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I help research, healthcare, education, and behavioral science teams turn complex data into clear findings, publication-ready reports, dashboards, and AI-enabled tools. I bring a rare mix of PhD-level statistical training and hands-on AI/data engineering. My background includes 200+ Upwork jobs, Top Rated status, published academic research, graduate-level statistics teaching, grant evaluation work, and current work as a Lead Data Science & Analytics Architect for a VA-facing behavioral health chatbot. I can help with: - Statistical analysis in R, Python, SPSS, JASP, or Stata - APA-style results sections, tables, figures, reports, and presentations - Regression, GLM, multilevel models, SEM/factor analysis, mediation, power analysis, meta-analysis, and ML models - Survey data cleaning, coding, visualization, and interpretation - Dashboards in Power BI, Tableau, R Shiny, or Microsoft Fabric - AI agents, RAG/GraphRAG workflows, NLP, Azure AI, and Microsoft Copilot Studio solutions My clients usually come to me when they need more than a quick chart. They need analysis that is technically sound, clearly explained, and ready for stakeholders, reviewers, funders, or product teams. Send me your research question, dataset, analysis plan, or AI/data product idea, and I'll help clarify the best next step.

Biostatistician of 3 years with 13 years of collective data analysis experience and proven track record of delivering data-centered narratives (15 published articles) in diverse disciplines from -omics to healthcare research. My go-to tool is R/R-studio, I favor Bayesian methods, and I take pride in delivering expert-level services. Expert-level services: * Data management, analysis, and visualization * Review and editing academic writing (protocols, posters, abstracts, manuscripts, dissertation) * Study design consultation (power analyses, Bayesian operating characteristics) * 1:1 mentorship and training on R coding, research methods, project management, data management Skills: R/R-studio, Data analysis, Project management, Database development (REDCap expert), Dashboards (PowerBI) , Data wrangling, Bayesian methods, Monte Carlo Simulations, Causal Inference (propensity scores, standardization, difference-in-difference-DiD, synthetic controls) Credentials: * Practicing biostatistician that leads clinical trials, observation, and quality improvement studies in the area of oncology at a cancer institute * PhD in quantitative biology * 16 peer-reviewed publications in the areas of surgical oncology, medical oncology, quantitative genetics, evolutionary physiology, genomics, gene expression, and study design.

Hi, I’m Dr. Soleyman Paydar — a Statistician & Data Analyst with 17+ years of experience. I specialize in performing high-quality statistical analyses for academic, medical, and business research, and I have extensive experience preparing complete data analysis chapters for Master’s and PhD dissertations. My services include: • Comprehensive data analysis using SPSS, AMOS, and SmartPLS • Clear interpretation of quantitative results • Full APA-formatted reporting, including tables, figures, citations, and narrative explanations ready to insert into your thesis or manuscript • Guidance on methodology, research design, and statistical justification • Free initial consultation to discuss your research needs and determine the best statistical approach With a strong background in advanced statistical modeling, SEM, PLS-SEM, multivariate analysis, and non-parametric methods, I ensure your results are accurate, defensible, and aligned with academic standards. I’m committed to delivering professional, timely, and high-quality work. Feel free to reach out—I look forward to supporting your research success. Very Respectfully, Dr. Soleyman Paydar

I am a Statistical Consultant and MS Statistics student at UC Davis. I also received a B.S. in Applied Mathematics/Economics and a Minor in Business Analytics from the University of California, Riverside. 🏆 Elite Credibility: My coauthored research has been selected for presentation at premier national conferences, including: 1️⃣ 2025 Association for Public Policy Analysis & Management (APPAM), Seattle, Washington 2️⃣ 2025 Population Association of America (PAA), Washington, D.C. 📈 Specialized Statistical Services: I leverage R, Stata, and Python to solve complex causal and predictive problems: ✅ Descriptive Regression Analysis: Linear/nonlinear regression, probability modeling (LPM, logistic), ANOVA (One-Way, Two-way, Random / Fixed / Mixed Effects) ✅ Causal Inference: Difference-in-Differences (DiD), Instrumental Variables (IV), and Panel Data (Random / Fixed / Mixed Effects) ✅ Predictive Modeling: Machine Learning (Gradient Boosted Trees, Random Forest, KNN) ✅ Survey Methodology: Expert population weighting, clustering, and post-stratification ✅ Statistical Tests: A/B tests, T-tests, Chi-squared Tests, Hausman test, etc. Some Projects: 1️⃣ Github Website (with an interactive dashboard using PostgresSQL and Python, portfolio, and other webpages on reproducible research) 2️⃣ Regression Analysis of Airbnb prices in Mexico 3️⃣ Regression Analysis of H-1B sponsor rates by industry type and location In a year-long data analytics intern position, I: 1️⃣ Created and implemented a database into our center's initiative on analyzing academic technology usage. 2️⃣ Reached out to technology vendors of the university, requesting data extracts and communicating with them on the interpretation of data. 3️⃣ Streamlined data collection, and organized all data into a database that is still used at the center. 4️⃣ I cleaned and prepared several spreadsheets with hundreds of thousands of rows within Google Sheets, and provided key metrics through dashboards and reports in Google Looker Studio. 5️⃣ I connected this data and made it accessible through Slack. I reported on my progress through Slack, Asana, and Zoom meetings (disseminating findings through bi-weekly meetings). 6️⃣ I implemented data governance policies and facilitated meetings on data governance. 7️⃣ I wrote, recorded, and hosted trainings for my colleagues in Looker Studio. 8️⃣ Providing data-driven insights through story-telling. 🛠 Technical Toolkit: Languages: R, Python , SQL (PostgreSQL), Stata. Visualization: Plotly, ggplot, Looker Studio

Leadership: Have led a team of statisticians in supporting statistical activities in 2 therapeutic area portfolios and programmers supporting regulatory reporting for over 100 clinical trials Technical: Strong experience in providing lead statistical support for regulatory activities such as FDA Panel meetings, in-person FDA meetings, PMA submissions, FDA study design conference calls, FDA deficiency responses and regulatory report submissions Programming: SAS (10+ years) and experience using R

Skills -Data management and Statistical Analysis -Academic, Scientific, and Grant Writing -Software and language Proficiencies- R, C# ,SPSS, SQL, Excel, Unity I am a Ph.D. Research Psychologist with a focus in advanced quantitative and experimental methods. I also completed a post-baccalaureate certificate in applied statistics. I have experience with advances statistical methods including ANOVA, regression, structured equation modelling, multi-level modelling, meta-analyses, as well as more basic analysis and visualization. I also have extensive experience working in advanced data management and automating data transformation and cleaning in health and research settings. I have provided data analysis consultation services and support for research in a variety of disciplines including nursing, marine science, public admisntration, archeology, fine arts, and biostatistics I have extensive skill and experience in R, SPSS, SQL, and excel. I am also familiar with work flow management tools like GitHub, Jupyrter notebooks, and Google CoLab. I am proficient in scientific wring and have several peer re-viewed publications. I have successfully submitted Grants to different funding agencies including the National Institute of Health.