Invests in
Locations:
Min Investment:
$100,000.00Max Investment:
$5,000,000.00Target Investment:
$1,500,000.00
Skills
Education
Lists including Anton
Work Experience
2020
CEO&Co-founder
2020
Datrics.ai (YC W21) is an AI Analytics Copilot and low-code data intelligence platform. We supercharge the business and analytics teams with a single AI-powered tool to answer business questions through the chat, explore data and generate insights.
2021
General Partner
2021
2017 - 2020
Principal Data Scientist, EMEA Team Manager
2019 - 2020
Passionate about data-driven and cutting-edge projects and accounts. - Responsible for AI / Data Science projects and practice development for EMEA region and FinServices, Retail verticals - Managing multi-locational team of data scientists, analysts and ML engineers - Consultancy in the Data Science area - Pre-sales activities, project estimation and kick off
Data Science Expert / Consultant
2017 - 2019
- Hands-on data science application in the real-life projects - Consultancy in the Data Science field - Pre-sales activities, project estimation and kick off - Managing the analytics teams in the Software Engineering process - Processes establishment and development - Rapid prototyping and visualization
2015 - 2017
Senior Quantitative and Business Analyst / R data scientist / Resource Manager
2015 - 2017
-R data analysis and development -Risk models implementation/simulation -Regulatory framework and requirements -Applied research in quantitative and analytics field -Leading a team of analysts -Resource management
2011 - 2015
Senior Risk Analyst, Researcher
2011 - 2015
• Responsible for credit scorecard development: application, behavioral, collection and fraud scoring. • Basel II framework risk management: F-IRB, A-IRB, PD, LGD, EAD modeling. • Scientific research related to the scorecard and credit risk models development • Data analysis using SCORTO software and Matlab • Anti-fraud system development with ML techniques
2010 - 2011
Quantitative Analyst
2010 - 2011
• Developing and implementing profitable models for algorithmic trading