R Programming Language Jobs

I need my brokerage statements turned into clear, trustworthy insights. The focus is performance analytics—precise figures for return, drawdown, win-rate, exposure, and anything else that shows how the account is truly behaving. Alongside that, I want a solid understanding of risk. Explain where the portfolio is vulnerable by running the most appropriate forms of risk analysis; whether that turns out to be value-at-risk, stress tests, custom scenarios, or a blend is up to you, as long as the logic is transparent and data-driven. Deliverables • A reproducible workbook or script (Python, R, Excel, etc.) that ingests my full trade history and outputs performance and risk metrics. • A short, plain-language report summarizing findings, methods, and actionable recommendati...

I need raw Tcrit and reflectance data from two experiments analyzed using R. Please also write results, discussion, and conclusion sections. Key requirements: - Statistical analysis expertise - Proficiency in R - Experience in scientific reporting Ideal skills and experience: - Familiarity with Tcrit and reflectance data - Strong background in statistical methods - Ability to interpret and discuss experimental results

I have a raw customer dataset that needs to be translated into clear, actionable insights about how people actually behave—purchasing habits, engagement trends, repeat-buy triggers, churn signals, and any other meaningful patterns you discover. The scope is straightforward: clean the data, choose the right statistical or machine-learning techniques, visualise the findings, and give me a concise written summary of the key behaviour patterns uncovered. I’m comfortable with whichever toolset you prefer—Python (pandas, scikit-learn, seaborn), R (tidyverse, caret), or a BI platform such as Power BI or Tableau—as long as the final output is reproducible and easy for me to explore. To gauge fit, please attach examples of past work where you turned customer data into ...

expert to design, and develop, a System Dynamics Model to strengthen its capacity for forward-looking micro-prudential supervision and forecasting. The model will provide supervisors with a dynamic tool to better understand how financial sector risks evolve in response to macroeconomic changes, policy shifts, and institutional behaviour. The primary objective is to develop a model that: • Simulates key banking sector risk indicators, including capital adequacy (CAR), liquidity, profitability, non-performing loans (NPLs), and leverage. • Integrates key macroeconomic variables such as GDP growth, interest rates, inflation, and fiscal policy changes, allowing supervisors to assess their influence on institutional risk profiles. • Provides scenario-based early warning functional...

I have a sizeable, time-stamped collection of vehicle telematics that combines three rich streams: • GPS data • Engine data • Driving behavior data My sole objective is to turn these inputs into an accurate, production-ready regression model that can predict and ultimately improve fuel efficiency across our fleet. The data already sits in clean CSV batches, each trip keyed by vehicle ID and timestamp; your job is to move from raw files to actionable predictions. What I need from you • Build an end-to-end data pipeline that ingests, cleans, and engineers features from the three datasets above, handling missing values and synchronizing timestamps. • Select and compare appropriate regression techniques—linear, elastic-net, gradient boosting, or any ...

Magyar anyanyelvű online spanyoltanárként szeretném, ha minél több honfitársam megtalálna a közösségi médiában. Ehhez keresek olyan tapasztalt média-menedzsert, aki: • elkészíti és beállítja a TikTok, Instagram és Facebook fiókjaimat (profil- és borítóképek, bio, linkek, alapértelmezett beállítások); • kidolgoz egy rövid tartalomstratégiát, amely heti rendszerességgel Videókat, Képeket és Szöveges posztokat kombinál; • gondoskodik róla, hogy minden közzétett anyag professzionális hangvételű ...