AV

Anton Vaisburd

General Partner at SID Venture Partners

San Francisco, California

Overview

Work Experience

  • CEO&Co-founder

    2020 - Current

    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.

  • General Partner

    2021

  • 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

  • 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

  • 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

  • Quantitative Analyst

    2010 - 2011

    • Developing and implementing profitable models for algorithmic trading

Relevant Websites