Harsh Jain

Data Scientist at Perpetual Block AG
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Contact Information
us****@****om
(386) 825-5501
Location
Pune, Maharashtra, India, IN

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Raghvendra Kumar

Harsh is an enthusiast anytime go-to guy for data science, equity research and financial modelling needs. He never says no to anything and whatever he does he proves that he is the best – not by words but by delivery. Even in very tight situations, he never compromises on quality and never lose his temper. Being a nice disciplined human being, he is equally at par best in data science, financial analysis, financial modeling, equity research, or as a project manager.

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Credentials

  • Python and Statistics for Financial Analysis
    Coursera
    Aug, 2021
    - Nov, 2024
  • Algorithmic Trading and Stocks Essential Training
    LinkedIn
    May, 2021
    - Nov, 2024
  • Microsoft excel for Finance, Accounting and Financial Analysis
    Udemy
    Feb, 2021
    - Nov, 2024
  • Financial Modelling
    NSE Academy Certifications in Financial markets (NCFM)
    Sep, 2019
    - Nov, 2024

Experience

  • Perpetual Block - a Partex Company
    • Switzerland
    • Information Technology & Services
    • 1 - 100 Employee
    • Data Scientist
      • May 2022 - Present

    • Knowledge Associate - Data Analyst
      • Jun 2021 - May 2022

      -Research based Long/Short recommendations on US public traded Biotech companies. Key tasks include Identifying potential stocks, deploying various trading strategies and Model based Equity valuations.-Tools Used : Python, Google sheets and Google slides.

  • Innoplexus
    • Germany
    • IT Services and IT Consulting
    • 200 - 300 Employee
    • Knowledge Associate
      • Jan 2021 - May 2021

      - Built AI based Long/short recommendation engine in pharma, biotech stocks by predicting success of clinical trials.- Select stocks based on fundamental and technical analysis, market impact modelling and assessing underlying risks.- Major contribution in research work and publishing a whitepaper, "Clinical Trial-related News Shows Correlation with High Return Events on the Stock Exchange for Pharma & Biotech Companies."- Tools used - Python, Google sheets, Google slides, Google docs. Show less

    • Junior Knowledge Associate
      • Dec 2019 - Dec 2020

      - Contributed in building and deployment of data that account for varied client context such as predicting, analyzing and optimizing clinical trials.

    • Data Analyst - Intern
      • May 2019 - Nov 2019

      Analyzed and presented backtested data related to stock price movements of pharma/biotech companies on their clinical trials readouts/results.

Education

  • Delhi University
    B.com (Hons), Accounts and Finance
    2016 - 2019
  • Institute and Faculty of Actuaries
    CT-1, Financial Mathematics
    2017 - 2018

Community

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