formats, flag outliers, and leave me with a pristine file plus a brief change log that explains every edit. I am not under time pressure, so you can take the time required to reach the highest quality standard rather than rushing through. You may use whichever tools you are most comfortable with—Python (pandas), R (dplyr), Excel Power Query, or any reliable data-wrangling environm...

I have a data-analysis assignment focused solely on cleaning a dataset I refer to as “Point 131.” The current raw file shows a CPM value of 116 but contains inconsistencies, blanks, and probable entry errors that must be resolved so the final table reflects 100 % accuracy. What I need from you is a systematic, well-documented cleaning pass: remove duplicates, correct obvious typos, standardize formats, flag outliers, and leave me with a pristine file plus a brief change log that explains every edit. I am not under time pressure, so you can take the time required to reach the highest quality standard rather than rushing through. You may use whichever tools you are most comfortable with—Python (pandas), R (dplyr), Excel Power Query, or any reliable data-wrangling environm...

I need a model for predicting the success of bariatric surgery in adolescents with diabetes using parameter estimation. The model should be based on clinical data. Data Available: - Clinical data: Medical history, Laboratory results - Preferred methods: Combination of statistical analysis and machine learning Ideal Skills: - Expertise in statistical analysis and machine learning - Experience with clinical datasets - Strong background in medical data interpretation

I have raw sales data coming in daily, and I need it transformed into clear, interactive Power BI dashboards that let me track performance at three levels—daily, monthly, and quarterly—without having to wrestle with spreadsheets. Scope of analysis • Sales volume trends so I can spot spikes or drops immediately. • Product-level insights that rank best- and worst-performing items at a glance. • Regional comparisons to show which areas are driving revenue and which need attention. .Sales person wise product and product category wise and product wise sales Preferred visuals Bar charts, line graphs, and pie charts work best for my team, so the finished reports should lean on those, switching automatically when I filter dates, products, or regions. D...

I have a CSV that logs product sales alongside TV, Radio, and Newspaper advertising spend. I want a clean, reproducible Python workflow that turns this data into an accurate sales-forecasting model and a concise set of insights for decision-makers. The raw file contains a few gaps, so your first step is to inspect, clean, and appropriately impute missing values. Once the data is tidy, explore it with Pandas, NumPy, Matplotlib, and Seaborn to surface correlations and outliers. For modelling, start with a well-documented Linear Regression approach using scikit-learn. If you see a clear uplift from adding regularisation or polynomial terms, feel free to include that comparison, but keep the final deliverable focused on a model that is simple to interpret and easy to retrain. Deliverables ...

We are looking for an Engineering Mathematics research expert for mathematical science projects. If you have the experience in areas of mathematical combined with sciences such as biomedical and engineering research project skills. This is a perfect match if your have several research published in researchgate.

I have a set of raw sales figures and I need a clear, well-structured descriptive analysis. Your task is to explore the data, calculate the key summary statistics, and surface meaningful trends or anomalies that a non-technical stakeholder can understand at a glance. Please: • Clean and prepare the dataset as needed • Produce summary metrics (totals, averages, growth rates, top-performing products or regions, etc.) • Visualise the findings with straightforward charts or an interactive dashboard • Deliver a concise written explanation of what the numbers mean for the business I’m flexible on the tools—Python (pandas, matplotlib, seaborn), R, or even an Excel Power Query/Pivot workflow are all fine—so long as the process is reproducible and the f...

Pls read carefully I need a sharp academic editor / writer to bring the last pieces of my mixed-methods dissertation together. First, please run a quick consistency check to be sure the qualitative interview results and the survey-based quantitative results (chapter 4) still point in the same direction. Any misalignment should be flagged and briefly explained so the narrative in Chapter 4 remains airtight. Next comes Chapter 5, the case study. We will validate (both data streams) through a small set of fresh interviews—around five or six key personnel is enough. Assume any contextual variables you need, then walk each participant through the previously identified themes and statistical findings. Document where the interview feedback confirms, nuances, or contradicts those earlier...

I need backtesting for several momentum-based stock trading strategies and, once the numbers check out, a clean piece of code that automates each setup end-to-end. Here is what I already have on hand and will share the moment we start: • Historical price data for all tickers involved • A library of technical indicators calculated for the same period Your first task is to run a rigorous backtest on every strategy, report the key performance metrics, drawdowns, trade statistics, and an equity curve that I can easily interpret. If tweaks are required, we will iterate until the logic is solid. When the strategy logic is confirmed, I want it coded in a production-ready script (Python, Pine Script, or another language you recommend). The final deliverable should: • Reproduc...

I’m looking for a trainer who can guide me through the advanced-level capabilities of Microsoft Dynamics 365 Sales and Customer Service, together with the complementary tools in the Power Platform (Power Apps, Power Automate and Power BI). I already understand the basics; what I need now is a practical deep dive that shows how to streamline the full lead-to-cash process, automate repetitive tasks, and surface insights through customised dashboards. The engagement will be one-on-one, conducted live online, and paced so that each concept is immediately applied in my own sandbox environment. I’d like you to: • Structure a clear learning path that moves from configuring advanced entities, business process flows and interactive dashboards all the way to building model-driven ...

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<< Am nevoie de ajutor in redactarea lucrarii mele de licență. Sunt studentă la FABBV ASE Bucuresti, iar tema este “Analiza calitativa si/sau cantitativa a gradului de bancarizare al populatiei”. >> Am nevoie de o analiză atât calitativă, cât și cantitativă a gradului de bancarizare a populației din România. Mă interesează să înțeleg motivațiile, barierele și profilul socio-demografic al persoanelor bancarizate și nebancarizate, precum și dimensiunea numerică și evoluția segmentelor-cheie. Metodologia rămâne la latitudinea ta, însă mizez pe: • colectare și prelucrare de date secundare (INS, BNR, Eurostat, rapoarte internaționale) • elaborarea unui chestionar sau interviuri ghidate pentru date primare, dacă vezi utili...