Hire the Best Statistical 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'm a Top Rated Data Analyst on Upwork with over five years of hands-on experience in econometrics, biostatistics, statistical analysis, and forecasting. I've worked with PhD researchers scrambling before their defense, policy teams who needed econometric data analysis that could survive a room full of critics, and healthcare professionals whose clinical data analysis had to meet journal standards before submission. In every case, the goal was the same: to get the data analysis right, explain it clearly, and make sure it holds up. ⤷ Top-rated Data Analyst on Upwork ⤷ 46+ completed data analysis projects ⤷ 100% Job Success Score ⤷ Certified: Data Visualization with R (IBM) | R for Data Science (IBM) | Google Analytics Here's what I've learned after five years of data analysis work: Most projects don't fail because of bad data. They fail because the wrong question was asked, the wrong model was chosen, or the assumptions were never checked. That's the gap I close. Before I run a single test, I make sure I understand your research question, your dataset, and what your results actually need to prove. What I do for you I handle the full data analysis process — from messy raw data to clean, documented, publication-ready results. Depending on your project, that means: As your Data Analyst for academic and dissertation work, I support Chapter 3 from start to finish — research design, data preparation, model selection, assumption testing, results interpretation, and write-up in language your committee will accept. As your Data Analyst for econometric and policy research, I build models for program evaluation, policy impact, and causal inference — OLS, IV, difference-in-differences, panel data analysis with fixed and random effects, and time series data analysis with ARIMA, VAR, and cointegration testing. As your Data Analyst for biostatistics and healthcare research, I deliver clinical data analysis to publication standard — survival analysis, Cox regression, Kaplan-Meier curves, longitudinal data analysis, and multilevel modeling for health datasets. As your Data Analyst for business and financial projects, I provide data analysis that supports real decisions — predictive modeling, financial forecasting, regression analysis, and business intelligence reporting that goes beyond surface-level dashboards. Every data analysis engagement is delivered with reproducible, well-documented code in R, Stata, Python, or SPSS — so your results can be verified, defended, and built upon. Data Analysis Tools: R | Stata | Python | SPSS | SAS | EViews | Excel Whom I work with I work best with people who take their data analysis seriously. That includes PhD and Master's students whose dissertation data analysis needs to withstand a defense, economists and policy analysts who need econometric data analysis that holds up under scrutiny, healthcare and clinical researchers whose data analysis has to meet peer-review standards, and businesses or financial teams who need data analysis that actually informs decisions. If you're not sure whether your project fits — ask. I'll tell you honestly. What makes my data analysis different I don't finish a data analysis and go quiet. I tell you what the results mean, what they don't mean, and what someone might challenge — before they do. If an assumption is violated, I flag it and fix it. If a simpler method gives you a more defensible answer, I'll recommend it even if it makes my work look less complex. Every data analysis I deliver is fully reproducible, clearly documented, written in plain language, and backed by the methodology that actually fits your data — not the one that looks most impressive. Projects I handle regularly Dissertation data analysis — Chapter 3 through final results Panel data analysis with fixed and random effects Time series data analysis and ARIMA forecasting Survival data analysis for clinical and public health research Econometric data analysis for policy evaluation and causal inference Business data analysis for forecasting and financial modeling Healthcare data analysis for medical research and clinical trials Survey and cross-sectional data analysis for academic and applied research Have a dataset, a deadline, or a research question you're not sure how to frame? Send me a message. I respond within an hour, and I'll tell you straight away how your data analysis should be approached and whether I'm the right person to help.

