π― 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.
- π Specializing in Supervised & Unsupervised Learning, NLP, Computer Vision, and Deep Learning.
- π Strong foundation in Mathematics, Statistics, and Data Structures.
- π Experienced in building end-to-end ML pipelines, from data wrangling to model deployment.
- π Open to freelance & collaborative projects.
Project | Description | Technologies |
---|---|---|
π« Lung Cancer Detection | Early detection of lung cancer using a CNN-based classification model to improve survival rates. | Python, CNN, Deep Learning |
πΆ Pedestrian Detection | Real-time pedestrian detection system for autonomous driving applications. | Python, Object Detection, Deep Learning |
π¬ Text Sentiment Analysis | Scrapes text from websites and performs sentiment classification using NLP. | Python, NLP, Web Scraping, Data Wrangling |
π Earthquake Prediction | Predicts magnitude and probability of earthquakes in a region using historical data and ML algorithms. | ML Algorithms, Data Visualization, Tableau |
ποΈ 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 |
π Language Translation | Encoder-decoder based language translator app for English to French translation. | TensorFlow, Seq2Seq, GUI (Tkinter) |
- π§ Email: sapthaharsh80@gmail.com
β Feel free to fork, star or contact me for collaborations or freelance opportunities.