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After completing my Master's degree in Data Science at UC Berkeley, I am seeking to find a challenging position where I can deliver actionable insights to drive business growth and enhance customer satisfaction. I am passionate about automating data operations to minimize errors and improve system interoperability.

About me:

  • Over 10 years of Experience, highly skilled and results-driven Data Scientist with expertise in churn analysis, NLP for customer reviews and comments, and performing anomaly detection.
  • Expert in mining, extracting, analyzing, visualizing, and presenting data from diverse business areas in insightful ways to persuade senior Executives to take informed actions
  • Enjoys breaking down walls and silos, and building cross functional relationships to facilitate better decision-making.

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How to reach me: peeti.jobs@gmail.com


Here is a showcase of stuff I enjoy working on


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  1. chatbot-rag chatbot-rag Public

    CICD Answering-Question Chatbot for RAG (Retrieval-Augmented Generation) using Streamlit

    Python 1

  2. mlops-timeseries-walmart mlops-timeseries-walmart Public

    An end-to-end machine learning (mlops) project using walmart dataset

    Python

  3. ranking-spotify-EDA-PyTorch ranking-spotify-EDA-PyTorch Public

    This repo is for exploring, cleaning, and preprocessing Spotify's most streamed song dataset from 2024 to build a machine learning model to improve rankings.

    Python

  4. NLP_Sentiment_Analysis_PySpark_PyTorch NLP_Sentiment_Analysis_PySpark_PyTorch Public

    After trying TensorFlow and PyTorch, I want to utilize PySpark which is good for massive dataset

    HTML

  5. NLP_Attention_TensorFlow NLP_Attention_TensorFlow Public

    This repo demonstrates an attention mechanism as an improvement over the encoder decoder-based neural machine translation system

    Jupyter Notebook

  6. text_summarization text_summarization Public

    Showcase of using Summarization and Question Answering with T5

    Jupyter Notebook