🏆 TOP RATED ON UPWORK |⭐ 5-Star Ratings | Data Analytics and Predictive Modeling|💎MASTER/PHD THESIS Help |✅Statistics, Meta-analysis✅ R, SPSS ✅Data Science, Machine Learning Models | ✅R Master, Large Survey Data and Regression Analysis |🏆PhD and seven years of experience. ABOUT ME: 🏆 TOP RATED status (TOP 10% TIER on UPWORK) 💎Provide effective help for MASTER/PHD THESIS 🏆More than 30 published research manuscripts in ISI-indexed journals. 💎Seven years of experience in research designs, biostatistics, data analysis, and clinical Research With proven tracked records of success in Upwork (Top Rated), overwhelmingly positive feedback with 5* ratings, a PhD, and experience, I can definitely help you bring out the highest quality, great results for your research and achieve your business goals. Current Roles: - Associate professor at the University of Hertfordshire - GAF - Lead biostatistician at the HIV Clinic, Cairo University. - Associate editor for BMC trials Key areas of expertise: • Statistical analysis using IBM SPSS, STATA, R Studio, Excel, and JASP. • Statistical modelling : Skilled in utilizing advanced statistical techniques such as linear mixed effects models, bootstrapping, and time-series analysis for complex data interpretation. • Survey Psychometrics: Proficient in analyzing psychometric instruments to ensure reliability and validity in survey research. • Predictive Modeling and Meta-Analysis: Advanced experience in predictive modeling and conducting meta-analyses to support research and clinical decision-making.

I graduated in economics in 2016. Next year I began studying for my master's degree application exam. My objective was to learn statistics and finance. So I was accepted and started my master's degree in 2018. Unfortunately, the institution I picked did not have a focus on statistics and finance. During my last semester, my frustration and problems with my advisor left me somewhat unmotived to finish my dissertation. So I went my master's degree. Since my graduation days, I have studied coding. I always thought that having the ability to gather, process, and analyze large amounts of data would be valuable in today's world. My first coding experience was with MATLAB and C/C#. MATLAB, my brother used to work with it, and I used to fiddle around to learn how to code ( did nothing special ). C/C#, I did a two-week tutorial I found online. Although I never used these two program languages later, they helped teach me some concepts in programming. While in my graduation, I started using the program languages R and Python. R I used due to its extensive statistical packages support, and the second to its more general usability. During My master's degree, I found myself doing some paid R coding. Usually, it was simple data inference, like running some simple code to find the best linear regression model with variable permutation. Furthermore, I did have some coding experience with Python in helping some research groups in reading SQL databases and scraping online data. After I exited my master's degree, early 2020, I did freelance coding data analysis ( ex.: Inflation prediction models ), machine learning ( ex.: House prediction models in Rio de Janeiro ), and data scraping. I have a Github page with examples github.com/marcoaurelioguerrap ( Although still in Portuguese, my native language. ). If you need statistical models for prediction, inference, or data to be scraped, or organized I might be helpful. Other knowledge I have are Risk Management ( VaR, ES calculations ), stock and options market backtesting, options price models ( BS, Monte Carlo, and SABR ), test for forecast Bias, regressions ( OLS, Logit, probit, Tobit, panel data, time series, GMM, ARIMA, GARCH ). less

