Passionate and motivated Developer with a Masters degree in Computer science at the University of Missouri Kansas City, with experience and interest in Software Development, Machine Learning, and Data Analysis.
Flexible and Adaptable in regards to new technologies and environments. Worked as a Graduate Research Assistant, where I • Collaborated in designing a novel predictive model to reflect the self-representation of users on platforms like Facebook and Twitter.
Also worked as a Full-stack Developer at a company where I gained experience in building new applications using Java/ J2EE environment. Built web-based application for the sales managers and dealers, to track their annual progress of car sales and enhancing my duties as a Full Stack Developer.
Compatible with Angular and React technologies. Also, have hands-on Spring Framework. Highly comfortable with advanced SQL, PL/SQL, and experience in performing ETL (Extract, Transform, Load) operations on data from various sources.
Topic Sentiment Trend Detection and Prediction for Social Media : Opioid Crisis | #topic Trend Detection