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A dynamic Senior Biostatistician and Data Scientist seeks to bring an accomplished combination of education and experience to an industry-leading employer. 15+ years of experience in related data analysis, computer programming, and instruction roles for distinguished universities. Ph.D. in Biostatistics, with an M.S. in both Bio-Engineering and Applied Mathematics. Proficient in data management, mathematical modeling, grad/undergrad instruction, longitudinal/statistical analysis, project management, and more. Diligent and goal-oriented, with the skills, education, and hands-on experience needed to make an immediate impact as part of any fast-paced team.

🏆 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

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

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.

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 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.