Work and School
Objective is to reduce safety incidents and improve safety culture across manufacturing facilities. I work on leveraging data science, machine learning, and analytics to optimize reporting systems, enhance data infrastructure, and develop predictive insights that facilitate these efforts.
Leveraged large language models to perform sentiment analysis on accounting data.
Analyzed safety event data, created visualizations and presented findings to business stakeholders to support safety improvement intiatives across Giga Factory, Texas. Conducted Job Hazard Analysis for Body and General Assembly Lines of Cybertruck.
Worked on ensuring successful data migration and integration between client's legacy systems and SAP. Created master data, conducted unit testing, system integration testing, brainstormed exception handling scenarios and collaborated with stakeholders to gather business requirements and convert them to technical solutions.
Researched and collected data from online financial sources for MarketSmith India. Developed design documentation and visualization structures to guide the product's data presentation.
Worked on process optimization and quality improvement initiatives for manufacturing operations.
GPA: 3.8/4.0 • Graduate Student Representative, INFORMS Chapter, Northeastern University
Coursework: Product Development, Project Management, Machine Learning, Machine Learning Operations, Database Design and Database Management, Operations Research, Probability and Statistics
GPA: 6.34/10.0 • Member, Department of Controlz ( Event Management and Operations )
Coursework: Engineering Optimization, Energy Management, Business Analysis and Valuation, Supply Chain Management, Behavioral Economics, Principles of Management