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  • Joined Jun 15, 2025

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Sapthaharshk/README.md

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πŸ‘‹ Hi, I'm Saptha Harsh

🎯 A passionate Machine Learning Engineer with hands-on experience in building data-driven solutions, training ML models, and deploying them into production. I thrive at the intersection of data, algorithms, and real-world applications.


🧠 About Me

  • πŸ” Specializing in Supervised & Unsupervised Learning, NLP, Computer Vision, and Deep Learning.
  • πŸ“Š Strong foundation in Mathematics, Statistics, and Data Structures.
  • πŸš€ Experienced in building end-to-end ML pipelines, from data wrangling to model deployment.
  • 🌐 Open to freelance & collaborative projects.

πŸ”§ Skills & Tools

🧰 Languages & Libraries

Python NumPy Pandas Scikit-learn TensorFlow Keras PyTorch OpenCV NLTK

πŸ—ƒοΈ Data & Visualization

Matplotlib Seaborn Plotly

πŸ› οΈ Tools & Platforms

Jupyter Google Colab VS Code Git GitHub

☁️ Deployment & APIs

Flask FastAPI Docker Streamlit Heroku


πŸ“ Featured Projects

Project Description Technologies
🫁 Lung Cancer Detection Early detection of lung cancer using a CNN-based classification model to improve survival rates. Python, CNN, Deep Learning
🚢 Pedestrian Detection Real-time pedestrian detection system for autonomous driving applications. Python, Object Detection, Deep Learning
πŸ’¬ Text Sentiment Analysis Scrapes text from websites and performs sentiment classification using NLP. Python, NLP, Web Scraping, Data Wrangling
🌍 Earthquake Prediction Predicts magnitude and probability of earthquakes in a region using historical data and ML algorithms. ML Algorithms, Data Visualization, Tableau
🏘️ LilHomie Predicts house prices using a custom pipeline with web scraping, EDA, and ML in the NY Tri-State Area. Python, Scrapy, Data Engineering, Predictions
🌐 Language Translation Encoder-decoder based language translator app for English to French translation. TensorFlow, Seq2Seq, GUI (Tkinter)

πŸ“Š GitHub Stats:



✍️ Random Dev Quote


πŸ“« Let's Connect


⭐ Feel free to fork, star or contact me for collaborations or freelance opportunities.

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  1. Earthquake-Prediction Earthquake-Prediction Public

    This project aims to predict the magnitude and probability of Earthquake occurring in a particular region using the historic data with various machine learning models to find which model is more ac…

    Jupyter Notebook

  2. Language-Translation Language-Translation Public

    Language Translator App using a many-to-many encoder-decoder sequence model

    PureBasic

  3. LilHomie LilHomie Public

    A Machine Learning Project implemented from scratch which involves web scraping, data engineering, exploratory data analysis and machine learning to predict housing prices in New York Tri-State Area.

    Jupyter Notebook 1

  4. Lung-Cancer-Detection Lung-Cancer-Detection Public

    This application aims to early detection of lung cancer to give patients the best chance at recovery and survival using CNN Model.

    Python

  5. Pedestrian-Detection Pedestrian-Detection Public

    Pedestrian detection for autonomous driving applications

    Jupyter Notebook

  6. Text-Sentiment-Analysis Text-Sentiment-Analysis Public

    Performing text sentiment analysis on numerous websites and determining their text sentiment scores using NLP and python programming.

    Python