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praths007/README.md

Hi there, I'm Prathmesh! πŸ‘‹

About Me

Welcome to my GitHub profile! I'm a data enthusiast who loves turning data into actionable insights. With a strong background in data science and computer engineering, I enjoy tackling complex problems and finding innovative solutions.

  • πŸ”­ Currently at Visa Inc. as a Staff Data Scientist
  • 🌱 Always learning, currently diving deeper into advanced machine learning, GenAI and optimization
  • πŸ‘― Open to collaborating on exciting data science and machine learning projects
  • πŸ’¬ Feel free to ask me about Python, MLOps, GenAI and all things machine learning
  • πŸ“« Reach me at: prathmesh.savale@utexas.edu
  • ⚑ Resume

Experience

  • Developed GraphRAG based conversational AI
  • Developed sales forecasting framework and causal discovery models for simulations
  • Created model-agnostic tools for impact analysis
  • Devised customer cohorts using unsupervised learning
  • Developed LLM-based chatbots for KPI dashboards
  • Conducted Bayesian A/B testing to increase retention rates
  • Enhanced operational efficiency using LSTM networks
  • Developed text classification frameworks for finance
  • Predicted device failures using tree-based ensembles
  • Mentored team on LookML and statistics; collaborated with VP-level stakeholders

Skills

Programming Languages

Python PySpark R SQL Bash

Libraries & Frameworks

numpy pandas Scikit-learn Keras Langchain

Tools & Platforms

Docker Elastic Search DataBricks Git Looker Airflow AWS Jenkins JIRA

Education

The University of Texas at Austin
Master of Science, Business Analytics, 3.7 GPA
Coursework: Advanced Machine Learning, Optimization, Deep Learning, Unstructured Data Analytics

University of Pune
Bachelor of Engineering, Computer Engineering, First Class with Distinction, 3.8 GPA
Coursework: Database Management Systems, Data Structures and Algorithms, Object Oriented Programming

Connect with Me

Pinned Loading

  1. cascading_classifiers cascading_classifiers Public

    Implementation of ensemble learning to reduce false positives

    R

  2. dabl/dabl dabl/dabl Public

    Data Analysis Baseline Library

    Jupyter Notebook 729 103

  3. praths007.github.io praths007.github.io Public

    portfolio website

    HTML 1

  4. machine_learning_intuition machine_learning_intuition Public

    R scripts to understand nuances of different machine learning algorithms

    Jupyter Notebook

  5. predicting_reddit_post_engagement predicting_reddit_post_engagement Public

    Jupyter Notebook 1 2

  6. stock_recommender_using_reddit stock_recommender_using_reddit Public

    Jupyter Notebook