Engineer Process

ILYA KUPCHENKO

CONTACT INFORMATION

E-mail: ac2ha1@r.postjobfree.com

Web-site: ilyakupchenko.wordpress.com

Github: ilya-kupchenko.github.io

ADDRESS

*** **** ********** ****, ***. 4

Pasadena, CA, 91104

Cell phone: +1-213-***-****

OBJECTIVE

Sr. Data Analyst/QA

COMPUTER SKILLS

Math software: Matlab, MathCAD, Mapple, Mathematica, Octave

Languages: C/C++, Fortran, Python, PHP, Perl, BASH/CSH, VBA, Java, JavaScript

Data Analysis: Python Sklearn (PCA, ICA, SVM, Random Forests, XGBoost), Python Web-Crawlers: Selenium and Scrapy, OpenCV (computer vision) EDUCATION

University of Southern California

MS in Chemistry

MS in Computer Science with Concentration in Data Science, GPA 3.6 PROJECTS

Potential of Mean Force github.com/ilya-kupchenko/pmf PMF algorithm for the evaluation of the kinetic energy barriers of the molecular processes using the overlapping histograms

Santander Kaggle Competition github.com/ilya-kupchenko/xgboost-kaggle-santander-solution XGBoost Solution for Santander Customer Satisfaction 2016: predicting customers satisfaction bas- ing on their interaction with the Santander Bank website. Car Website Scraper github.com/ilya-kupchenko/car-website-scraper Scraping the car market analytics websites: classifying the models, makes, years and engine param- eters and building up a joint ontology for querying several websites via COMA++ schema matching algorithm.

EXPERIENCE

Research Assistant University of Southern California Summer 2012-Summer 2016 Los Angeles, CA

Evaluating the energy barriers via molecular dynamics and Monte-Carlo methods. Research Assistant Lomonosov Moscow State University Fall 2007 { Spring 2011 Moscow, Russia

Simulation of migration of nanoparticle clusters over the crystal surface. (fullerenes and carboranes) using molecular dynamics.

Process Engineer, Intern Proctror & Gamble Summer 2008 Russia, Moscow

Supply Chain Optimization Intern.

Process Engineer, Intern British American Tobacco Summer 2007 Russia, Moscow

Data Analysis Intern. Quality Assurance Data Analysis.

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