Pranav Srinivasan

Quantitative Trading Intern at Kershner Trading Group
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Contact Information
us****@****om
(386) 825-5501
Location
Austin, Texas Metropolitan Area
Languages
  • Tamil Native or bilingual proficiency
  • English Native or bilingual proficiency
  • Spanish Limited working proficiency

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Credentials

  • Bloomberg Market Concepts
    Bloomberg LP
    Jan, 2022
    - Nov, 2024
  • Deep Learning Specialization
    Coursera
    Mar, 2020
    - Nov, 2024
  • Machine Learning
    Coursera
    Jul, 2019
    - Nov, 2024

Experience

  • Kershner Trading Group
    • United States
    • Financial Services
    • 1 - 100 Employee
    • Quantitative Trading Intern
      • Jun 2022 - Present

      Quantitative Trading and Research Quantitative Trading and Research

  • Texas Blockchain
    • United States
    • Software Development
    • 1 - 100 Employee
    • Portfolio Analyst
      • Jan 2022 - May 2022

      Machine-Learning based Portfolio Optimization

    • Quantitative Researcher
      • Aug 2021 - May 2022

      Applying reinforcement learning techniques to signal generation across asset classes;

  • Opal, llc.
    • United States
    • Online Audio and Video Media
    • 1 - 100 Employee
    • Software Engineering Intern
      • Sep 2021 - Mar 2022

      Full-Stack Engineering on the Gamification Team Full-Stack Engineering on the Gamification Team

  • The University of Texas at Austin
    • United States
    • Higher Education
    • 700 & Above Employee
    • Undergraduate Machine Learning Researcher
      • Aug 2021 - Dec 2021

      Researched GAN-based Geospatial Image Reconstruction with Bayesian Optimization under Professor Jose Meijia; Paper in development. Researched GAN-based Geospatial Image Reconstruction with Bayesian Optimization under Professor Jose Meijia; Paper in development.

  • Dermanostix
    • Medical Device
    • President
      • Aug 2020 - Jun 2021

      Established and directed partnership initiatives with the 1517 Fund, Baylor Scott & White, and STEAMism.

    • Co-Founder, Machine Learning Engineer
      • Aug 2019 - Jul 2020

      Developed a novel computer vision web-framework to detect and diagnose skin cancer in real-time, published in the 2020 IEEE International Conference on Soft Computing and Machine Intelligence.

  • IAMECON
    • United States
    • Research Services
    • 1 - 100 Employee
    • Deep Learning Research Intern
      • May 2020 - Aug 2020

      • Interned in the Machine Learning Models Group to collaboratively develop a NLP text analysis system in Google Colab • Generated text encodings with Sklearn TF-IDF vectorization to create a semantic similarity function between words and collective financial documents • Trained a Bidirectional Stacked LSTM in PyTorch using NLTK, TorchText, GloVe embeddings and SpaCy for document classification; Used Perplexity, F1, and Recall to measure performance • Conceptualized a simplified CNN-LSTM architecture for a cross-platform image captioning system Show less

Education

  • The University of Texas at Austin
    Bachelor's degree, B.S in Computer Science,
    2021 - 2025
  • Westwood High School
    Mathematics and Computer Science
    2017 - 2021

Community

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