My Projects

Project 1

Predictive Maintenance System

Developed a machine learning model to predict equipment failures in manufacturing plants, reducing downtime by 30%.

Python TensorFlow IoT
Project 2

Customer Segmentation Analysis

Implemented unsupervised learning techniques to identify distinct customer segments for targeted marketing campaigns.

Python K-Means PCA
Project 3

Medical Diagnosis Assistant

Built a deep learning model to assist doctors in diagnosing diseases from medical images with 92% accuracy.

Python PyTorch CNN
Project 4

Stock Price Prediction

Created an LSTM-based model to predict stock prices with technical indicators and sentiment analysis from news.

Python TensorFlow NLP
Project 5

Recommendation System

Designed a hybrid recommendation engine combining collaborative and content-based filtering for e-commerce.

Python Surprise TF-IDF
Project 6

Fraud Detection System

Developed an anomaly detection system to identify fraudulent transactions in real-time with 98% precision.

Python Isolation Forest Spark