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chandramitadutta/README.md

Hi there πŸ‘‹ I am Chandramita

  • πŸ˜„ Pronouns: she/her
  • πŸ‘©β€πŸ’» Engineer, Data Scientist, and Learner.
  • πŸ“š UC Berkeley Alum (2024) - Master's focused in Data Science. 🐻 Go Bears!
  • πŸ€– Current Focus: Exploring how data analytics and machine learning can transform products and user experiences.
  • πŸ› οΈ Skills: Advanced SQL, A/B Testing, Statistics, Data Visualization, and Machine Learning.
  • 🎨 Interests: Merging art, society, and science to create impactful, data-driven solutions. Avid reader (and listener) of data ethics and AI advancements.

Formerly:

  • πŸ“ˆ Product Data Analytics at Bill (2023)
  • πŸ’Ό Data Analytics at Deloitte (2018-2022)
  • πŸ’» Data and Cloud at Microsoft (2017)

Also:

  • πŸ‘©β€πŸ« Graduate Student Instructor at UC Berkeley (2022-2024)
  • πŸ³οΈβ€πŸŒˆ Advocate for gender equity in tech - Leadership Development Program, UC Berkeley. (2023-2024)
  • 🎯 Mentor at "Mentoring Circles" by AnitaB.org (2022)

Popular repositories Loading

  1. Amazon_Pantry_Product_Ranking Amazon_Pantry_Product_Ranking Public

    Predicting the Rank of a Product in Amazon Pantry - EDA, Feature Engineering, Regression Models using Lasso and Ridge Regularisation

    Jupyter Notebook

  2. i247-s23-g3-final-project i247-s23-g3-final-project Public

    Forked from avashadhikari/i247-s23-g3-final-project

    Decoding The Millennial Mindset - A data story using Tableau and Javascript

    JavaScript

  3. chandramitadutta-Forecasting-Hotel-Booking-Fulfillment chandramitadutta-Forecasting-Hotel-Booking-Fulfillment Public

    Optimizing Hospitality: Forecasting Hotel Booking Fulfillment. Techniques used: GridSearchCV, Logistic Regression, Decision Trees, Random Forest, Extra Trees

    Jupyter Notebook

  4. chandramitadutta chandramitadutta Public