I have 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. ⤷ 5+ years of experience ⤷ Top-rated Data Analyst on Upwork ⤷ 50+ 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, and publication-ready results. For researchers and students working on dissertations, I support the entire process, starting from research design and data preparation, moving through model selection and statistical analysis, and finishing with results interpretation written in language your committee will actually accept. Whether your study calls for regression analysis, hypothesis testing, or a more advanced econometric approach, I make sure every methodological decision is justified and clearly explained. For economists, policy researchers, and development teams, I bring rigorous econometrics to problems that demand more than basic statistical analysis. Program evaluation, causal inference, and policy impact work require models that hold up under scrutiny. I build those models using OLS, instrumental variables, difference-in-differences, panel data methods with fixed and random effects, and time series approaches including ARIMA, VAR, and cointegration testing. The econometrics I apply is always matched to your specific research question, not applied as a default. For healthcare professionals and clinical researchers, I translate complex health data into statistical analysis that meets publication standards. Survival analysis, Cox regression, Kaplan-Meier estimation, longitudinal data analysis, and multilevel modeling are tools I use regularly on clinical and public health datasets. I understand the standards peer reviewers apply, and I build the statistical analysis with those expectations in mind from day one. For businesses and financial teams, I provide data analysis that connects numbers to decisions. Predictive modeling, financial forecasting, and regression analysis help you understand what is driving your outcomes and where things are likely to go. I go beyond surface-level reporting and deliver statistical analysis that your leadership can actually act on. Every engagement is delivered with fully reproducible and well-documented code in R, Stata, Python, or SPSS. That means your results can be verified, your methodology can be defended, and your analysis can be built upon as your project evolves. Have a dataset, a deadline, or a research question you are not sure how to approach? Message me now. I respond within a few hours; I will tell you honestly whether I can help, and if I can, I will tell you exactly how. No vague proposals, no wasted time, just a clear plan for getting your data analysis done right.

Do you need accurate, actionable insights from your survey, research, or business data to make informed decisions through powerful statistical and data science analysis? Look no further! I am a top-rated and full-time research data analyst with >8 years of experience in IBM SPSS, R, Python, SAS, STATA, NVIVO, JMP, JASP, Atlas.ti, Excel/Google Sheets. As a statistics wiz, survey expert, and data science practitioner, my areas of expertise include: ⭐️ Questionnaire/survey design & validation ⭐️ Survey & research data analysis: descriptive, inferential (Chi-Square, regression, correlation, t-test, ANOVA, etc.), predictive modeling ⭐️ Detailed interpretation & storytelling of results ⭐️ Report writing, academic formatting (APA, Harvard), and publication-ready outputs ⭐️ Advanced automation & scripting for reproducible workflows I provide a variety of services including but not limited to: ★ Sample size calculations ★ Correlation, regression, & multivariate analysis ★ Hypothesis testing & statistical modeling ★ Factor analysis (EFA/CFA), structural equation modeling ★ Predictive analytics & data visualization ▶︎ and much more My specializations: Health Research & Predictive Analysis Master's/Ph.D. Thesis & Dissertation Modeling Company Survey & Performance Analytics Social, Economic & Behavioral Data Science Projects What clients say 👉👉👉 ☆☆☆☆☆ "She is always of great help, and the turnaround time is on point. I can depend on her for assistance and explaining the work thoroughly." "Great work. Amazing communication and delivered the project on time." "Esther's results were clear, organized, and thoroughly explained. Excellent work! I'm so impressed! I appreciate her efforts and insight to the analysis of the project!" ☆☆☆☆ ✍️ Feel free to get in touch, and we can discuss your project further

Proactive data scientist with a strong background in programming and economic analysis. Skilled in analytical problem-solving and experienced programming in Google Apps Script, R, Python, and SQL. I have the experience to lead and work in a team. Reliable, detail-oriented, and committed to delivering high-quality work Integrations: ~ Google Sheets - HTML ~ Google Sheets - Woocommerce (API) ~ Google Workspace - GSheets - GDocs - GForms - GMail - GSpaces/GChat ~ R - Google Sheets - Jotform (API)

