Aleksandr Voishchev

Broomfield, Colorado, US

Data Scientist
Aleksandr's Skills
Data Analysis
Data Science
Programming
Background

Age Group

36-55

About Aleksandr

Data Science professional with extensive experience in programming and data-driven decision making.

● Expert in predictive analytics and statistical data modeling, including machine learning
● Skilled in programming with R, Python, C++, SQL
● Proficient in data visualization and data mining
● Strong problem solving and interpersonal skills

Work Experience

Data Scientist

Self-Employed

January 2016 - Today

• Create MVP for startup: web application using genetic algorithms for text optimization (ad texts, translations, etc.), from scratch, React/Redux/Loopback • Collaborate on data science for social good projects with local non-profits (Data for Democracy, Denver/Boulder chapters) • BioFrontiers Hackathon (CU, Boulder), May 2017 (Performed EDA for big EEG data in R: statistics, PCA, Autoencoder Networks) hackathon.colorado.edu • Developed open-source Neural Networks software packages for OpenOffice.org, MS Excel, etc. • Developed software tools using R to solve various business needs

Data Analyst

Tapco-M

September 2014 - January 2016

• Performed sales forecasting using predictive models, time-series analysis and simulation • Created statistical models (machine learning algorithms, regressions) and cluster groups (Kohonen maps, k-means) for capture new markets • Performed and visualized analysis of the export-import databases with Tableau, pivot tables in Excel, etc.

Marketing Data Analyst

Felix

July 2006 - September 2013

• Performed sales forecasting using predictive models, time-series analysis and simulation • Created statistical models (machine learning algorithms, regressions) and cluster groups (Kohonen maps, k-means) for capture new markets • Performed and visualized analysis of the export-import databases with Tableau, pivot tables in Excel, etc.

Postgraduate Scientist

Voronezh State Agricultural University

October 2001 - December 2004

• Built predictive models using unsupervised, supervised and autoencoder Neural Networks to urban land appraisal • Created spatial modelling tools combining neural networks and ArcGIS to calculate and visualize results (MS Visual C++/ActiveX, VBA) from scratch.

Education

Voronezh State Agricultural University

PhD in Economics

2001 - 2004