Hire the Best Quantitative Analysts

Do you need accurate insights from your survey or research data to make informed decisions using statistical data analysis? Or would you like to engage the service of a proven and vetted data scientist to help review or build validated statistical models for your organization? Or do you need some help with some parts of your thesis/dissertation writing, including the literature review, methodology, etc.? Look no further! I am Dr. Oladipupo, one of the few statisticians/biostatisticians, data analysts/scientists, and statistical data analysts who understand the language of data and can interpret it with precision. ⭐ 5-Star Ratings | Data Analytics and Predictive Modeling | 💎 MASTER/PHD THESIS Help |✅Statistics, Panel Data, Time series Econometrics | ✅ SPSS, STATA, R, PYTHON, SAS, Tableau, Power BI | ✅Data Science, Machine Learning Models | ✅STATA Master, Large Survey Data and Regression Analysis, Economic Policy Evaluation, Predictive Financial Modeling | ✅ Humanizing AI write-ups manually 🏆PhD and 15 years of experience. As a statistics don, SPSS and survey expert, and Tutor, my area of expertise includes the following: ⭐️Questionnaire/survey design; ⭐️Survey data analysis: descriptive and inferential (Chi-Square, regression, correlation, t-test, ANOVA etc); ⭐️Detailed interpretation of results ⭐️Report writing of the study, results, and interpretation. ⭐️Sound knowledge and expertise of APA and Harvard referencing styles. ⭐️ Rewriting AI-written materials manually and establishing flow, coherence, and academic language ✅I have published and contributed to the data analysis of research manuscripts in various fields such as Biostatistics, Public Health, Psychology, Education, Economics, Finance, and much more. ✅I have an excellent command of IBM SPSS, AMOS, R, Excel, E-views, and Stata to analyze your data. I can provide a variety of services that include but are not limited to: ★ Sample size calculations ★ Correlation and Multivariate Regression Analysis ★ Hypothesis Testing ★ Statistical modelling ★ Factor analysis (EFA and CFA) and structural equation modelling ▶︎ and much more 𝐖𝐡𝐚𝐭 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐬𝐚𝐲👉👉👉 ☆☆☆☆☆☆☆ ""A very responsive and very knowledgeable professional. Finished all work on time and was excellent with communication. Would certainly work with him again" ❝Oladipupo is an excellent data analyst who delivers top-quality work, ensures solid communication, and delivers above and beyond what is expected❞ ❝I'll recommend him for any statistics/analysis task you have❞ ☆☆☆☆☆☆☆ ✍️ Feel free to get in touch, and we can discuss your project further.

𝗜 𝗮𝗺 𝗮 𝘁𝗼𝗽-𝗿𝗮𝘁𝗲𝗱 𝗾𝘂𝗮𝗻𝘁𝗶𝘁𝗮𝘁𝗶𝘃𝗲 𝗮𝗻𝗮𝗹𝘆𝘀𝘁 𝘄𝗶𝘁𝗵 5+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗶𝗻 𝗲𝗰𝗼𝗻𝗼𝗺𝗲𝘁𝗿𝗶𝗰𝘀, 𝗯𝗶𝗼𝘀𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝘀, 𝘀𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗮𝗹 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀, 𝗮𝗻𝗱 𝗳𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 𝘂𝘀𝗶𝗻𝗴 𝗥, 𝗦𝘁𝗮𝘁𝗮, 𝗦𝗣𝗦𝗦, 𝗮𝗻𝗱 𝗘𝘅𝗰𝗲𝗹. I help researchers, businesses, and healthcare professionals turn complex data into clear, reliable, and actionable insights through rigorous statistical modeling, reproducible analysis, and publication-ready reporting. My approach goes beyond running tests. I focus on selecting the right methodology, validating assumptions, and delivering results that stand up in academic, clinical, and professional environments. Most data problems aren't solved by running more tests; they're solved by asking the right questions first. That's where I come in. ⤷ 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗼𝗻 𝗨𝗽𝘄𝗼𝗿𝗸 ⤷ 46+ 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲𝗱 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 ⤷ 100% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 𝗦𝗰𝗼𝗿𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱: 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 𝗥 (𝗜𝗕𝗠) ⤷ 𝗥 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 (𝗜𝗕𝗠) | 𝗚𝗼𝗼𝗴𝗹𝗲 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 What I do for you: → Statistics, Econometrics & Quantitative Research → Data Analysis, Statistical Analysis & Data Modeling → R Programming, Statistical Computing & Data Visualization → Stata, IBM SPSS, Python & Reproducible Statistical Programming → Regression Modelling (OLS, IV, Linear & Logistic Regression) → Fixed Effects, Random Effects & Panel Data Analysis → Survival Analysis & Biostatistics → Time Series Analysis & Forecasting → Multivariate Statistics & Predictive Modeling → Hypothesis Testing, Experimental Design & Power Analysis → Statistical Process Control (SPC) → Survey, Cross-Sectional & Longitudinal Data Analysis → Dissertation & Thesis Statistical Support → Data Cleaning, Preparation & Interpretation of Results → Publication-Ready Tables, Visualizations & Reports → Academic, Medical, Financial & Business Research Analytics → Well-Documented and Reproducible Analysis Workflows whom I work with: Small and medium businesses, Postdoctoral researchers, PhD and Master’s students, academic supervisors, economists, policy analysts, healthcare professionals, financial analysts, and business teams who require rigorous statistical analysis, econometric modeling, forecasting, quantitative research, and data-driven insights — not just numbers on a page, but clear, reproducible, and actionable results. What makes this different: I don't hand you output and disappear. I explain what results mean, what they don't mean, and how to defend your methodology if challenged. If a model assumption is violated, I tell you — and fix it. If a simpler approach gives you a cleaner answer, I'll recommend it even if it's less impressive-looking. Typical projects include: → Chapter 3: Statistical Support for dissertations and theses → Panel data modelling with fixed and random effects → Time series forecasting and ARIMA modelling → Survival and event-history analysis for clinical datasets → Econometric modelling for policy evaluation and program impact If you have a dataset, a deadline, or just a research question you're not sure how to approach, send me a message. I'll respond within a few hours and tell you exactly how I can help. Thank you

𝐀𝐫𝐞 𝐲𝐨𝐮 𝐚 𝐟𝐨𝐮𝐧𝐝𝐞𝐫, 𝐞𝐱𝐞𝐜𝐮𝐭𝐢𝐯𝐞, 𝐢𝐧𝐯𝐞𝐬𝐭𝐨𝐫, 𝐨𝐫 𝐞𝐧𝐭𝐫𝐞𝐩𝐫𝐞𝐧𝐞𝐮𝐫 𝐬𝐢𝐭𝐭𝐢𝐧𝐠 𝐨𝐧 𝐚 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧 𝐭𝐡𝐚𝐭 𝐜𝐨𝐮𝐥𝐝 𝐜𝐡𝐚𝐧𝐠𝐞 𝐞𝐯𝐞𝐫𝐲𝐭𝐡𝐢𝐧𝐠, 𝐛𝐮𝐭 𝐲𝐨𝐮 𝐝𝐨 𝐧𝐨𝐭 𝐡𝐚𝐯𝐞 𝐭𝐡𝐞 𝐝𝐚𝐭𝐚 𝐭𝐨 𝐦𝐨𝐯𝐞 𝐟𝐨𝐫𝐰𝐚𝐫𝐝 𝐰𝐢𝐭𝐡 𝐜𝐨𝐧𝐟𝐢𝐝𝐞𝐧𝐜𝐞? Making the wrong call because you lacked the right information is one of the most expensive mistakes in business. You might be entering a market blind, watching a competitor take your customers without understanding why, pouring money into an investment that has not been properly vetted, or spending hours trying to research things yourself instead of focusing on what you actually do best. These problems do not just cost you time. They cost you money, momentum, and opportunity. 𝐈𝐦𝐚𝐠𝐢𝐧𝐞 𝐭𝐡𝐢𝐬 𝐢𝐧𝐬𝐭𝐞𝐚𝐝: Your next big decision is backed by deep, verified, professionally structured research. You walk into the boardroom, the pitch meeting, the negotiation, or the hiring conversation with complete clarity and total confidence. You know your market better than anyone in the room. You know exactly what your competitors are doing and where their gaps are. You know whether your investment holds up under scrutiny. You know what your customers actually want and how they talk about it. And the best part is you did not spend a single hour doing the research yourself. 𝐓𝐡𝐢𝐬 𝐢𝐬 𝐧𝐨𝐭 𝐚 𝐟𝐚𝐧𝐭𝐚𝐬𝐲. 