I help researchers, institutions, and organizations plan, design, and complete Quantitative Research projects with reliable survey systems, clean datasets, and defensible statistical results. Are you working on a Quantitative Research study, thesis, dissertation, market research project, behavioural study, or paper? I can help you move from research questions to structured survey design, data collection, SPSS analysis, and clear interpretation. As a Quantitative Research Consultant, I provide end-to-end support from study design and survey systems development to data cleaning, statistical analysis, and reporting. My approach ensures your Quantitative Research project is methodologically sound, statistically valid, and aligned with your research objectives. I specialize in Quantitative Research workflows involving Qualtrics, SurveyMonkey, Jotform, Typeform, SPSS, SmartPLS, R, Python, Excel, and Google Sheets. Whether your Quantitative Research project requires survey programming, hypothesis testing, regression, ANOVA, factor analysis, mediation, moderation, or psychometric validation, I help you produce accurate and publication-ready results. ✅ Core Expertise Quantitative Research Design and Consultation Quantitative Research Survey Systems and Data Collection Survey Design and Survey Programming Qualtrics, SurveyMonkey, Jotform, and Typeform Setup SPSS Analysis and Statistical Modeling Data Cleaning, Structuring, and Interpretation Psychometrics, Scale Development, and Validation Hypothesis Testing, RCT Analysis, Regression, ANOVA, and Factor Analysis ✅ What I Deliver Quantitative Research survey instruments aligned with study goals Clean and structured datasets ready for Quantitative Research analysis Accurate statistical analysis with clear interpretation Publication-ready Quantitative Research results, tables, and reports Methodologically sound research consulting support ✅ Tools & Platforms Survey Platforms: Qualtrics, SurveyMonkey, Jotform, Typeform Statistical Tools: IBM SPSS, AMOS, SmartPLS, R Data Tools: Excel, Google Sheets Technical Support: Python for data processing and workflows ✅ Why Clients Trust Me Strong experience across Quantitative Research, survey systems, and SPSS analysis Consultant-level approach to Quantitative Research design and data strategy Strong foundation in psychology, behavioral research, and statistics Clear communication, structured workflow, and reliable delivery Focus on accurate, defensible, and meaningful insights ✅ Let’s Collaborate If you need support with Quantitative Research, survey analysis, SPSS, data analysis, or data interpretation, I can help you transform complex data into clear, accurate, and publication-ready insights. From research design to statistical analysis and reporting, I will ensure your results are professionally analysed, clearly presented, and aligned with your research objectives. Let’s turn your data into meaningful insights and impactful results.

📈 Transforming Data into Strategic Business Outcomes As a PhD Candidate in Operational Research and Data Science, I specialize in turning complex data into actionable insights. With deep expertise in machine learning, data analytics, and business optimization, I design solutions that enhance revenue, reduce costs, and improve operational workflows . ⭐ Services Offered: • Predictive Modeling & Analytics: Design custom machine learning models to forecast customer behavior, market trends, and operational risks. • Data-Driven Strategy Development: Leverage advanced analytics to identify opportunities for revenue growth and cost reduction. • Optimization Solutions: Implement strategies for inventory management, logistics, and resource allocation. • Custom Data Visualization: Create interactive visualizations to convey complex insights clearly and effectively. 🛠️ Core Skills & Tools: • Programming Languages: Python, R, C++, JavaScript, SQL, MATLAB, LaTex • Machine Learning: Supervised Learning, Unsupervised Learning, Deep Learning, Neural Networks, Support Vector Machines (SVM), Decision Trees, Random Forests, Gradient Boosting Machines (GBM), K-Nearest Neighbors (KNN), Principal Component Analysis (PCA). • Data Science: Exploratory Data Analysis (EDA), Data Wrangling, Data Preprocessing, Dimensionality Reduction, Feature Selection, Data Cleaning, Hypothesis Testing, A/B Testing, Ensemble Methods, Clustering, Association Rules, Natural Language Processing (NLP), Big Data. • Time Series Analysis: ARIMA Modeling, Seasonal Decomposition, Exponential Smoothing, State Space Models, Cointegration, Vector Autoregression (VAR), Autoregressive Moving Average (ARMA), Unit Root Testing, Granger Causality, Kalman Filter, Forecasting Accuracy, High-Frequency Data Analysis, Long Memory Processes, Frequency Domain Analysis • Platforms: PostgreSQL, Jupyter Notebooks, DataBricks, CPLEX, Hexaly, Power BI, Microsoft Office, Advanced Computing Servers 💼 Notable Projects: • Developed machine learning models for warehouse demand analysis, predicting trends with high accuracy. • Delivered interactive data visualizations using D3.js to showcase data insights for business platforms. • Optimized warehouse operations by implementing robust algorithms, reducing order preparation times, and enhancing throughput. 🎯 Why Choose Me? • Impact-Oriented: Proven track record of creating value through data science solutions. • Clear Communication: Complex ideas translated into actionable business strategies. • Adaptability: Tailored solutions that align with your unique business goals. Let’s collaborate to harness the power of your data!

