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

A Data Analyst & Statistician with 5+ years of developing univariate and multivariate models to analyse industrial and healthcare data, applying machine learning, data science, and quality control techniques to high-dimensional big data. Proficient in using R, Python, SPSS, Microsoft Excel and Powerpoint,.... Expert academic researcher with more than 20 publications in reputable journals and over 500 citations. I am experienced in - analysing data for statistical related research - analysing data for undergraduate, postgraduate, or advanced PhD (or professor) level projects - using R, SPSS, Excel, and other statistical software - applying/developing machine learning methods - writing and performing academic research. Regular communication is really important to me, so let’s keep in touch!”

🏆 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!

🏆 EXPERT-VETTED TOP 1% ON UPWORK |⭐ 5-Star Ratings | Data Analytics and Predictive Modeling|💎MASTER/PHD THESIS Help |✅Statistics, Panel Data, Time series Econometrics |✅ 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 | 🏆PhD and 20 years of experience. ABOUT ME: 🏆 EXPERT-VETTED and TOP RATED PLUS status (TOP 1% on UPWORK) 🥇20 years of working experience with large corporations and institutions (Amazon, the World Bank, International Financial Corporation, University of Pennsylvania) 🎓PhD/Professor in Econometrics/Statistics/Data Science 💎Provide effective help for MASTER/PHD THESIS With proven tracked records of success in Upwork (Expert Vetted Top 1% and Top Rated Plus), overwhelmingly positive feedback with 5* ratings, my PhD and 20 years of experience, I can definitely help you bring out the highest quality, great results for your project and achieve your business goals. I have over 20 years of experience in empirical research, statistical analysis, econometric modeling, data science, machine learning models, data analysis (panel data analysis and time series analysis, complex survey design and analysis), data visualization, storytelling, and project management. I enjoy creating dashboards of data analytics to provide data insights, data trend, meaningful graphs, statistical analysis, story-telling summary that serves as key benchmark to influence business decision. Moreover, I also provide robust statistical evidence, regression/correlation analysis, machine learning predictive models to provide supportive and significant results for business projects. I also help clients understand different statistical techniques, regression techniques, learn excellent statistical language including STATA, SAS, R, and Python to make your life easier. My previous projects on machine learning and econometric modeling include the followings but not limited to: - Data Analysis, Large Survey Data Analytics and Data Visualization. - Linear regression with panel data and time series data. - Forecasting model for time series analysis - Financial modeling such as stock returns, cryptocurrency price prediction, financial indices and financial performance prediction. - Machine Learning models: Random forest, decision trees, KNN, neural network,... - Logistic models, multinomial logit models, ordered logit models. - Economics research, market research, house price, mortgage default prediction, - Program evaluation using different methods such as difference in difference, propensity score matching, instrument variables, fixed effects, regression discontinuity design. I am happy to share my knowledge on machine learning modeling as well as quantitative and analytical skills to help you succeed in your project. In addition, with my experience in participating and presenting in thousands of academic and industry conferences, supervising and guiding hundreds of college and graduate students in their thesis/dissertation, I am very confident that I can help you make a difference in your project and bring out the highest quality and great results for your Master or PhD's thesis/dissertation project. I can also provide statistical advice and statistical analysis including: - Descriptive Statistics. - Bi-variate analyses such as t-tests, correlations, chi-square tests and non-parametric tests for normal and non-normal data. - Multivariate analyses such as ANOVA, MANOVA, LDA, PCA and factoring analysis, regression analysis (see econometric models above). - Review and interpret statistical output, set up the appropriate hypothesis testing and write up conclusion and policy recommendation. - Tutoring Statistics, Math and Econometric courses: including both introduction and advanced courses. I have experience with different types of data including: - Survey data (household, market research, firm/business/country data, house price, loan performance, accounting, finance, health, labor and income, etc.) - Panel data - Time series data I help clients put together and analyze different types of survey data, panel and time series data, getting the data insights, build data trend and data stories with meaningful graphs and great visualization. With proven tracked records of success in Upwork (Expert Vetted Top 1% and Top rated), overwhelmingly positive feedback with 5* ratings, my PhD and 20 years of experience, I can definitely help you bring out the highest quality, great results for your project and achieve your business goals. Looking forward to working with you soon, Dr. Victoria

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