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Hire Dr. Eugene A.

United Arab Emirates

USD 70 /hr

PhD | Data Analytics Professor | Statistician | Quantitative Researcher | Actionable insights using R | SPSS | Stata

Profile Summary

⭐Highly Rated Data Analytics Professor, Statistician, Data Analyst/Scientist⭐ ✅Unlimited revisions ✅Clear explanations ✅Well-documented code ✅ Actionable insights ✅Fixed fee 𝘼𝘽𝙊𝙐𝙏 𝙈𝙀: 🥇 As a Lead Analyst in a large international research company, I was in charge of quantitative data analysis for 𝗛𝗲𝗶𝗻𝘇, 𝗧𝘂𝗯𝗼𝗿𝗴, 𝗩𝗮𝗹𝗶𝗼, 𝗮𝗻𝗱 𝗼𝘁𝗵𝗲𝗿 𝗺𝘂𝗹𝘁𝗶𝗻𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗰𝗼𝗿𝗽𝗼𝗿𝗮𝘁𝗶𝗼𝗻𝘀. 🛠 I develop 𝗶𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝘃𝗲 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝗮𝗹 𝘁𝗼𝗼𝗹𝘀 𝗮𝗻𝗱 𝘁𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲𝘀. 🎓 My research papers on statistics, marketing research/analytics, and data science/analysis are systematically published in 𝗹𝗲𝗮𝗱𝗶𝗻𝗴 𝗽𝗲𝗲𝗿-𝗿𝗲𝘃𝗶𝗲𝘄𝗲𝗱 𝗷𝗼𝘂𝗿𝗻𝗮𝗹𝘀. 💻 I help businesses, researchers, and doctoral students worldwide to analyze data for their research effectively using various tools (𝗥, 𝗣𝘆𝘁𝗵𝗼𝗻, 𝗦𝘁𝗮𝘁𝗮, 𝗦𝗣𝗦𝗦, 𝗘𝗩𝗶𝗲𝘄𝘀, 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗮, 𝗝𝗠𝗣, 𝗘𝘅𝗰𝗲𝗹, etc.). 📈 I have a unique combination of domain knowledge in business and science + technical skills, which allow me to provide my clients with 𝗮𝗰𝘁𝗶𝗼𝗻𝗮𝗯𝗹𝗲 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗮𝗻𝗱 𝗲𝘅𝗽𝗹𝗮𝗻𝗮𝘁𝗼𝗿𝘆 𝗺𝗼𝗱𝗲𝗹𝘀. 𝙈𝙔 𝙎𝙀𝙍𝙑𝙄𝘾𝙀𝙎: ✔️ Data analysis/data science/predictive modeling for business and research purposes using methods from data mining/machine learning (Gradient Boosting Machines, Random Forest, LASSO, KNN, SVM, etc.), econometrics, and statistics (including, but not limited to, medical statistics, biostatistics, epidemiological statistics, and neuroscience data analysis) ✔️ Survival Analysis (Cox proportional hazards model, Kaplan-Meier statistics, etc.) ✔️ Simulation and Forecasting ✔️ Developing Shiny Apps for data science/business analytics ✔️ Causal inference (propensity score matching, regression discontinuity design (RDD), difference-in-difference (DID) estimation, event studies) ✔️ Quantitative market research data analysis (including CHAID, CART, conjoint analysis, regression analysis, ANOVA, multilevel modeling, Van Westerndorp's Price Sensitivity Meter (PSM), Market Basket Analysis, attribution modeling, marketing mix modeling, and other advanced techniques) ✔️ Statistical consulting/tutoring on using R (ggplot, tidymodels, tidyverse, Shiny, etc.), Python, Stata, SPSS, EViews, Statistica, JMP, Weka, and Excel ✔️ US Census data ✔️ Analysis of Euromonitor/Statista.com data 𝙂𝙀𝙏 𝙔𝙊𝙐𝙍 𝙁𝙍𝙀𝙀 𝙌𝙐𝙊𝙏𝙀 𝘼𝙉𝘿 𝘼𝙉𝘼𝙇𝙔𝙎𝙄𝙎 𝙋𝙇𝘼𝙉: ✉️ 𝗣𝗹𝗲𝗮𝘀𝗲, 𝗳𝗲𝗲𝗹 𝗳𝗿𝗲𝗲 𝘁𝗼 𝘀𝗲𝗻𝗱 𝗺𝗲 𝘆𝗼𝘂𝗿 𝗱𝗮𝘁𝗮 𝘁𝗼 𝗴𝗲𝘁 𝗮𝗻 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗽𝗹𝗮𝗻 𝗮𝗻𝗱 𝗮𝗻 𝗲𝘀𝘁𝗶𝗺𝗮𝘁𝗲𝗱 𝗳𝗲𝗲. 𝗧𝗼 𝗺𝗮𝗸𝗲 𝘆𝗼𝘂𝗿 𝗲𝘅𝗽𝗲𝗻𝘀𝗲𝘀 𝟭𝟬𝟬% 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗮𝗯𝗹𝗲, 𝗜 𝗰𝗮𝗻 𝗮𝗹𝘄𝗮𝘆𝘀 𝗽𝗿𝗼𝗽𝗼𝘀𝗲 𝗮 𝗳𝗶𝘅𝗲𝗱 (𝗳𝗹𝗮𝘁) 𝗳𝗲𝗲 𝗶𝗻𝘀𝘁𝗲𝗮𝗱 𝗼𝗳 𝗮𝗻 𝗵𝗼𝘂𝗿𝗹𝘆 𝗿𝗮𝘁𝗲.