Proven Data Analyst & AI/ML Consultant (4+ Years Exp. | 56+ Projects | 300+ Hrs). I specialize in applying advanced analytical techniques (LSTM, XGBoost) and financial theory (M.S. Economics) to generate quantifiable business outcomes. Delivered high-impact studies enabling clients to collect multi-million dollar fees, and I create automated Power BI/R Shiny dashboards. Focus: Actionable Insights. 💡 Core Expertise: Applied AI & Advanced Analytics My strength is moving beyond standard reports to deploy functional, measurable solutions. Financial & Causal Analysis: Expertise in Causal Analysis for investment strategies and Financial Forecasting using models like LSTM and XGBoost. Generative AI Development: Built and deployed full-stack Generative AI applications using Python Flask/Next.js and Groq LLM API (e.g., the Outdoor GenAI platform). Production ML Modeling: Developed and optimized production-ready models, including Logistic Regression and XGBoost, with performance tuning via GridSearchCV. 📊 Business Intelligence & Reporting (Power BI / R) Transforming raw data into clear, interactive visuals that empower strategic decisions. High-Impact Dashboards: Design and deploy professional BI tools (Power BI, Plotly) including Sales Dashboards with MySQL integration. Strategic Reporting: As a Data Analyst, I deliver comprehensive studies (Demographic, Enrollment Projection, Transportation) that inform critical infrastructure and financial planning. R Shiny Applications: Custom development of interactive R Shiny apps for complex data visualization and specialized statistical simulations. 🚀 Technical Skills & MLOps Comprehensive skills covering the entire data lifecycle, from cleaning to deployment. Primary Languages: Python, R, SQL. Database & Deployment: Proficient in MySQL, model deployment via Streamlit, and version control with Git/GitHub. Niche Analytics: Strong background in statistical consulting, Google Earth Engine (GEE) for geospatial analysis, and Excel VBA Macros. ⭐ Why Partner With Me Quantifiable Results: As a Data Analyst at Total School Solutions, I delivered Developer Fee Justification Studies and Enrollment Projection Studies that enabled clients to collect significant, multi-million dollar fees. Proven Success: 56 completed projects and 300+ hours on Upwork demonstrate commitment and proven client satisfaction. Academic Foundation: Master's degree in Economics providing a unique quantitative perspective on business challenges. Ready to discuss your project? I provide consultation, development, and deployment for data-driven results.

Do you need help analysing public health or research data and presenting the results clearly? I work in public health research, biostatistics, and epidemiology, and I have over 3 years of experience working with research and health related data. I support researchers, NGOs, and students by helping them analyse data correctly and explain the results in a clear and simple way. I work with tools such as R, Stata, SPSS, ATLAS.ti, SAS, EViews, Excel, Tableau, and REDCap, depending on the needs of the project and the type of data involved. Here is what I can help you with: ✅ Data cleaning and data preparation ✅ Biostatistics and epidemiological analysis ✅ Public health and medical research analysis ✅ Survey data analysis ✅ Clinical trials data analysis ✅ Survival analysis, including Kaplan Meier curves and Cox regression ✅ Systematic reviews and meta analysis ✅ Tables, figures, and clear result summaries I communicate clearly, ask the right questions, and keep the process simple and organised. If you already have data, I can start right away. If you are still unsure about the analysis, I can help you think it through step by step. I will be happy to discuss your project and see how I can help.

