1. Sergii Golovko
492 Heatherbrooke Way • Westerville • OH, 43081 • 814-441-9877 • sergii.golovko@gmail.com
SUMMARY a
Data analyst/scientist with strong analytical skills, able to work under time pressure, fast learner, result-
oriented, skilled to solve new and challenging questions. Solid understanding of a data analysis process including
data mining, preprocessing, feature creation and applying machine learning techniques (linear and logistic
regressions, decision trees, etc.) to build predictive models. Professional programmer (C++, VB, SQL), knowledge
of scripting languages (Matlab, Python), and statistical software (STATA, R and SAS).
EXPERIENCE a
KAGGLE DATA SCIENCE COMPETITIONS Dec 2015 – Sep 2016
▪ Finished top 1% in a competition organized by Home Depot and top 10% in a competition organized by
Santander (both times as a part of a team). Prepared (post-completion) solution scoring top 5% for a
competition organized by Telstra, which is available on GitHub
▪ Performed complete data analysis (in Python and R) including feature engineering, data visualization, building
forecasting models (logistic and linear regressions, random forest, gradient boosting, xgboost, etc.)
▪ Applied different ensemble techniques (such as blending, rank averaging, etc.) to improve the performance of
single models; Performed cross-validation to evaluate models
PENN STATE UNIVERSITY
Teaching Instructor Summer 2012, 2014, 2015, 2016
▪ Instructed students in Introductory and Intermediate Microeconomics courses
▪ Directed students through courses, organized online forum on Piazza and hold review sessions before exams
Research Assistant at the Center for the Study of Auctions, Procurements and Competition Policy Spring 2015
▪ Imported auction data from the FCC website and wrote VBA script which allows to merge auction results from
arbitrary number of excel files in a single file and to transform the data to a desirable format (substantially
speeding up the process of data collection). Technical report is available on GitHub
Teaching Assistant Aug 2010 – Dec 2014
▪ Instructed Mathematics for Economists and Econometrics for graduate students
▪ Instructed Intermediate Microeconomics, Intermediate Macroeconomics, and Decision Making and Strategy in
Economics for undergraduate students
External Advisor for BATES WHITE: ECONOMIC CONSULTING Dec 2011
▪ Evaluated the papers of job market candidates; Recommended questions to be asked during the interview
process
LAVATERA LTD, Kyiv, Ukraine Oct 2006 – Dec 2008
C++ Software Developer
▪ Contributed to development of the graphic interface (CATOPO project) that allows to transform topology
optimization problem directly to CAD data
▪ Performed finite element analysis, designed and implemented 3D algorithms
ADVERTISING AGENCY RAM 360, Kyiv, Ukraine May 2006 – Aug 2006
Visual Basic and SQL Programmer
▪ Developed and implemented an algorithm for identification and removal of duplicates in large datasets

2. EDUCATION .
PENNSYLVANIA STATE UNIVERSITY, University Park, USA 2010 – 2016
PhD in Economics
▪ GPA: 3.9 out of 4.0
▪ Course Work: Econometrics, Empirical Methods, Industrial Organization, Microeconomics, Macroeconomics
▪ Programmed estimation techniques in Matlab for Empirical Methods and Econometrics classes
▪ Replicated the results of several empirical papers for Empirical Methods and International Trade classes
KYIV SCHOOL OF ECONOMICS, Kyiv, Ukraine 2008 – 2010
Master of Arts in Economics
▪ GPA: 3.7 out of 4.0 (class rank 3 out of 20, degree with honors)
▪ Course Work: Econometrics, Nonparametric Econometrics, Productivity Analysis, Financial Theory, Option
Pricing and Project Valuation, International Finance, Microeconomics, Macroeconomics
▪ Performed data analysis and visualization in STATA
KYIV NATIONAL TARAS SHEVCHENKO UNIVERSITY, Kyiv, Ukraine 2002 – 2008
Master of Science in Applied Mathematics
▪ GPA: 5.0 out of 5.0 (degree with honors)
▪ Course Work: Numerical Methods, Programming, Information Systems and Databases, Mathematical
Modeling, Algorithm Theory and Mathematical Logic, Probability Theory and Statistics, Real Analysis
▪ Implemented several numerical algorithms using C++ and Matlab
CERTIFICATIONS a___________
▪ Machine Learning by Stanford University on Coursera January 2016
▪ SAS Online Tutor: Basic and Intermediate SAS March 2016
AWARDS and SCHOLARSHIPS a
▪ Graduate Assistantship, Penn State University 2010 – 2016
▪ Graduate Assistantship, Kyiv School of Economics 2008 – 2010
▪ Third Team Place at the National Final of Global Management Challenge (GMC), Kyiv, Ukraine Dec 2009
▪ Fourth Team Place at the National Final of Global Management Challenge (GMC), Kyiv, Ukraine Dec 2008
▪ Winner of the National Ukrainian Olympiad in Mathematics at the State Level (2nd
prize) Dec 2001
▪ Gold Medal for High Achievements in Secondary Education July 2002
SOFTWARE SKILLS a
Data Science Related Python, R, Rpart, Caret, Ggplot, Scikit-learn, NumPy, Pandas, Xgboost, Matplotlib
Programming C++, SQL, Matlab, VBA
Statistical and
Numerical Computing STATA, SAS, Mathematica, Maple
LANGUAGES a
English/Ukrainian/Russian
LINKS a
LinkedIn Profile https://www.linkedin.com/in/sergii-golovko-30801ba8
Personal Web Page http://www.personal.psu.edu/sag5322/index.html
GitHub https://github.com/sergiigolovko
Kaggle Data Science Competitions https://www.kaggle.com/sergiigolovko