Subject Matter Expertise

• ★ Data Analysis
• ★ Applied Statistics
• ★ Research
• ☆ Biostatistics
• ☆ Data Science
• ☆ Social Network Analysis
• ☆ Computer Simulation/Computational Modeling
• ☆ Predictive Modeling & Analytics
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Cluster Analysis
• ☆ Data Visualization
• ☆ Big Data Analytics
• ☆ Data Management
• ☆ Data Manipulation
• ☆ Machine Learning
• ☆ Text Mining & Analytics
• ☆ Data Mining
• ☆ Data Cleaning
• ☆ Natural Language Processing
• ☆ Artificial Intelligence
• ☆ Business Analytics
• ☆ Statistics
• ☆ Meta-Analysis
• ☆ Regression Analysis
• ☆ Multivariate Analysis
• ☆ Nonlinear Regression
• ☆ Bayesian Statistics
• ☆ Correlation Analysis
• ☆ Statistical Computing
• ☆ Spatial Statistics
• ☆ Medical Statistics
• ☆ Health Data Analysis
• ☆ Trend Analysis
• ☆ Bioinformatics
• ☆ Pure Mathematics
• ☆ Mathematical Analysis
• ☆ SPSS
• ☆ Excel
• ☆ STATA
• ☆ R
• ☆ Public Health
• ☆ Epidemiology
• ☆ Health Informatics
• ☆ Technical & Scientific Writing
• ☆ Manuscript & Journal Article Writing
• ☆ Business Statistics
• ☆ Data-Driven Decision Making
• ☆ Econometrics
• ☆ Microeconomics
• ☆ Sales & Marketing
• ☆ Market Research
• ☆ Quantitative Market Research
• ☆ Marketing Analytics

Services

• Writing
• Research
• Data & AI
• Product Development

Writing Clinical Trial Documentation, Technical Writing

Research Market Research, Meta-Research, Feasibility Study, Fact Checking, Gap Analysis, Gray Literature Search, Systematic Literature Review, Secondary Data Collection

Data & AI Predictive Modeling, Statistical Analysis, Algorithm Design-Non ML, Data Visualization, Big Data Analytics, Data Processing, Data Insights

Product Development Product Validation, Concept Development, Prototyping

Work Experience

Associate Professor

National Research University Higher School of Economics

- Present

Associate Professor of Data Analytics

National Research University Higher School of Economics

September 2010 - Present

Lead Analyst (quantitative research)

Comcon Research Company (part of Research International/TNS/Synovate)

January 2007 - September 2010

Education

MSc

National Research University Higher School of Economics

- Present

PhD

Saint Petersburg State University of Economics

- Present

PhD in Quantitative and Instrumental Research Methods

Saint-Petersburg State Economic University

September 2011 - September 2014

MSc in Mathematical Economics

National Research University Higher School of Economics

September 2005 - August 2011

Certifications

• Certification details not provided.

