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  • Seattle, Washington

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vishwapardeshi/README.md

Hi there ๐Ÿ‘‹ I'm Vishwa Pardeshi, Data Scientist at Fidelity.

I'm open to full-time opportunities beginning in 2021 in the following areas. Reach out to me @ pardeshi.vishwa25_at_gmail.com if you would love to learn more about my interests.

My Area of Interest/Expertise:

  1. Natural Language Processing
  2. Data Science - A/B Testing, Statistics, Visualizations
  3. Machine Learning
  4. Software Development

Work Experience:

  • Data Scientist @ Fidelity Investments
  • Text Mining Specialist @ UW eScience
  • AI/NLP Fellow @ Giving Tech Labs
  • Data Scientist @ UW Medicine
  • Tech Analyst Intern @ Credit Suisse

Education:

Masters of Science in Data Science @ University of Washington (UW), Seattle

Bachelors of Engineering in Computer Engineering @ University of Mumbai, Sardar Patel Institute of Technology (Dean's Gold Medalist)

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  1. MarketOwl MarketOwl Public

    Tool for Portfolio Managers to track market, industry sentiment and credibility trends for S&P 500 companies

    Python 3 1

  2. Text_Classification_US_Presidential_Nominees_2020 Text_Classification_US_Presidential_Nominees_2020 Public

    Supervised and semi-supervised text classification of quotes from Democratic Presidential Nominee for US 2020. Used Regularized Logistic Regression, XGBoost, Random Forest

    Jupyter Notebook 1

  3. COVID-19-Hackathon-Twitter-Sentiment-Analysis COVID-19-Hackathon-Twitter-Sentiment-Analysis Public

    The repository contains the Winning Submission for the online Hackathon at University of Washington, Seattle.

    Python

  4. Machine-Learning-Projects Machine-Learning-Projects Public

    Contains machine learning mini-projects in Python & R

    Jupyter Notebook

  5. Profitable-Sequential-Recommendation-using-Market-Basket-Analysis Profitable-Sequential-Recommendation-using-Market-Basket-Analysis Public

    Developed Product Basked Network using Market Basket Analysis to recommend a profitable promotion campaign for each market segment.