Profile Details

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USD 70 /hr

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Hire Dr. Eugene Antipov

Russian Federation

USD 70 /hr

PhD, Data Scientist/Analyst, Statistician, Quantitative Researcher. Great at extracting actionable insights from data.

Profile Summary

I am a University Professor and a statistical consultant/data scientist (President of StatAdvice.com) holding a PhD and a MSc degree in Quantitative Research Methods. As a Lead Analyst in Research International (now part of TNS), I oversaw quantitative data analysis for Heinz, Tuborg, Valio and other multinational corporations. My research papers on statistics, marketing research and data analysis are systematically accepted by leading peer-reviewed journals. I help businesses and researchers all over the world to analyze their data effectively using various tools (R, SPSS, Stata, EViews, Excel, Statistica). 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 include - Data analysis/data science/predictive modeling for business and research purposes using methods from data mining, machine learning, econometrics and statistics (including, but not limited to, medical statistics, biostatistics, epidemiological statistics and neuroscience data analysis) - 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, Stata, SPSS, EViews, Statistica and Excel Please, feel free to contact me. To make your expenses 100% predictable, I can always suggest a fixed fee instead of using an hourly rate.

Subject Matter Expertise

• ★ Data Analysis
• ★ Quantitative Research
• ★ Applied Statistics
• ☆ Data Processing
• ☆ Probability & Statistics
• ☆ Biostatistics
• ☆ Machine Learning
• ☆ Marketing
• ☆ Consumer Goods Industry
• ☆ Predictive analytics
• ☆ Health Data Analysis
• ☆ Regression Analysis
• ☆ Econometrics
• ☆ Nonlinear Regression
• ☆ Bayesian Statistics
• ☆ Business Statistics
• ☆ Microeconomics
• ☆ Business Analytics
• ☆ Marketing Analytics
• ☆ SPSS
• ☆ Data-Driven Decision Making
• ☆ Data Analytics
• ☆ STATA
• ☆ Data Science
• ☆ Data Mining
• ☆ Predictive Modeling
• ☆ Clustering
• ☆ Forecasting
• ☆ Data Analysis (Biotech & Life Sciences)

Services

• Scientific consulting
• Product development
• Scientific writing
• Data science & analysis

Scientific writing White paper, Grant proposal, Journal article, Educational content

Data science & analysis Simple data analysis, Complex data analysis, Statistical analysis, Algorithm design, Data visualization

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.