I help organizations transform complex data into actionable insights that drive growth, improve decision making, and create measurable business value. With a PhD in econometrics, statistics, and causal inference and more than a decade of quantitative experience, I specialize in data science, predictive modeling, survey research, marketing analytics, business intelligence, experimentation, and advanced statistical analysis. My experience spans e-commerce, iGaming, insurance, banking, non-profit, automotive, telecom, retail, healthcare, engineering, and research sectors. I have delivered projects ranging from forecasting, predictive modeling, customer analytics, and large-scale survey research to marketing measurement, attribution, and end-to-end analytics platforms. I have extensive experience working with survey and observational data, including questionnaire design support, survey data cleaning and validation, scale and index construction, missing data handling, exploratory analysis, statistical modeling, and results visualization. I have analyzed customer, employee, stakeholder, healthcare, and research survey data using techniques such as logistic regression, count models, multilevel models, Bayesian methods, and causal inference approaches, translating complex findings into actionable recommendations. I have extensive experience building data-driven solutions using Python and SQL, including data analysis, machine learning, forecasting, statistical modeling, Bayesian analysis, survey analytics, customer segmentation, and decision-support systems. My expertise includes Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), incrementality measurement, A/B testing, geo experiments, brand lift studies, causal inference, and Bayesian methods. Experienced in developing Bayesian MMMs using PyMC-Marketing and Google Meridian, I help organizations understand the true drivers of business performance by quantifying channel contribution, adstock and saturation effects, ROI, and budget optimization opportunities. I translate complex analytical findings into practical recommendations that stakeholders can confidently act upon. I have worked extensively with data from Google Ads, Meta, TikTok, LinkedIn, CRM systems, call-tracking platforms, survey platforms, web analytics tools, customer databases, and cloud data warehouses. My technical background includes HubSpot, Datacor, BigQuery, GA4, Snowflake, and custom internal data sources, with a strong focus on data integration, validation, ETL processes, and scalable analytics workflows. Beyond analysis and modeling, I develop dashboards, visualizations, and decision-support applications using Streamlit, Looker, Plotly, and business intelligence platforms. I am passionate about making data accessible and useful, whether through executive dashboards, interactive analytics applications, or clear communication of complex statistical results. I also have extensive experience teaching, mentoring, and collaborating with technical and non-technical stakeholders. As a former university professor, I designed and taught graduate-level courses in statistics, econometrics, quantitative methods, and research design. Whether supporting business leaders, training analysts, or working with cross-functional teams, I focus on delivering solutions that combine analytical rigor with practical business impact. Whether the goal is building predictive models, improving reporting infrastructure, analyzing survey data, conducting statistical research, optimizing marketing investments, measuring incrementality, forecasting business outcomes, or developing advanced analytical solutions, I bring a rigorous quantitative approach and a proven track record of turning data into decisions.

99 stocks screened. 6 economies mapped. One client's manual reporting, gone overnight. I'm a Quantitative Data Analyst working in Python, R, and SQL. My background spans Mathematics, Data Science, and Industrial Engineering, three lenses most analysts pick one from. That combination means clients don't get a generic report. They get a model that actually explains what the data is doing and a decision they can act on. What I have delivered for clients: ✦ 99-stock portfolio analysis. Logistic regression, risk-adjusted, benchmarked against the Nasdaq. ✦ Black-Scholes options model integrated with decision tree analysis. Delivered on deadline. ✦ Macroeconomic analysis across 6 economies in R. Inflation, GDP, and unemployment mapped as heatmaps and time-series dashboards using Tableau. ✦ Power BI dashboard for an automotive client. 48-hour manual reporting lag, eliminated overnight. ✦ ARIMA-based forecasting model in Excel. Seasonal demand patterns detected, inventory recommendations delivered. ✦ Bank credit risk study replicated in R using panel regression and financial modeling techniques. ROA strongest predictor, R² of 0.91. What I work on: ✦ Statistical analysis and quantitative modeling ✦ Python and R for data analysis and automation ✦ Tableau and Power BI dashboards ✦ Excel models, pivot tables, and reporting automation ✦ SQL data extraction and structuring ✦ Data visualization, heatmaps, time-series, dashboards I don't just find what's broken. I use advanced mathematics and analytics to find WHY it's broken, then I build the system to fix it permanently. I work best with: ✦ Operations teams, ✦ Researchers ✦ Business owners ✦ E-commerce brand founders, ✦ Fintech managers who have data but aren't sure what it's telling them, and need one clean deliverable they can act on immediately. If your analysis is manual, your reporting takes too long, or your data sits in files nobody looks at, that's exactly where I come in. Send me a note about where your data or process is breaking down. I'll take it from there.

