PowerPool builds permissionless decentralized automation network for guaranteed on-chain executionsResponsibilities: - development, support and upgrade dashboards on Dune - on-chain data analysis and research on different DeFi projects and rivals, including smart contracts exploring - running PowerPool testnet, infrastructure support, bug reporting - interaction with users and beta-testers, development of incentive program for them, writing instructions and… Show more PowerPool builds permissionless decentralized automation network for guaranteed on-chain executionsResponsibilities: - development, support and upgrade dashboards on Dune - on-chain data analysis and research on different DeFi projects and rivals, including smart contracts exploring - running PowerPool testnet, infrastructure support, bug reporting - interaction with users and beta-testers, development of incentive program for them, writing instructions and guides, optimization of testnet costsResults: - built 15+ dashboards and 150+ queries with all key metrics of the protocol, including testnet stats on different chains, and much more ad-hoc queries. These dashboards enchanced user experience and UI development by providing backup network status monitoring. Public dashboards are located here: https://dune.com/powerpool - provided research on rivals and found pros and cons of different approaches in keeper network realization algorithms, such as keeper selection mechanism, slashing, whitelist and other - led PowerPool testnet (keepers, servers, RPC monitoring) with 460+ keepers on 7 chains and reported 30+ issues, that allowed to significantly increase the stability of the software and add new features - developed incentive program for users according to conditions and fees on different blockchainsTech stack: SQL (Dune Analytics), Python, web3py, Git, Docker, Etherscan, Tenderly, Solidity, Remix Show less

Research on venture-backed tech startups and ML model developing for funding rounds predictionResponsibilities: - analysis, extraction and transforming of tech startup's data relevant for machine learning from open public and professional sources like Linkedin, Crunchbase and Pitchbook - applying ML to this data and building prediction model of future funding rounds existence and sizeResults: - researched venture backed startups and USA VC market for the last 20+… Show more Research on venture-backed tech startups and ML model developing for funding rounds predictionResponsibilities: - analysis, extraction and transforming of tech startup's data relevant for machine learning from open public and professional sources like Linkedin, Crunchbase and Pitchbook - applying ML to this data and building prediction model of future funding rounds existence and sizeResults: - researched venture backed startups and USA VC market for the last 20+ years, structured and preprocessed gigabytes of data about IPOs, acquisitions, exits, funding rounds, investors, founders and other - parsed Crunchbase, Pitchbook and Linkedin data for additional datasets about startups and their founders - tested hypotheses and found key metrics and features that affect company success - built several instances of ML prediction model (classification and regression models) of future successful funding rounds for venture-backed tech startups with around 75% accuracy, public version can be found here: https://github.com/DmitryVolyntsev/IPO_Analysis_publicTech stack: Python (Pandas, NumPy, Sklearn, XGBoost, BS4, Selenium, Matplotlib, Seaborn & other), Git, Tableau Show less

Glowbyte develops data marts and DWH for banking industryResponsibilities: - database and warehouse development for several Sberbank projects using different SQL dialects (mostly worked with Hive/Impala), ETL - ad-hoc querying, writing tests and finding bugs in data output - analysis of business requirements and communication with product ownerResults: - developed and improved data marts for several Sber projects such as Spasibo, loan program and other… Show more Glowbyte develops data marts and DWH for banking industryResponsibilities: - database and warehouse development for several Sberbank projects using different SQL dialects (mostly worked with Hive/Impala), ETL - ad-hoc querying, writing tests and finding bugs in data output - analysis of business requirements and communication with product ownerResults: - developed and improved data marts for several Sber projects such as Spasibo, loan program and other according to customer requirementsTech stack: SQL (Hive/Impala, Hadoop, SparkSQL), Git, MS Office/Google Sheets, Confluence, Jira Show less