Senior Data Engineer

• Apr 2022 - Present

Data Scientist

• Nov 2021 - Mar 2022

• Performed statistical analysis of the A/B testing data. • Created unsupervised models to understand the advertiser’s behavior. • Performed probabilistic and predictive modeling for the time series (UX, revenue, job seekers, job providers). • Answered challenges related to the feature launches, product upgrades using EDA and modeling. • Performed statistical analysis of the A/B testing data. • Created unsupervised models to understand the advertiser’s behavior. • Performed probabilistic and predictive modeling for the time series (UX, revenue, job seekers, job providers). • Answered challenges related to the feature launches, product upgrades using EDA and modeling.

Data Scientist

• Nov 2018 - Nov 2021

• Created predictive models and performed data explorations for the oil & gas companies. • Created new predictive capabilities for the product, that start product transformation from SaaS to PaaS and DaaS and allow customers to increase the quality of their business decisions. • Presented machine learning models on industry events. • Created industry-specific dashboards and visualizations of complex data. • Created semi- and fully automated ETL data pipelines to import the data from the third-party subscriptions (Python, AWS SWF, Lambda, SQL, C++) and to deliver data products to the customers. • Leading the development team in different time zones and countries. Show less

Data Scientist

• Aug 2018 - Oct 2018

• Performed machine learning modelling for pricing data (Kohonen SOM clustering, PCA, multi-D visualizations). • Created a custom data preprocessing (ETL) library with R and implemented EDA pipelines. • Performed machine learning modelling for pricing data (Kohonen SOM clustering, PCA, multi-D visualizations). • Created a custom data preprocessing (ETL) library with R and implemented EDA pipelines.

Data Scientist

• Jul 2017 - Jul 2018

• Improved performance and functionality of the C++ NLP library, (speed of processing has been increased more than 10 times). • Wrote data scrapers and ETL modules for different web sources (Python). • Performed data acquisition, cleansing and feature engineering for predictive models and visualization as data pipelines (R, Python). • Performed EDA and visualizations of data, outliers/anomalies detection, etc. • Created machine learning models and worked with their explainability (Python, Scikit Learn). • Created MVP: a web application for NLP based searching engine (Node.js, C++). • Created MVP: web applications to visualize sensor, spatial, and 3D data and connect with predictive models to visualize and explain the results of the prediction (Node.js, Python / Flask). • Created MVP: web application using genetic algorithms for ad text optimization (Node.js, Python). Show less

Data Scientist

• Feb 2016 - Jun 2017

• Collaborate on data science and software development for social good projects with local non-profits (Code for Denver, Data for Democracy, Denver/Boulder chapters). • BioFrontiers Hackathon (CU, Boulder), May 2017 (Performed EDA for big EEG data in R: statistics, PCA, Autoencoder Networks). Found some perspective approaches to anomaly detection in EEG signals. • Developed open-source Neural Networks software packages for OpenOffice.org, MS Excel, etc. • Developed predictive tools using R and Python to solve various business needs. Show less

Lead Data Analyst

• Apr 2004 - Jun 2015

• Developed analytical and reporting applications for clients (BI tools, SQL, ETL, ERP systems, etc.) • Created predictive models for sales forecasting, time-series analysis, statistical models and performed clustering analysis of marketing data. • Created a model to develop a predictably successful new product with custom machine learning software. • Developed algorithms and data pipelines to perform data-driven decisions in marketing. • Developed analytical and reporting applications for clients (BI tools, SQL, ETL, ERP systems, etc.) • Created predictive models for sales forecasting, time-series analysis, statistical models and performed clustering analysis of marketing data. • Created a model to develop a predictably successful new product with custom machine learning software. • Developed algorithms and data pipelines to perform data-driven decisions in marketing.