Newark, New Jersey, United States
Passionate about leveraging AI and ML to create innovative and responsible solutions, I specialize in bridging the gap between cutting-edge technology and strategic impact. With a Master's in Computer Science focusing on AI/ML, a portfolio of published research, and hands-on experience as a Business Analyst at McKinsey, I thrive at the intersection of technology and business. At McKinsey, I work with clients across industries to solve complex challenges, particularly in technology and Responsible AI. From developing frameworks for ethical AI to implementing transformative strategies, I bring a deep understanding of both technical intricacies and organizational needs.
Part-time lecturer for the following courses: - CS170 - Computer Applications for Business - CS210 - Data Management for Data Science
Woked on the following project: TopicNow - Automated the IT ticket system to improve the efficiency of solving the issues with minimal manual intervention. - Performed data cleaning on IT tickets data of Novartis and implemented Topic Modelling to get the probabilities of the tickets in a particular cluster. - Developed a user-friendly system to procure the top ‘N’ tickets falling in a particular category or group of categories to reduce the time to solve similar issues. - Deployed the application using Streamlit.
Worked on the following projects: 1) Developed a fuzzy inference system for the project “Smart PAPR (Powered Air Purifying Respirator)” for early risk prediction of Covid-19 2) Designed and built a smart hydroponic farming system that had the following features: - Recommendation of season and location for a crop for maximum yield - Recommendation of the crop turnaround time (harvesting and sowing months) for maximum revenue - Comparison of fruit and vegetable crops on the basis of yield - Automated cultivation of the plant in a semi-controlled environment by manual/automatic control of all the crop parameters: temperature, humidity, light intensity, carbon dioxide, dissolved oxygen, vapour pressure density and electrical conductivity with the help of a custom AI agent - Disease detection using computer vision
Worked on the projects based on the following two modules: 1) Exploratory data analysis 2) Predictive analysis