Publications

JOURNAL ARTICLE

Antipov, E.A., Pokryshevskaya, E.B.(2020). Impact of superstitious beliefs on the timing of marriage and childbirth: Evidence from Denmark . Judgment and Decision Making. 15. (5). p. 756-782.

Antipov, E.A., Pokryshevskaya, E.B.(2020). Interpretable machine learning for demand modeling with high-dimensional data using Gradient Boosting Machines and Shapley values . Journal of Revenue and Pricing Management. 19. (5). p. 355-364.

Antipov, E.A., Pokryshevskaya, E.B.(2019). The effects of adverse drug reactions on patients’ satisfaction: Evidence from publicly available data on Tamiflu (oseltamivir) . International Journal of Medical Informatics. 125. p. 30-36.

Antipov, E.A., Pokryshevskaya, E.B.(2017). Are box office revenues equally unpredictable for all movies? Evidence from a Random forest-based model . Journal of Revenue and Pricing Management. 16. (3). p. 295-307.

Antipov, E.A., Pokryshevskaya, E.B.(2017). Order effects in the results of song contests: Evidence from the eurovision and the new wave . Judgment and Decision Making. 12. (4). p. 415-419.

Pokryshevskaya, E.B., Antipov, E.A.(2017). Profiling satisfied and dissatisfied hotel visitors using publicly available data from a booking platform . International Journal of Hospitality Management. 67. p. 1-10.

Antipov, E.A., Pokryshevskaya, E.B.(2016). How to Measure the Power of Actors and Film Directors? . Empirical Studies of the Arts. 34. (2). p. 147-159.

Antipov, E.A., Pokryshevskaya, E.B.(2016). Rank-sales relationship in electronic commerce: Evidence from publicly available data on 11 product categories . Electronic Commerce Research and Applications. 16. p. 1-6.

Pokryshevskaya, E.B., Antipov, E.A.(2015). A study of numerological superstitions in the apartments market . Economics Bulletin. 35. (1). p. 83-88.

Antipov, E.A., Pokryshevskaya, E.B.(2015). Are buyers of apartments superstitious? Evidence from the Russian real estate market . Judgment and Decision Making. 10. (6). p. 590-592.

Pokryshevskaya, E.B., Antipov, E.A.(2015). Using location-based social networks as a novel source of marketing data: The case of shopping malls . Economics Bulletin. 35. (2). p. 1292-1298.

Pokryshevskaya, E., Antipov, E.(2014). A comparison of methods used to measure the importance of service attributes . International Journal of Market Research. 56. (3). p. 283-296.

Antipov, E.A.(2014). An HLM-model of online price premia . Economics Bulletin. 34. (2). p. 892-900.

Antipov, E.A., Pokryshevskaya, E.B.(2014). Explaining differences in recommendation rates: The case of south Cyprus hotels . Economics Bulletin. 34. (4). p. 2368-2376.

Pokryshevskaya, E.B., Antipov, E.A.(2012). The strategic analysis of online customers repeat purchase intentions . Journal of Targeting, Measurement and Analysis for Marketing. 20. (3-4). p. 203-211.

Antipov, E.A., Pokryshevskaya, E.B.(2012). Mass appraisal of residential apartments: An application of Random forest for valuation and a CART-based approach for model diagnostics . Expert Systems with Applications. 39. (2). p. 1772-1778.

Antipov, E., Pokryshevskaya, E.(2011). Accounting for latent classes in movie box office modeling . Journal of Targeting, Measurement and Analysis for Marketing. 19. (1). p. 3-10.

Pokryshevskaya, E.B., Antipov, E.A.(2011). Applying a CART-based approach for the diagnostics of mass appraisal models . Economics Bulletin. 31. (3). p. 2521-2528.

Antipov, E., Pokryshevskaya, E.(2010). Applying CHAID for logistic regression diagnostics and classification accuracy improvement . Journal of Targeting, Measurement and Analysis for Marketing. 18. (2). p. 109-117.