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1. customer-churn-analytics customer-churn-analytics Public

   End-to-end customer churn analysis using SQL, Python, and Power BI to identify churn drivers and predict high-risk customers using Random Forest.

   Python 1

2. facebook-political-ad-analytics facebook-political-ad-analytics Public

   Large-scale political advertising analytics using PySpark and HDFS to analyze Facebook Ad Library data, including keyword analysis, spending trends, and CPM efficiency.

   Jupyter Notebook 1

3. noise-aware-ml-pipeline noise-aware-ml-pipeline Public

   Noise-aware ML pipeline for large-scale agricultural yield prediction using PySpark and LightGBM, with feature and label noise simulation, mitigation, and distributed training.

   Python 1

4. amazon-global-sales-analytics amazon-global-sales-analytics Public

   Global Amazon sales analytics project using Power BI to analyze 50K+ ecommerce records and uncover sales trends, market performance, and category insights.

   1

5. smart-glass-assistive-vision smart-glass-assistive-vision Public

   AI-powered smart glasses for assisting visually impaired users using computer vision, OCR, speech processing, and braille generation on Raspberry Pi.

   1

6. plant-disease-detection-ml-framework plant-disease-detection-ml-framework Public

   Deep learning and NLP framework for plant disease detection using CNN, Twitter data mining, and concept drift detection.

   Jupyter Notebook 1