Vatsal P.

Machine Learning Engineer at Wondeur Ai
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Contact Information
Location
Greater Toronto Area, Canada, CA

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Credentials

  • Python (Basic)
    HackerRank
    Jul, 2020
    - Oct, 2024
  • Deployment of Machine Learning Models
    Udemy
    May, 2020
    - Oct, 2024
  • IBM Data Science Professional Certificate Specialization
    Coursera
    Feb, 2019
    - Oct, 2024
  • Bloomberg Market Concepts
    Bloomberg
    May, 2018
    - Oct, 2024

Experience

    • Canada
    • Technology, Information and Internet
    • 1 - 100 Employee
    • Machine Learning Engineer
      • Mar 2019 - Present

    • Canada
    • E-Learning Providers
    • 1 - 100 Employee
    • Data Science Mentor
      • Feb 2020 - Present

    • Canada
    • Higher Education
    • 700 & Above Employee
    • Vice President of Algorithmic Trading Group
      • Sep 2015 - Dec 2017

      Developed and created algorithms on Python and Quantopian which analyses data patterns in the stock market and performs trades based on specifications- Collaborating and discussing strategies through technical analysis to develop algorithms that yield the highest possible results- Conducted regular sessions of knowledge transfer and workshops where individuals from within the community would teach each other about things they're specialized in. (e.g Finance, Computer Science, Data… Developed and created algorithms on Python and Quantopian which analyses data patterns in the stock market and performs trades based on specifications- Collaborating and discussing strategies through technical analysis to develop algorithms that yield the highest possible results- Conducted regular sessions of knowledge transfer and workshops where individuals from within the community would teach each other about things they're specialized in. (e.g Finance, Computer Science, Data Science, Mathematics, Statistical Modelling etc.)- Created end to end data science pipelines to perform technical analysis on companies - Achieved 70% returns (on historic data) using an algorithm which analyses for bullish and bearish markets- Used various risk management techniques such as VaR and ES to measure portfolio risk and to optimize the risk to reward ratio- Conducted cluster analysis on different markets and created indices on the market to indicate good investments, market trends, growth within the market and risk associated with the market per investment- Aided in the recruitment and teaching of basic data science principles and their applications on the financial market - Taught the basics of finance for algorithm development, focused on fundamental and technical analysis of companies Show more Show less

Education

  • Ryerson University
    -

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