Urvashi

A dedicated professional pursuing an M.Tech in Data Science, combining academic expertise with hands-on experience in customer support. Skilled in problem-solving, communication, and handling customer queries efficiently. While working as a Customer Support Executive, developed strong analytical and interpersonal skills, ensuring seamless customer interactions and issue resolution. Passionate about transitioning into data-driven roles by leveraging technical knowledge in data analysis, machine learning, and statistical modeling. Adept at managing multiple responsibilities, demonstrating a proactive approach to learning and applying data science concepts in real-world scenarios.

Stream analytics & processing-  Project Overview: Developed a real-time data analytics pipeline using Amazon Kinesis to process, analyze, and visualize streaming data for a healthcare application. The project aimed to monitor patient health metrics and detect anomalies in real-time.

Deep Learning: Developed a deep learning model to analyze audio features and metadata for identifying and categorizing music tracks on Spotify.  The system models the problem as a Markov Decision Process (MDP) and uses logged
interaction data for offline learning. 

Implementation of a system for sales data analytics using Cassandra NoSQL database for online retail database .