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Sergei Kocherov

@sergeikocherov

Lead Analytics Engineer at SWEAT who built a BigQuery data platform and increased experiments launched by 70%.

At SWEAT, I built a BigQuery data platform processing hundreds of millions of data points daily, bringing together backend CDC, mobile app events, blockchain data, and external APIs.

While responsible for monetization, I increased ARPDAU by approximately 35% through rewarded-ad incentives and native-ad placement changes while protecting retention. I also increased experiments launched by 70% by implementing GrowthBook with automated setup and result calculations.

I built an internal AI agent and a semantic layer in dbt and Lightdash for self-service analytics. I also cut platform costs by approximately 45% by moving ETL to Cloud Run Jobs, replacing Airflow/Cloud Composer with Kestra, and optimizing BigQuery.

Previously, at Sweatcoin, I built account-risk signals and data pipelines, and developed user profiles, retention metrics, funnels, and audience segmentation. At Promsvyazbank, I built analytics and machine-learning ETL pipelines; at Diasoft, I designed data models for XBRL reporting and led a team building a reporting system.

Experience

Work history, roles, and key accomplishments

Current

Lead Analytics Engineer

Current

SWEAT

Jun 2025 - Present (1 year 4 months)

Increased ARPDAU by approximately 35% through rewarded-ad incentives and native-ad placement changes. Built a BigQuery data platform from scratch processing hundreds of millions of data points daily, and increased experiments launched by 70% by implementing GrowthBook.

BigQuery DBT Lightdash Growthbook Airflow Kestra Cloud Run Python SQL ETL ELT Data Architecture A B Testing Product Analytics Monetization AI Agents Semantic layer CI CD Terraform Docker

Senior Data Scientist

Sweatcoin

Sep 2021 - May 2025 (3 years 8 months)

Built account connection pipelines and developed suspicious activity signals for antifraud. Implemented a Zendesk comment embedding pipeline for semantic analysis, and built Airflow pipelines ingesting data into BigQuery.

Python SQL Airflow BigQuery DBT Lightdash PostgreSQL Blockchain ETL Data Pipelines Anti Fraud Semantic Analysis Zendesk Data Quality

Senior Data Analyst

Promsvyazbank

Nov 2019 - Aug 2021 (1 year 9 months)

Built SQL and Python ETL pipelines for analytics and machine learning, with data checks and monitoring. Created datasets, dashboards, an AutoML library, and a named-entity recognition tool.

SQL Python ETL Data Pipelines Data monitoring Dashboarding AutoML Named Entity Recognition Machine Learning

Senior Business Analyst

Diasoft

Oct 2017 - Sep 2019 (1 year 11 months)

Designed data models and SQL queries for XBRL financial and regulatory reporting. Led a team building a reporting system and introduced version control.

Data Modeling SQL XBRL Financial Reporting Regulatory Reporting Team Leadership Version Control

Education

Degrees, certifications, and relevant coursework

Finance University under the Government of the Russian Federation

Master's Degree, Machine Learning and Data Analysis in Economics

2019 - 2021

Master's Degree in Machine Learning and Data Analysis in Economics from Finance University under the Government of the Russian Federation, Moscow, from 2019 to 2021.