Projects

A collection of my data science projects, research work, and technical explorations.

Predictive Analytics Dashboard

A real-time analytics platform for forecasting business metrics using machine learning algorithms. The dashboard provides interactive visualizations and actionable insights for decision-makers.

Machine LearningData VisualizationPythonReactTensorFlow
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NLP Research Project

Advanced natural language processing techniques for sentiment analysis and text classification. This research project explores state-of-the-art transformer models for understanding customer feedback.

NLPDeep LearningPyTorchBERTTransformers
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Customer Segmentation Analysis

Developed a customer segmentation model using clustering algorithms to identify distinct customer groups based on purchasing behavior and demographics.

ClusteringK-meansPythonScikit-learnData Analysis
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Time Series Forecasting Model

Built a time series forecasting model to predict stock prices and market trends using ARIMA, LSTM, and Prophet models. The project includes comprehensive evaluation metrics and visualization tools.

Time SeriesLSTMProphetFinancial AnalysisPython
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Recommendation System

Designed and implemented a collaborative filtering recommendation system for an e-commerce platform, resulting in a 15% increase in user engagement and sales.

Recommendation SystemsCollaborative FilteringPythonMatrix Factorization
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Anomaly Detection System

Developed an anomaly detection system for identifying fraudulent transactions in financial data using isolation forests and autoencoders.

Anomaly DetectionFraud DetectionDeep LearningTensorFlow
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