With a Ph.D. in Industrial/Organizational Psychology and a Master's in Applied Statistics and Data Analytics, I bridge data science and organizational strategy. I specialize in turning complex, multi-source data into clear, defensible insights that support decision-making across business, HR, research, and financial contexts. I've worked with performance, sales, engagement, and survey datasets to develop KPIs, surface patterns, build predictive models, and automate reporting pipelines that produce clean, branded outputs. I also do independent validation and methodological review, pressure-testing survey instruments, models, and AI-generated data to tell clients honestly where the work holds up and where it doesn't. My toolkit spans data cleaning, visualization, and predictive modeling in Python, R, SQL, and Excel, with deep experience in survey design, psychometrics, and text analytics. I can help you with: *Data Cleaning, Validation & Integration – Building reliable, analysis-ready datasets from multiple sources. *Validation & Methodological Review – Independent benchmarking, psychometric and content validation, and honest assessment of frameworks, assessments, and meausres. *KPI & Dashboard Development – Defining and visualizing performance metrics that align with strategy. *Survey Design & Workforce Analytics – Designing and analyzing surveys for employee experience, leadership, and DEI. *Predictive & Statistical Modeling – Regression, SEM, and machine learning for forecasting and insight. *Data Storytelling & Strategy – Turning analytics into narratives and recommendations for executives and teams. My goal is simple: to make analytics practical, reliable, and strategic, helping organizations turn data into smarter action.

Your statistical model is only as good as the math behind it. Most analysts run the model. I verify the math first. M.Phil Mathematics. Graph theory. Proof-based reasoning. That background is why 36 out of 37 clients gave me 5 stars. The one who didn't, disputed work I had already delivered and documented. I disagreed then. I still do. Last project: three data mismatches, one broken regression, caught in 30 minutes. Client thought the data was "almost ready." It wasn't. Who I actually help: ✦ Researchers who need statistical analysis they can defend in peer review ✦ Businesses that need predictive models, not templates, not defaults ✦ PhD students stuck on quantitative methodology at 2am ✦ Data teams that need work they can hand off and trust What I deliver: ✦ Statistical analysis: hypothesis testing, ANOVA, regression, Python or R, matched to your data ✦ Predictive modeling and forecasting: XGBoost, ARIMA, Random Forest, validated before delivery, not after ✦ Bayesian analysis: Hierarchical Bayes, LC MaxDiff, A/B testing with linearization ✦ Data cleaning: every transformation documented, nothing black-boxed ✦ Dashboards: Power BI, Excel, built for the person opening it every Monday, not the analyst ✦ SQL exploration: including Mode Analytics How I work: ✦ Data quality check before anything gets built, bad inputs break good models ✦ Right method for the problem, not whatever runs fastest ✦ Full validation, overfitting checked, assumptions verified, before you see the output ✦ Every decision documented, so the work is yours, not just mine ✦ Results in plain language, p-values alone don't make decisions Real projects: ✦ XGBoost diabetes prediction, feature engineering, cross-validation, full evaluation ✦ Hierarchical Bayes + LC MaxDiff, delivered and walked through live ✦ A/B testing with statistical linearization, 5 stars ✦ DDMRP supply chain dashboard, Power BI, operations team uses it every week ✦ Excel financial modeling: 50 hours, $1,250 delivered ✦ Soccer result prediction: custom Python pipeline, real noisy data ✦ Stochastic process: stationary distribution, math fully documented Tools: Python (NumPy, SciPy, XGBoost, Pandas) · R · SQL · SAS · Power BI · Tableau · Excel · ARIMA · Prophet My clients don't just say the work was correct. They say I flagged things they didn't ask me to check. Wrong data costs more than a good analyst. If yours needs to be right, message me.