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🏆 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

I am an experienced quantitative financial researcher with 15+ years of experience in the field. Before that, I used to be a Physicist in academia, where I had a passion for cosmology (my PhD thesis was in this) and Quantum Physics (I currently run a blog on Linkedin on this). As part of this background, I can contribute to gigs that involve any of the following, but not limited to it: • Data analysis (optimization, clustering, especially dealing with very noisy data, applying any mathematical model on data) • Machine Learning (random forests, adversarial networks, recurrent networks, ....) • Proficient in C, Python, C#, but you can definitely catch my interest if you have a problem involving the Wolfram Language • Passionate about Quantum Physics, so I would definitely enjoy projects that require working in theoretical Quantum Physics. • I can do projects that involve Mathematics (Chaos Theory, Dynamical Systems, Real Analysis). • Last, but not least, I have experience in the full cycle of generating systematic strategies from prototyping to implementing into production all the way to monitoring the execution.

Your spreadsheet won't survive ten minutes with a serious investor. I fix that. PhD economist, 20 years building financial models across energy, mortgage, and finance. I build investor-ready deliverables: scenario modeling with controlled inputs, sensitivity analysis, audit-safe outputs that survive scrutiny. When you sit across from an investor, you're not guessing. You know your numbers, and you can prove them. --- What I Build: Financial Models & Scenario Tools Modular architecture with controlled assumptions. Sensitivity analysis, stress testing, audit-safe exports. Excel/VBA or Python - whatever fits your stack. Dashboards & Stakeholder Reporting Power BI and Excel dashboards with dynamic visuals, role-based views, and clear summaries. DAX modeling for financial metrics and risk scoring. Data Pipelines & Automation Python ETL pipelines, batch processors, API integrations. SQL/Oracle reporting with skip/resume logic and error resilience. Econometric Analysis Regression models (OLS, GLM, VAR, GARCH, panel, time series), forecasting, diagnostic reporting. R or Python with reproducible workflows. --- Tools: Python, R, SQL, Excel/VBA, Power BI, Oracle, Streamlit, Shiny Sectors: Energy, Mortgage, Financial Services --- If you need a model you can defend in the room, let's talk.

I'm a quantitative researcher/scientist who enjoys forming hypotheses, designing studies to test hypotheses, working with data, building statistical models, conducting statistical tests, and producing fully customized graphs/visualizations to show the results of quantitative research. I also enjoy creating computer simulations and building R Shiny apps. I usually do most of my work in R, though I also used Stata, Python, Excel, and SPSS in the past. I did a PhD at Stony Brook University, where I conducted quantitative research in political psychology and political economics and where I received extensive training in statistics and methods of data analysis. My coursework included basic statistics and probability, experiment design, econometrics, linear and non-linear regression models (including binomial models, multinomial models, ordinal models, count models, censored and truncated models), maximum-likelihood estimation, time-series analysis, experiment design, causal inference, instrumental variables, regression discontinuity, structural equation modeling, factor analysis, game theory, computational modeling and simulations. For several years I also taught university courses in math, statistics, and quantitative research methods for social science. I taught students how to use R, Stata, and Excel for data analysis. I taught both undergraduate students and doctoral students. I also have experience with publishing quantitative research in peer-reviewed journals, both as a solo author and as a team. In my freelance consulting work, I have advised clients on study design and statistical analysis for projects in many different fields of research, including psychology, sociology, economics, linguistics, mental health, medical treatment and recovery, business hiring practices, predictive modeling of asset prices, consumer preferences for market research, and others. - James Cragun

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.

I am a professor of economics at Seattle University (previously California State University Fullerton) with a PhD in economics from the University of Washington. I specialize in microeconomics and quantitative analysis, especially using observational data (although I have my share of experiment design experience as well). I have tons of experience with Python, Stata, and especially R. I have written packages that are publicly available in all three languages. I can help with research design, analysis, and data cleaning/preparation, either for projects that use observational administrative or government data, or for experimental design. I have plenty of experience working with both academic and private-sector work, and have spent years doing consulting for finance projects in VC and PE. Finally, I do plenty of work helping people edit or revise their research writing. As of this writing, I have more than 20 published papers in applied economics and econometrics, and many more in the pipeline. I have extensive experience as a mentor and tutor helping people with their own class projects, theses, dissertations, or nonacademic research projects. I have many years of teaching and tutoring experience. I am a full-time professor, and am looking for supplementary work in order to save up for some major purchases. What I don't do: Please note that I am an economist, not a financier or businessperson. I am unlikely to be able to help you design investment plans, business operations, or a blockchain white paper. Hourly rate can be negotiated depending on the project.