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ShrinivasaPH/README.md

Hi there! 👋 I'm Shrinivasa PH

🔍 About Me

I am a passionate Data Science student exploring the vast world of Machine Learning, Deep Learning, and AI. My journey began with a background in Finance & Accounting and later into Product Compliance, and currently into the exciting field of Data Science.

🧠 My knowledge spectrum

  • Machine Learning: Regression, Decision Trees, Random Forest, Ensemble Techniques (Bagging & Boosting), ARIMA (Time Series Analysis)
  • Deep Learning: NLP, Computer Vision, and Audio/Visual Data Processing
  • Data Processing: Handling Missing Values (KNN Imputation), Feature Engineering, PCA, GMM.

🚀 Projects

  • 🤖 Text Summarization App - An intelligent text summarization application powered by Hugging Face's BART model. Capable of processing long-form text and web URLs to generate concise, meaningful summaries.*
  • 🔗 Used Car Resale Value Prediction - Streamlit Web App using Regression.*
  • 🌍 Clustering Countries Project - Applied clustering techniques to group countries based on socio-economic indicators.*
  • More projects coming soon!

📌 Work & Experience

  • Finance & Accounting: Nearly 3 years in Cash Application (HP) & 6 years in Product Compliance (Amazon)
  • Data Science Aspirant: Seeking roles in Data Science, Data Analysis, and Machine Learning while building my GitHub portfolio

⭐ Fun Fact

I love diving deep into philosophy, existentialism, and the meaning of life, while also balancing my interests in music production and technology!

Currently exploring the intersection of Data Science, Music, and Philosophy! 🎶📊💭

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  1. NLP-FAQ-Chatbot-Demo NLP-FAQ-Chatbot-Demo Public

    This project demonstrates how we can use the power of pre trained LLMs to build a custom chatbot based on a limited FAQ details about a site.

    Python 1

  2. NLP-Summarizer NLP-Summarizer Public

    This is a summarizer that: Takes long-form text (e.g., an article or report) Uses a pre-trained transformer model (like facebook/bart-large-cnn) Outputs a concise abstractive summary (Optional) Dep…

    Python 1

  3. ML-Clustering-Countries ML-Clustering-Countries Public

    This project clusters countries based on socio-economic factors using Gaussian Mixture Model (GMM). Input data like child mortality, income, etc., and get a prediction of whether a country is Poor …

    Python 1

  4. Invisible-Cloak Invisible-Cloak Public

    This project demonstrates an Open CV mechanism simulating individual-cloak mechanism.

    PowerShell

  5. Cars24-Resale-ML-Model Cars24-Resale-ML-Model Public

    Streamlit Learning

    Python 1