Projects

Description: A real-time data pipeline designed to process and analyze streaming data from IoT devices in a smart city project. Tools Used: Apache Kafka, PySpark, Azure Data Factory, Azure Databricks, Azure Snaps Analytics Project Goal: Enable real-time analytics and decision-making with continuous data streams.

Description: This project focused on building time-series models to predict sales for a retail company, improving inventory management. Tools Used: Python, ARIMA, Excel, Matplotlib, Seaborn, Power BI Project Goal: Predict future sales to optimize stock levels and pricing.

Description: A machine learning project aimed at segmenting customers based on purchasing behavior to improve marketing strategies. Tools Used: Python, Scikit-learn, Pandas, Numpy, Matplotlib, Seaborn, Powewr BI Project Goal: Enhance customer targeting using machine learning techniques.