Het Kiritbhai Solanki Portfolio

Customer Churn Prediction System

This project analyzes customer churn using the Telco_customer_churn_csv dataset to identify factors causing customer attrition. By leveraging Python libraries and a Jupyter Notebook, it provides insights into churn drivers and achieved a 90% accuracy with a machine learning model. Key findings include competition, service issues, and dissatisfaction as major churn factors, with contract type, tenure, and monthly charges being crucial predictive features.

View Project

Real-time Data Pipeline for E-commerce Analytics

Designed and implemented a scalable real-time data pipeline with Apache Kafka, Spark, and Cassandra to process e-commerce transaction data, developed ETL processes for diverse data sources, and enabled real-time analytics, improving inventory management and dynamic pricing by 30%.

View Project

Flight Delay Prediction

Analyzed historical flight data and weather conditions to achieve 85% prediction accuracy for flight delays, engineered key features to reduce passenger wait times by 15%, and deployed a real-time delay prediction system with Flask and AWS Lambda, enhancing airline operations and customer satisfaction.

View Project

My Skills

Database Management

Programming Languages

Data Analytics Tools

Machine Learning & Automation

Project Management

Soft Skills

My Professional Experience

Projects

Here's all the stuff I do.

Customer Churn Prediction System

Real-time Data Pipeline for E-commerce Analytics

Flight Delay Prediction

Find me on...