Dan Okhlopkov

CTO at WeBill.io
Data Lead @ Runa Capital
CDO @ Sweatcoin
In crypto since 2017

Projects

WeBill.io

Multi-chain payment infrastructure for GameFi and NFTSolidity, Python, Ethereum, web3.js, Web3.py, React.js, Polygon, Solana, Binance Smart Chain, NEAR Protocol

WeBill

Multi-chain payment infrastructure for GameFi and NFTSolidity, Django, Python, Ethereum, Binance, web3.js, Web3.py, React.js, Polygon

WeBill.io

Multi-chain payment infrastructure for GameFi and NFTSolidity, Django, Next.js, Python, Ethereum, web3.js, Web3.py, React.js, Polygon, Binance Smart Chain

WeBill.io

Multi-chain payment infrastructure for GameFi and NFTSolidity, Django, Next.js, Python, Ethereum, web3.js, Web3.py, React.js, Polygon, Binance Smart Chain

Skills

Python

Solidity

Django

Data Science

Web Scraping

Experience

Runa Capital - Data Lead
February 2021 - Present
Developed internal Runa Data Platform which aggregates data on companies, funding rounds and founders to put our associates on steroids: DD, Competitor analysis, predictions, talent acquisition,
Sweatcoin - Data Scientist
January 2018 - January 2020
Responsible for all types of analytics like
- Retention, revenue, conversion analysis
- Behavior modeling and simulations.
- Automation of all of the above
  Trained the team to use Big Data BI tools and perform some analyses by themselves.
Created
- Big Data analytics pipeline from scratch (stack: Airflow, BigQuery, Statsbot) with the subsequent cost reduction
- Business key metrics monitoring dashboards
- Cheap A/B tests analytics (Firebase data with ETL)
- Invite and Transaction Fraud detection systems from scratch (pattern recognition)
- Support Automation from scratch (tickets classifier and reporting)
- Steps verification algorithm refinement
- SWC exchange rate simulation models (Excel and Python stats models)
Stack: Python, Sklearn, Pandas, GCP, Airflow, Kepler.gl, Looker, DataFlow, PostgresResponsible for all types of analytics like * Retention, revenue, conversion analysis * Behavior modeling and simulations. * Automation of all of the above Trained the team to use Big Data BI tools and perform some analyses by themselves. Created * Big Data analytics pipeline from scratch (stack: Airflow, BigQuery, Statsbot) with the subsequent cost reduction * Business key metrics monitoring dashboards * Cheap A/B tests analytics (Firebase data with ETL) * Invite and Transaction Fraud detection systems from scratch (pattern recognition) * Support Automation from scratch (tickets classifier and reporting) * Steps verification algorithm refinement * SWC exchange rate simulation models (Excel and Python stats models) Stack: Python, Sklearn, Pandas, GCP, Airflow, Kepler.gl, Looker, DataFlow, Postgres
Эмблема компании Morejust