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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

Bryce is an independent contractor providing a wide range of analytical and technical support for clients in multiple industries and sizes. He is a credentialed actuary (ASA) with a master's degree in applied data science and over 12 years of experience. Bryce has real-world experience with productivity software (Excel, VBA), scripting (R, Python, Git), web apps (R Shiny, Streamlit, Next.js, React, PHP, HTML, JS, CSS), document automation (RMarkdown, Quarto), cloud and CRM (Google Cloud Platform, Docker, Salesforce.com), data science (sci-kit learn, PyTorch, Inference/Regression/Classification, Clustering, NLP), and databases (SQL, Mongo). In his workflow, Bryce combines AI, comprehensive experience, and creativity to provide technical products in shorter timeframes, with lots of features, and at high quality. Whatever you need, Bryce can meet you where you're at and help you build something special. Please don't hesitate to reach out!

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.

As a professional with a unique background in both veterinary medicine and public health, I bring a comprehensive understanding of health-related data and its application to real-world challenges. My expertise spans across data analysis, research, and problem-solving, allowing me to support projects in various fields, such as healthcare, public policy, epidemiology, and beyond. With a strong command of R, R Shiny, Power BI, and Looker, I specialize in data processing, data visualization, and creating customized dashboards that empower stakeholders to make informed, evidence-based decisions. I have experience transforming complex datasets into actionable insights through clear visualizations and interactive tools that enhance understanding and drive data-driven strategies. I offer a blend of scientific rigor and technical proficiency. Whether you're looking for data analysis, report creation, survey design, or a custom dashboard, I can provide the tailored support you need to bring your project to life.

Are you in search of a skilled and detail-oriented statistician and data analyst who has the right domain knowledge to extract accurate insights from your research, survey, electronic health records, randomized controlled trials, development programming, and business data? If yes, you have come to the right profile. I am a data analyst with over ten years of experience in working with various tools such as Excel, Stata, R, Python, SAS, and Power BI. I am not only interested in working with data but also enthusiastic about the stories and insights that it can reveal, particularly if such findings can contribute to business and policy decisions. While a typical analyst may view data in terms of numbers and values, I will collaborate with you to identify the relevant econometric models based on the domain knowledge to analyze your dataset accurately and provide valuable insights. I possess subject matter expertise in education, engineering, sales, healthcare, gender, and international development. Therefore, you will be hiring someone who can personalize your project through a deep understanding of your dataset. I possess expertise in multiple areas, including: → Designing and analyzing surveys using techniques such as stratification, clustering, weighting factors, design effects, etc. → Designing and analyzing randomized controlled trials → Conducting descriptive, predictive, and inferential statistical analysis → Cleaning and mining data using Stata, R, Python, and SAS → Performing regressions such as OLS, polynomial, logit, probit, ordinal, multinomial, Heckman, etc. → Using regularization regressions such as ridge and lasso → Applying count models regression techniques such as Poisson, negative binomial, zero-inflated, etc. → Using instrumental variable regression, panel data regression, and time series analysis → Conducting principal component and factor analysis → Performing survival analysis using techniques such as censoring, survivor function, Cox regression, Kaplan-Meier curves, and hazard function → Interpreting results in detail and writing reports on findings. Let me know if you have any further questions or if you need any assistance with any of these areas. Get in touch with me at let’s bring your project to life in the shortest possible time.

Experienced business consultant with over a decade of helping small companies grow. I have 5 yrs + working with teams on data analysis/ML problems. Excellent analytical background paired with a deep business understanding to create solutions to problems instead of just using the latest tools for the sake of using them.