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Rashmi Panse profile image

Rashmi Panse

Data Scientist at How We Feel
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Data Scientist with expertise in machine learning and data analysis
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Location
San Francisco, California, United States, US
Languages
  • English -
  • Marathi -
Skills
  • Microsoft Office
  • Sales
  • Strategic Planning
  • Javascript
  • Data Analysis
  • Show all
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Bio

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Rashmi Panse is a seasoned data scientist with expertise in machine learning, data analysis, and strategic planning. She has 9 months of experience as a Data Scientist at How We Feel, where she worked on projects like AB testing, churn prediction, and recommender systems. Rashmi holds a Master of Science degree in Data Science from the University of San Francisco and has completed various certifications in data science and actuarial science.

Credentials

  • Data Science Foundations Specialization
    Coursera
    Dec, 2021
    - Apr, 2026
  • Python for Data Science and AI
    Coursera
    Dec, 2021
    - Apr, 2026
  • Statistics for Data Science with Python
    Coursera
    Dec, 2021
    - Apr, 2026
  • Databases and SQL for Data Science
    Coursera
    Oct, 2021
    - Apr, 2026
  • Python Project for Data Science
    Coursera
    Oct, 2021
    - Apr, 2026
  • IBM Tools for Data Science
    Coursera
    Jul, 2021
    - Apr, 2026
  • Exam FM
    Society of Actuaries
    Jun, 2021
    - Apr, 2026
  • Exam P
    Society of Actuaries
    Jul, 2020
    - Apr, 2026
  • Bloomberg Market Concepts
    Bloomberg LP
    Dec, 2019
    - Apr, 2026

Experience

  • How We Feel
    • San Francisco Bay Area
    • Data Scientist
      • Oct 2023 - Present
      • San Francisco Bay Area

      Projects • AB testing and experimentation for retention improvement• Built churn prediction model • Developed and deployed recommender system using PyTorch to improve personalized user experience • Implemented ETL pipelines from MixPanel to BigQuery storage

  • McMaster University
    • Hamilton, Ontario, Canada
    • Machine Learning Research Assistant
      • Sep 2022 - Apr 2023
      • Hamilton, Ontario, Canada

      • Extracted insights from student course evaluation survey data with the aim of enhancing teaching methods of lecture-based courses• Leveraged tidytext, ggplot, and dplyr R packages to perform NLP and thematic analysis on 1000+ open text responses• Researched relationships between 10+ themes and 20+ sentiments using TFIDF framework

  • RBC
    • Data Analyst
      • May 2022 - Dec 2022

      Projects • Data engine transformation project • Created 10+ visualizations to display claims data in Streamlit web app• Automated data collection, preprocessing and insight extraction with custom functions/classes in R• Regularly produced and analyzed 15+ financial metric calculations in SQL and Excel to ensure financial business goals are met

  • Sun Life
    • Toronto, Ontario, Canada
    • Actuarial Analyst
      • May 2021 - Aug 2021
      • Toronto, Ontario, Canada

      Projects • Data manipulation and financial metric calculations using Microsoft Access and SQL • Automated recurring tasks by creating and editing queries in SQL • Improved various documentations• Regularly led team huddles and discussions regarding processes improvement • Social media management for Sun Life student social committee

  • Aviva
    • Markham, Ontario, Canada
    • Data Scientist
      • Jan 2021 - Apr 2021
      • Markham, Ontario, Canada

      Projects• Experimented with 200 new features to improve pricing model predictions • Transformed large datasets into meaningful insights using KNN clustering, binning and heat maps• Optimized data structure to improved model delivery pipeline

  • Aon
    • Toronto, Ontario, Canada
    • Associate Reinsurance Intern
      • Jun 2020 - Aug 2020
      • Toronto, Ontario, Canada

      Projects • Worked with actuaries, catastrophe modellers, capital advisory and broking professionals in servicing and prospecting clients• Assisted in the technical analysis of client data/information• Built automated data tracking sheets on Excel for efficient loss data collection• Conducted market research and summarized company valuations for all existing and prospective clients • Prepared reinsurance market proposals

  • Intact
    • Toronto, Canada Area
    • Accounts Receivables Summer Intern
      • May 2019 - Aug 2019
      • Toronto, Canada Area

      • Supported the Accounts Receivables & Payment processing activities with key external and internal stakeholders• Prepared and managed payments for the automated application system for the Direct Bill Accounts Team • Investigated and researched missing information for direct payments • Updated banking information and amended payment schedules• Maintained files and records

Education

  • 2023 - 2024
    University of San Francisco
    Master of Science - MS, Data Science
  • 2018 - 2023
    McMaster University
    Mathematics & Statistics, Actuarial Science
  • 2014 - 2018
    St. Marcellinus Secondary School
    High School Diploma

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