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1. 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

2. 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

3. airbnb-dbt-snowflake-pipeline airbnb-dbt-snowflake-pipeline Public

   End-to-end ELT pipeline using AWS S3, Snowflake, and dbt with Medallion architecture, incremental processing, and SCD Type 2 snapshots.

   Python 1

4. 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

5. 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 2

6. real-time-pothole-detection-android real-time-pothole-detection-android Public

   Real-time pothole detection Android application using computer vision, OpenCV, and native C++ processing. Developed during a designathon that led to an Ericsson internship.

   C++ 1