Pooja Jha

Developed three full-stack modules using React and Flask, serving 1,000+ internal users. Collaborated with US clients to gather requirements and deliver functional features. Led UI/UX improvements across multiple modules, enhancing usability and visual consistency. Recognized as Employee of the Month (June 2025) for outstanding contributions to a warehousing project. Integrated frontend and backend systems for over 15 major features, reducing deployment time by 20%.

Developed and integrated a push notification system using Firebase Cloud Messaging (FCM) tokens for real-time user notifications. Built an automated icon generation feature with AWS (Boto3), reducing manual effort by 15 hours per week. Designed secure dashboard authentication leveraging Kafka and Cassandra, supporting 10,000+ concurrent users.

Analyzed and processed large datasets to extract meaningful insights and patterns. Utilized statistical methods and machine learning algorithms to build predictive models. Developed the "Bengaluru Estate Prediction Model" to forecast real estate prices, applying data preprocessing, feature engineering, and model evaluation techniques.