𝐓𝐡𝐢𝐬 𝐢𝐬 𝐞𝐱𝐚𝐜𝐭𝐥𝐲 𝐰𝐡𝐚𝐭 𝐡𝐚𝐩𝐩𝐞𝐧𝐬 𝐰𝐡𝐞𝐧 𝐲𝐨𝐮 𝐰𝐨𝐫𝐤 𝐰𝐢𝐭𝐡 𝐦𝐞. I am your dedicated research analyst and intelligence partner. I provide a complete, done-for-you research solution that handles everything from brief to final deliverable so you can stop guessing and start moving. I remove every information gap standing between you and your next confident decision. I become the research arm of your operation, so you can stay focused on leading, building, and growing. 𝐖𝐡𝐚𝐭 𝐈 𝐂𝐚𝐧 𝐇𝐞𝐥𝐩 𝐘𝐨𝐮 𝐖𝐢𝐭𝐡: Market Research & Industry Analysis Competitor Intelligence & Analysis Investment & Due Diligence Research Business Research & Feasibility Analysis Lead Generation & Prospect Research Job Search & Career Intelligence UX & Consumer Research Medical & Clinical Trial Research Product Research Real Estate Research Grant & Funding Research Academic & Literature Research Social Media & Influencer Research Startup & Venture Research Regulatory & Compliance Research If you are ready to stop operating on gut feeling and start making decisions backed by real intelligence, 𝐒𝐄𝐍𝐃 𝐌𝐄 𝐀 𝐌𝐄𝐒𝐒𝐀𝐆𝐄. Tell me what you are trying to figure out. I will tell you exactly how I can get you the answer. 𝐘𝐨𝐮𝐫 𝐧𝐞𝐱𝐭 𝐠𝐫𝐞𝐚𝐭 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧 𝐬𝐭𝐚𝐫𝐭𝐬 𝐰𝐢𝐭𝐡 𝐭𝐡𝐞 𝐫𝐢𝐠𝐡𝐭 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡. 𝐋𝐞𝐭 𝐮𝐬 𝐠𝐨 𝐠𝐞𝐭 𝐢𝐭. 𝐌𝐘 𝐒𝐄𝐑𝐕𝐈𝐂𝐄 𝐈𝐍𝐂𝐋𝐔𝐃𝐄𝐒 Market Research, Business Research, Competitor Analysis, Investment Research, Lead Generation, Market Analysis, Product Research, Job Search Research, Business Analysis, Due Diligence, UX Research, Consumer Research, Survey Design, Data Analysis, Company Research, Online Research, Medical Research, Clinical Research, Internet Research, Real Estate Research, Grant Research, Academic Research, Literature Review, Startup Research, Regulatory Research, Compliance Research, Influencer Research, Social Media Research, Venture Research, Feasibility Study, Industry Analysis, Market Sizing, Competitive Intelligence, Prospect Research, Contact List Building, B2B Research, LinkedIn Research, Salary Research, Career Research, Product Sourcing, Supplier Research, Amazon FBA Research, E-commerce Research, Niche Research, Keyword Research, Financial Research, Stock Research, Crypto Research, Real Estate Due Diligence, Pharmaceutical Research, Drug Research, Clinical Trial Research, Medical Literature Review, Legal Research, Background Research, News Research, Fact Checking, Data Collection, Data Mining, Web Research, Database Research, Report Writing, Research Reports, Business Intelligence, Market Entry Research, Go-To-Market Research, TAM/SAM/SOM Analysis, SWOT Analysis, Pricing Research, Brand Research, Customer Insights, User Research, Consumer Behavior Research, Content Research, Trend Analysis, Industry Reports, Sector Analysis, Company Profiling, Executive Research, Decision Maker Research, Healthcare Research, Nonprofit Research, Policy Research, Government Research, Education Research, Technology Research, SaaS Research, Startup Due Diligence, Investor Research, Fund Research, ETF Research, Partnership Research, Franchise Research, Import/Export Research, Trade Research, Relocation Research, Travel Research, Genealogy Research, Event Research

