Data Scientist & Data Engineering Leader

VADIM KAGANSKIY

San Francisco, CA 415-***-**** *********@*****.*** LinkedIn

Summary

Data Scientist with 6+ years of experience applying statistics, machine learning, Python, and SQL to large-scale data, predictive modeling, exploratory analysis, and business decision-making. Experienced in developing data pipelines, predictive and optimization models, and actionable insights across fintech-related commerce, healthcare, and e-commerce domains. Delivered measurable business impact through improved targeting, recommendations, and data quality.

Accomplishments

•Saved Walmart eCommerce over $300,000 in the first year alone by recovering mistakenly paid taxes.

•Conducted innovative research on customer demographics and customer behavior and calculated the age distribution of company customers, providing accurate insights to the Business to better target customers and increase sales.

•Recognized with awards for top performance: Innovation Champion award and Annual Engineering award.

•At Fanatics, integrated data from 40 sources and developed data pipelines to Elasticsearch and Salesforce for the use in targeted e-mail marketing campaigns. As a result of this project, sales increased by over $20,000,000 in the first year.

•Provided recommendations to Aktana’ customers that allowed to increase sales by 5-10% with the same budget.

•Co-founded a startup that developed technology to assist physicians in planning radiotherapy for cancer patients. The technology was sold to 8 cancer centers in Ukraine and Russia.

Technology Proficiencies

•Databases: Oracle, Redshift, Netezza, Teradata, SQL Server, Access, PostgreSQL, MySQL, Snowflake

•Languages: Python, SQL, HiveQL, R, PL/SQL, C, Java, Shell Scripting

•Development Tools: Anaconda, Spyder, Hive, Hadoop, AWS, S3, EC2, Elasticsearch, Spark, Salesforce, Qubole, Stonebranch, PL/SQL Developer, Aqua Studio, DBBeaver, Tableau, Informatica, Talend, Business Objects, Git, Jira

•Machine Learning: Statistics, Regression Analysis, Machine Learning, Pandas, NumPy, Scikit-learn

•Data Management: Data Warehousing, Data Quality

Work Experience

Stealth Startups Feb 2023 - Present

San Francisco, CA

•Consult and explore the ideas and feasibility of co-founding a startup with potential partners (details are confidential).

•Apply Python, SQL, data science, and database design to evaluate startup concepts and analytical opportunities.

Aktana Oct 2019 - Sep 2022

Lead Data Scientist San Francisco, CA

•Collaborated with cross functional stakeholder, including senior management and clients, to develop requirements, evaluate their feasibility and discuss insights.

•Developed data pipelines, collected, cleaned, and organized data required for machine learning models, applying data quality practices to support reliable analysis and explain results.

•Provided data visualizations and conducted data exploration, statistical analysis, and regression analysis of clients’ data to identify trends and actionable insights.

•Developed predictive models using machine learning and scikit-learn to predict doctors’ responses to the marketing activities of pharmaceutical companies.

•Developed multi-channel optimization models to recommend the best course of action for clients based on analytical findings.

•Implemented these models for several clients in different countries (Machine Learning, Statistics, Python, SQL, Snowflake, MySQL, AWS, S3, KNIME).

Fanatics May 2016 - Apr 2019

Member of Technical Staff (Staff Software Engineer) 2 San Mateo, CA

•Integrated data from around 40 different sources and developed data pipelines to load the data into Elasticsearch and Salesforce for the use in targeted e-mail marketing (SQL, Stonebranch, AWS, S3, Hive, Qubole, Hadoop, Elasticsearch, Redshift, Python, Spark, Salesforce), to bring dozens of millions of dollars of additional revenue.

•Conducted quantitative research and provided data visualizations to identify customer purchasing trends and generate insights into which products customers were likely to buy.

•Extracted and transformed information from multi-terabyte-size datasets such as AWS, S3, Hadoop, and Redshift.

Walmart Global E-Commerce Jan 2004 - May 2016

Architect, Staff Software Engineer (Business Intelligence) San Bruno, CA

•For 10+ years was leading financial reporting in the company from the engineering side.

•Developed data pipelines that ensured accuracy and on-time delivery of all financial reports.

•Identified and fixed several sources of data quality discrepancies that existed when I joined the company. Established a set of alarms that notified about discrepancies so they could be fixed immediately.

•Saved the company hundreds of thousands of dollars by recovering mistakenly paid taxes and claiming back taxes on refunded sales. Detected, mitigated, and prevented multimillion-dollar accounting errors.

•Served as Lead Architect on several large-scale projects. Provided high-level and detail design for new functionality.

•Closely collaborated with Business teams, Product Management, Project Management, and other stakeholders to address the business intelligence needs.

•Handled multi-terabyte production and data warehouse databases including Oracle, Teradata, and Netezza. Created and enhanced various sophisticated reports, data visualizations, dashboards, and data feeds (Tableau, Business Objects, shell and SQL scripts) as well as ETLs (Informatica, Talend, SQL).

•In ambiguous situations, leveraged data to drive business decisions. In particular, conducted innovative research on customer demographics and behavior; this research affected company’s marketing campaigns.

•Recognized with multiple awards for top performance including Innovation Champion award and Annual Engineering award.

KickFire

Senior Database Architect Saratoga, CA

•Oversaw database development. Designed database schema for the Web-based application providing collaboration tools.

•Developed and tested Web pages requiring complicated database calls (ColdFusion, SQL, PL/SQL, shell scripts, Java, C).

•Integrated KickFire product and evaluated its performance with various databases (Oracle, SQL Server, DB2, MySQL).

ABB Energy Information Systems

Senior Software Engineer Santa Clara, CA

•Developed, tested, maintained, and installed on users’ sites the supervisory control and data acquisition (SCADA) systems for power applications (Oracle, SQL, PL/SQL, C/C++, Oracle Forms, Java, Perl, Unix shell scripts, Avanti real-time database).

•Developed and maintained Data Engineering product to collect customers’ data for loading into the real-time database.

SVIT Medical Systems

Co-Founder, Vice President Kyiv, Ukraine

•Co-founded a startup that developed technology to assist physicians in planning radiotherapy for cancer patients. This technology was sold to 8 cancer centers in Ukraine and Russia.

Central Research Institute for Radiology

Research Scientist St. Petersburg, Russia

•Developed mathematical methods and software (C, Fortran) to calculate and optimize dose distributions for cancer radiotherapy using linear and dynamic programming.

•Developed mathematical methods and software (C++ and C) to simulate dynamic populations. Applied this software to medical and biological problems, such as predicting the evolution of a cell population after the injection of a drug.

Education & Credentials

Peter the Great Polytechnic University

Ph. D., Computer Applications St. Petersburg, Russia

State University

M.S., Physics St. Petersburg, Russia

•Achievements: Won multiple prizes in the competitions in math and physics (“Olympiads”) among high school students

Certification

•Executive Data Science Specialization & Data Science Specialization Certificates: John Hopkins University

•Data Visualization with Tableau Specialization Certificate: University of California Davis

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