I provide rigorous statistical architecture and methodological expertise, bridging the gap between academic rigor and applied data science. With over 16 years of experience, 70+ peer-reviewed publications (13,000+ citations), and a background as a Stanford Medical School and Palo Alto VA Postdoc, I serve as a lead statistician and program evaluator. Over the course of my career, I have architected high-level statistical modeling for the US Veterans Health Administration (VHA), the Naval Health Research Center, university research labs, and private corporations. I do not just run basic correlations—I build complex (longitudinal) models that isolate the true, statistically significant signal in your data, ensuring your findings are mathematically transparent and completely defensible. WHO I PARTNER WITH: ➤ Principal Investigators & Academic Institutions: You are leading research that requires flawless methodology. As the author of widely used R packages (compute.es, MAd), I serve as a Methodological co-author and/or lead statistician, handling the complex statistical architecture to ensure your analyses meet the highest standards of peer review. ➤ Biotech, Pharma & Healthcare Organizations: You need to translate raw data into robust Real-World Evidence (RWE) or evaluate program efficacy. I handle data discovery, complex modeling, and build custom, fully automated R/Quarto pipelines that ingest large datasets and auto-generate reproducible, high-quality reports. ➤ Health-Tech & Startups: You have longitudinal user data but lack the scientific infrastructure to understand your intervention's true impact. I engineer the underlying algorithms (mixed-effects models, N-of-1 experimental tracking), and build interactive web dashboards that visualize outcomes instantly. ➤ AI & Data-Driven Startups: You have massive amounts of unstructured qualitative data (user feedback, session transcripts) and need it converted into rigorous, statistically valid metrics. I act as an LLM Integration Architect, writing automated scripts that pass unstructured text through AI APIs to extract thematic schemas with psychometric-level reliability, turning messy data into clean, actionable databases. THE DIFFERENTIATOR: ✔ Scientific Authority: I am a widely published researcher who translates complex stats into clear, strategic directives that executives, grant committees, and scientific reviewers trust. ✔ End-to-End Implementation: I build complete data pipelines—from initial data acquisition and modeling strategy, all the way to automated reports, deployed dashboards, white papers, or peer-reviewed publications. ✔ Mathematical Transparency: Absolutely no "black-box" modeling. I rely purely on deterministic, peer-reviewed statistical architecture. ✔ 100% Top-Rated Success: A proven track record of delivering rigorous, high-level statistical modeling across academia, government, and the private sector. SELECT TESTIMONIALS: ⭐⭐⭐⭐⭐ "Aaron is the best statistician I ever collaborated with in my 20-year research career" -Grace W. | PhD & Assistant Professor ⭐⭐⭐⭐⭐ "Aaron is one of the most skillful statistical consultants that I know and has consulted with our labs for several years" -Christoph F. | PhD & Full Professor TECHNICAL CORE: • Methodology: Predictive modeling, Longitudinal Mixed-Effects Models (LMM), Meta-Analysis, N-of-1 Single-Case Experimental Analytics, Epidemiological Research, Propensity Score Matching, Factor Analysis, Power Simulations. • Infrastructure & Delivery: R, Python, Quarto, Shiny, SAS, SQL, Interactive Dashboards, Power BI / Tableau, LLM API Integration (Claude/OpenAI). • AI & Psychometrics: Automated Qualitative Data Engineering, LLM Thematic Binning, Exploratory/Confirmatory Factor Analysis, Construct Validation. • Statistical Packages: Tidyverse, lme4, metafor, compute.es, MAd. Are you ready to turn your raw data into defensible scientific assets? Please click "Invite to Job" to discuss your project.