I help research teams and technical founders build reliable, testable scientific and quantitative software — from research prototypes and backtesting frameworks to production-grade execution systems, simulation engines, and performance optimization. I also conduct independent technical review of quantitative models, frameworks, and research. If you're dealing with slow code, messy data, a model you can't trust, or a research prototype that needs to become production, I can turn it into a robust, reproducible system. Credibility: PhD Physics (NYU, 2018). Quantitative Research at JPMorgan Chase (derivative pricing, 1M+ LOC C++ library). Max Planck Institute postdoc (general relativistic hydrodynamics simulations on HPC clusters, 1000+ cores). 13 peer-reviewed publications, 1,300+ citations, h-index 12. WHAT I DELIVER ▸ Quant & Options Engineering Backtesting frameworks (event-driven or vectorized), walk-forward, leakage checks Options analytics: Greeks, IV surfaces, Black-Scholes / numerical methods Research → production pipelines (clean architecture, tests, logging, monitoring) Execution integrations (e.g., IBKR) and robust order/risk handling Market data ingestion, cleaning, corporate actions handling, quality control checks ML and statistical models for time-series signals (proper time-series CV, no leakage) ▸ Scientific Computing & Research Tooling Custom software and research tooling for research-driven teams across physics, chemistry, biology, engineering and beyond — where the underlying problem is mathematical or computational. - Custom numerical solvers (finite volume / finite difference, spectral methods, particle methods), with stability and convergence analysis - Optimization engines (Bayesian optimization, gradient-based, evolutionary) for experimental design, formulation, and parameter search - Simulation frameworks for physical, chemical, and biological systems — from prototype to production-grade - Scientific data pipelines: ingestion, transformation, quality control, reproducible workflows - Verification and validation: benchmarks, unit tests, regression tests, convergence studies - Analysis tools, dashboards, and reporting infrastructure for research workflows - Air-gapped and reproducible deployments where IP sensitivity or regulatory context requires it ▸ Quantitative & Mathematical Review (NDA-protected) Independent technical review of quantitative models, frameworks, and research Verification of internal consistency, identifiability, hidden assumptions, and mathematical correctness Assessment of whether the formal structure supports the conclusions drawn from it Review of implementation against specification: numerical stability, edge cases, and code-to-specification fidelity ▸ HPC & Performance Engineering Performance engineering for large-scale scientific and ML workloads Distributed computing (MPI/OpenMP/CUDA), GPU optimization, memory and I/O tuning, parallel architectures, inference and training infrastructure at scale. Profiling, refactors, and speedups for codebases that need to run reliably under production load. WHY CLIENTS WORK WITH ME - Trustworthy engineering: I turn research prototypes into tested, reproducible production code - De-risking: I find failure modes early (leakage, overfitting, edge cases, scaling bottlenecks) - Maintainability: clean architecture, docs, and handover-ready delivery your team can extend - Communication: clear milestones, concise updates, realistic timelines — no surprises - Math ↔ engineering bridge: strong intuition for both theory and implementation details IDEAL PROJECTS - Quant strategy development, backtesting and research infrastructure - Options analytics and derivatives tooling - Mathematical review of quantitative manuscripts, white papers, or research frameworks - Independent validation of production models or implementations against specification - Market data pipeline and reproducibility upgrades - Performance optimization of slow Python/C++ codebases - Distributed training, GPU optimization, and inference serving for AI/ML workloads - Custom scientific or industrialized simulation or numerical software - Custom internal R&D tools for research labs and technical teams If this sounds like a fit, message me with a detailed brief with your current stack and success criteria — I'll let you know how I can help.

