Hire the Best Stata Specialists

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

🏆 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

Ph.D. Scholar in Econometrics with strong expertise in econometric theory, advanced statistical modeling, and quantitative research in economics, Finance, and Business. Experienced in applying econometric techniques, causal inference methods, forecasting models, and data-driven analytics to address complex economic and business challenges. I help researchers, businesses, and policymakers turn complex data into actionable insights through advanced econometric modeling, statistical analysis, and quantitative research. My work goes beyond data analysis—I focus on selecting appropriate methodologies, validating assumptions, ensuring analytical rigor, and delivering reliable results for academic research, policy analysis, business intelligence, and strategic decision-making. I provide reproducible analyses, clear interpretations, and publication-ready reports that meet professional and academic standards. Most research and business challenges are not solved by applying more statistical tests—they are solved by asking the right research questions and selecting the right analytical framework. That's where I add value. As a Ph.D. Scholar in Econometrics and university lecturer, I help researchers, businesses, development organizations, and policymakers transform complex data into actionable insights through rigorous econometric analysis, statistical modeling, and evidence-based research. ⤷ Ph.D. Scholar in Econometrics ⤷ University Lecturer & Researcher ⤷ Extensive Experience in Economic, Business & Policy Research ⤷ Advanced Expertise in STATA, R, SPSS, Python, Tableau & Power BI ⤷ Strong Background in Quantitative Research & Data-Driven Decision Making 𝗪𝗵𝗮𝘁 𝗜 𝗱𝗼: → Econometric Modeling & Quantitative Research → Economic, Business & Policy Analysis → Spatial Econometric Data Analysis → Statistical Analysis & Data Modeling → R Programming, STATA, SPSS & Python Analytics → Regression Analysis (OLS, Logistic, Probit, Tobit, IV & GMM) → Panel Data Analysis (Fixed Effects, Random Effects & Dynamic Models) → Time Series Analysis, Forecasting & ARIMA Models → Causal Inference & Impact Evaluation → Difference-in-Differences (DiD),Propensity Score Matching (PSM), Regression Discontinuity Design (RDD) → Structural Equation Modeling (SEM) → Survey Data Analysis & Socioeconomic Research → Machine Learning for Economic & Business Applications → Data Visualization, Dashboards & Business Intelligence → Academic Research, Thesis & Dissertation Support → Publication-Ready Tables, Figures & Reports → Reproducible Research & Transparent Analytical Workflows 𝗪𝗵𝗼𝗺 𝗜 𝘄𝗼𝗿𝗸 𝘄𝗶𝘁𝗵: Researchers, Ph.D. and Master's students, universities, development organizations, NGOs, government agencies, policy analysts, economists, financial analysts, consultants, and businesses seeking robust quantitative analysis, econometric modeling, forecasting, and evidence-based decision support. 𝗪𝗵𝗮𝘁 𝗺𝗮𝗸𝗲𝘀 𝗺𝘆 𝘄𝗼𝗿𝗸 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁: I do more than generate statistical output. I help clients understand the story behind the data, select appropriate methodologies, validate assumptions, interpret findings correctly, and communicate results effectively. If a model is unsuitable, I recommend a better alternative. If assumptions are violated, I identify and address the issue. My goal is to deliver results that are academically rigorous, professionally credible, and practically useful. 𝗧𝘆𝗽𝗶𝗰𝗮𝗹 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀: → Econometric analysis for academic research → Policy impact evaluation and program assessment → Panel data and longitudinal data modeling → Economic forecasting and time-series analysis → Survey data analysis and socioeconomic studies → Business intelligence and performance analytics → Thesis, dissertation, and journal publication support If you have a dataset, a research question, or a project requiring rigorous quantitative analysis, feel free to send me a message. I will assess your requirements and provide a clear roadmap for achieving your research or business objectives.

🏆TOP RATED DATA ANALYST I help researchers, businesses, and organizations transform raw data into actionable insights through statistical analysis, automation, predictive modeling, and research reporting. I provide end-to-end support throughout the analytics lifecycle — from data collection and cleaning to advanced analysis, visualization, and final reporting. With extensive experience in data analysis, I specialize in working with market research, financial, economic, medical, and various other types of datasets using advanced data analytics softwares such as Python, R, SPSS, Stata, Power BI, Excel, and EViews etc. Moreover, I can also build AI agents as well as develop softwares/applications to help you boost your profits and meet your business needs. Whether it's optimizing processes, automating data workflows, managing ETL pipeline, making data-driven decisions, designing interactive dashboards, generating market forecasts, performing risk analysis, or enhancing customer segmentation etc., I am here to provide solutions that drive success.

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

I've worked as a Senior Research specialist at Princeton University and posses around 3 years of experience using econometric tools to analyze large complex datasets . I can assist you to analyze, scrape, clean, reshape and merge all kinds of datasets. I can also write and revise your final thesis or other papers that will be published. Proficient in Stata, R, and LaTeX.