Hire the Best R Developers & Programmers in California

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

Hello, My name is Ryan and I hold a M.S. in Data Science from Northwestern University. Throughout my career, I have worked to create data pipelines and analytics for multivariate time series, statistical modeling, along with advanced chemical engineering data analysis. My career in biotech has given me a diverse set of skills with an expert level in modeling and data analysis. I look forward to working with you.

I’m an accomplished Data Scientist and Programmer with a proven track record in both the public and private sectors. I’ve successfully led innovative, high-impact projects at industry giants like Apple and government institutions like the City and County of San Francisco, where my work has directly led to over $300 million in savings. My core skills include: • Programming Languages: Python, R, SQL, LaTeX, HTML, CSS • Data Analysis & Visualization: Power BI, Tableau, Superset, Excel, JMP, MiniTab, SPSS, MS Access • Project Management Tools: MS Project, Trello, Wrike, OmniPlan, OmniFocus With expertise in data analytics, automation, and business intelligence, I have a unique ability to turn complex data into actionable insights, driving tangible results. My approach is always rooted in efficiency and innovation, whether it’s building automated scripts that cut down manual work by 95% or developing dashboards that improve transparency and decision-making. I’m passionate about leveraging data to solve real-world challenges and optimizing business processes. If you’re looking for a reliable, results-oriented professional who can deliver data-driven solutions, I’d love to collaborate and help your business succeed.

I combine extensive statistical experience with a relaxed, collaborative interaction style. With over 15 years experience as a statistician, I am familiar with modern statistical methods, as well as methods popular in data science. I have experience at top universities, and in industry, so I know how to meet the needs of a variety of clients. I am a data cleaning and management expert. I am highly proficient at developing custom programming solutions in Stata’s scripting and matrix programming languages. I also have experience with Mplus, SAS, SPSS, R, and Python. My methodological specialties include: - Complex regression models - Generalized linear models (e.g. logistic regression, Poisson models) - Analysis of longitudinal/multilevel data - Structural equation models - Clustering methods (latent class analysis and cluster analysis) - Methods for analyzing data with missing values (e.g. multiple imputation, FIML) Because each project and collaboration is unique, my approach to working with clients is flexible. Some examples of the services I offer are: - Create custom code to automate routine data management and reporting - Provide advice on data collection and research design - Implement statistical analysis plans - Author reports for a variety of technical and non-technical audiences - Perform complex data management tasks - Implement methods not available in existing software - Meet with you regularly to answer questions that come up in the research process

I am an epidemiologist and biostatistician with over five years of applied experience conducting statistical analyses for clinical, public health, and health services research. I currently work full-time as a biostatistician at UCLA Health, supporting physician-led and investigator-initiated studies across multiple medical specialties. My training includes an MPH, an MS in Data Analytics, and formal graduate-level coursework in biostatistics and epidemiologic methods. I specialize in the design, analysis, and interpretation of observational and clinical data, with particular strength in causal inference, regression modeling, and large-scale healthcare datasets. I have extensive experience working with electronic health records and claims data (including longitudinal, high-dimensional datasets), and I routinely translate complex statistical results into clear, decision-relevant outputs for clinicians and research teams. Technical expertise includes: - Statistical modeling: logistic, linear, Cox and competing risks models, mixed-effects models, generalized estimating equations - Causal and quasi-experimental methods: propensity scores (matching/weighting), difference-in-differences, instrumental variables, regression discontinuity - Study design and power/sample size calculations - Machine learning for prediction (with an emphasis on interpretability) - Reproducible analysis pipelines and reporting Tools: SAS (Base and Advanced 9.4 certified), R, Python, SQL I frequently support projects end-to-end, including analytic plan development, data cleaning and cohort construction, model implementation, results interpretation, and preparation of tables and figures for manuscripts, grant applications, and regulatory or internal reports. I am also available for targeted statistical consulting, code review, and methodological troubleshooting. I am particularly well-suited for clients who need rigorous, publication-quality biostatistical support and clear communication—not black-box analyses. If you are working with health, clinical, or epidemiologic data and need a statistician who understands both methodology and applied constraints, I can help.

With 15 years of experience applying statistics and research methods, I empower organizations with data-driven insights. My expertise spans education, medicine, public health, market research, and scale development for clients ranging from small research firms to government agencies. 🔹 Proficiencies • Statistical analysis • Machine learning • AI applications • Psychometric analysis • Systematic reviews • Meta-analysis • Simulations • Power analysis • R package development 🔹 Career Highlights • Developed fourteen peer-reviewed R packages published on CRAN • Served as Software Manager for Juvo, a behavioral health services company • Lead Reviewer for Abt Associates’ National Evaluation of Investing in Innovation • Co-authored peer-reviewed research reports 🔹 Additional Research Services • Drafting protocols, grants, and reports • Building data collection tools and dashboards • Conducting What Works Clearinghouse reviews I provide tailored solutions to meet your specific data analysis and research needs. Please reach out if you need an experienced statistician and researcher on your team. I look forward to collaborating with you!