Rashmi Panse

Experience

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  Intact

  May 2019 - Aug 2019

  Accounts Receivables Summer Intern

  • 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 to direct payments • Updated banking information while also amending payment schedules• Maintained files and records to remain up to date and easily accessible

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  Aon

  Jun 2020 - Aug 2020

  Associate Reinsurance Intern

  • 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 created summarized file including company valuations for all existing and prospective clients • Assisted in the preparation of reinsurance market proposals

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  Aviva

  Jan 2021 - Apr 2021

  Data Science Intern

  • Conducted research project to improve pricing model predictions by testing 200 features using Python data analysis tools (Pandas, Numpy, Matplotlib, Scikt-learn) testing for significance, increasing accuracy by 10%• Transformed large datasets using KNN clustering, binning and heat maps into meaningful insights with machine learning processes (ex. decision trees) and test-driven decision making• Utilized Python to independently implement 10 tickets to increase efficiency and performance of model delivery pipeline through optimization of data structures Show less

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  Sun Life

  May 2021 - Aug 2021

  Actuarial Analyst Intern

  •Independently performed various routine tasks on weekly and monthly basis involving interest calculations, financial metrics and data manipulation in Microsoft Access and Excel•Contributed to the development of recurring tasks by creating and editing queries in SQL •Improving documentation to minimize the amount of time used (ex. Reduced 1 week process to 2 days) •Regularly led team huddles and discussions regarding processes improvement •Actively participated in Student Social Committee through social media management Show less

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  RBC

  May 2022 - Dec 2022

  Data Analyst Intern

  • Led data engine transformation project in R to process stochastic simulations of claims data producing interest tolerance range thereby reducing processing time by 50% and increasing accuracy• Created 10+ visualizations using Python data science libraries (Plotly, Numpy, Pandas, Scikt-learn) to display claims data in Streamlit web app, resulting in efficient and flexible data analysis tool used by team of 20• Created scripts for data preprocessing in R to automate claims data collection and extract valuable information, thereby eliminating 70% of manual checks and providing greater data usability• Regularly produced and analyzed 15+ financial metric calculations in SQL and Excel to ensure financial business goals are met Show less

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  McMaster University

  Sept 2022 - Apr 2023

  Machine Learning Research Assistant

  • Led machine learning research on 500+ surveys to extract insights from student course evaluation survey data with the aim of enhancing teaching methods of lecture-based courses• Leveraged data science tools such as tidytext and ggplot R packages to perform NLP and thematic analysis on 1000+ open text responses• Researched relationships between 10+ themes and 20+ sentiments • Began building application for insight visualization and recommendation summary, with aim of providing user friendly accessibility to insights for Professors and Teaching Assistants Show less

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  How We Feel

  Oct 2023 - now

  Machine Learning Engineer

  • Applied causal inference techniques, developed churn prediction model to improve retention and performed K-Means clustering to analyze user behavior, resulting in insights expected to save $100k in marketing spend YoY. • Built recommender system using PyTorch framework and deployed to GCP Cloud Run, to improve personalized user experience (UX) by recommending in-app tools, expected to increase user engagement by 30%.• Transformed data infrastructure by implementing ETL pipelines from MixPanel to Google Cloud database, handling and querying 100,000+ event records in BigQuery SQL and saving over 100 hours yearly. Show less