🏆 Data Scientist and Machine Learning Engineer 💼 2+ Years of Experience In Data Science | | Data Analysis | Machine Learning | Deep Learning | Time Series Modelling Hi, I am Jazib, and here are 🌟 The reasons for You to Hire me?🌟 ✔ Collaborate closely to understand the problem domain. ✔ Propose potential solutions based on our understanding. ✔ Refine the solution until it meets your satisfaction. ✔ Verify the product and results with your requirements. ✔ Offer unlimited revisions until you are happy! Now, let me tell you about myself. I'm a seasoned Data Scientist and a Machine Learning Engineer with a background in software engineering and I bring over 2.5 years of hands-on experience developing end-to-end machine learning projects using TensorFlow, PyTorch, and Scikit-Learn. Throughout my career, I've successfully delivered multiple projects for clients, garnering praise for my abilities to not only build Machine Learning models but also make them impactful by making them transparent and usable for the layman. My principles are to use my expertise in Machine and Deep Learning to create impactful and yet useful models that can be deployed easily as well. My portfolio includes a diverse range of Projects, including: 🌟Data Agnostic Financial Time Series Forecasting (FinForecastHub) - Making a product that automates the collection, cleaning, and preprocessing of a company's financial data, and trains an automated deep learning-based time-series forecasting model whose architecture is completely generic and data agnostic. 🌟Credit Worthiness in Microfinance Banks using Explainable AI - a research project aiming at using Explainable AI / Trustworthy ML to make models that can do credit scoring of loan applicants. The project uses multiple machine learning models including ensembling and tree models like XGBoost to classify loan applicants and then makes models transparent for lay-man like Bank Employees using Explainable AI tools like SHAP, so that bank employees can trust the process. 🌟Food Calorie Estimation Using OpenCV and YOLO - using Image Processing and Object Detection techniques to classify foods and then predicting calories in those foods. The project aims to help people fight obesity, and keep track of their calories. 🌟Deep Learning for Time Series Financial Forecasting - a platform where business analysts can upload the company's financial dataset and our state-of-the-art (SOTA) non-transformer based deep learning models like TinyTimeMixer (TTM) on the backend will be trained on runtime and provide accurate financial forecasts on user interface. The project aims to reduce latency and provide accurate results given dataset of any nature (small or big, clean or uncleaned, processed or unprocessed). Additionally, I believe in following the industry process of software development that includes collecting user stories/requirements, doing extensive design planning, and then using best coding practices to develop a simpler and appealing solution, I also believe that user feedback is the most important element of software development that makes you create a useful effective product. Now, as I've discussed my projects and experience, I want you to know that if you're looking for a talented Data Scientist and a Machine Learning Engineer who can transform your requirements into real end-to-end product then I'm the choice. Let's connect so that I can get to know what you want!

Do you need publication-ready results for your research, business, clinical trial, dissertation, or DNP project? Not sure which statistical test fits your study design? I got you! I am statistician and biostatistician specializing in statistical analysis, data interpretation, and healthcare research. I have helped clinical researchers, PhD and MSc researchers, and business owners. My expertise includes working with datasets from surveys, clinical studies, and public databases like NHANES, CDC, DHS, and IPUMS. My rigorous analysis is designed to withstand peer review and inform strategic business decisions. Statistical Analysis Services: - Linear, Logistic, and Multinomial Regression Analysis - Repeated Measures ANOVA and Mixed Effects Models - Survival Analysis (Cox PH, Kaplan-Meier) - Survey Data Analysis (SurveyMonkey) - Structural Equation Modeling (SEM) and Confirmatory Factor Analysis (CFA) - Longitudinal Data Analysis and Multilevel Modeling - Latent Class Analysis using R or STATA - Power Analysis and Sample Size Calculation - Missing Data Imputation (MICE) Data Mining Expertise: - NHANES (National Health and Nutrition Examination Survey) - CDC Wonder, MEPS and NIHS - DHS (Demographic and Health Surveys) - IPUMS (Integrated Public Use Microdata Series) Software Proficiency: - R (RStudio, tidyverse, ggplot2) - IBM SPSS, Stata, SAS - Python (Jupyter, scikit-learn) - Excel With a Master's degree in Statistics, specializing in Biostatistics, and over 8 years of experience, I have completed more than 200 projects on Upwork, achieving a 96% job success score and an average rating of 4.8. My analyses have contributed to successful journal publications, DNP projects, and strategic business decisions. Ready to start? Send me your dataset or a brief description of your project. Thank you, Daniel