Satyam Kulkarni

Conducted ANSYS simulations for client structural analysis team Cummins Turbo Technologies, optimizing automotive product designs using Design of Experiments (DoE), reducing computational time and resource usage by 50%. Collaborated with cross-functional teams, delivering technical insights through reports and visualizations; occasionally used SQL and Python for data analysis and machine learning for predictive material analysis.

With specialization in Artificial Intelligence and Machine Learning, pursuing a Master of Science degree worth 90 ECTS credits (2,250 hours of study), recognized at Level 7. Projects: Developed a Power BI dashboard to analyze adverse event reports from the FDA's CFSAN Adverse Event Reporting System (CAERS) dataset, End-to-end machine learning model to forecast retail sales and AI chatbot utilizing Large Language Models (LLMs) to provide personalized financial advice.

Developed MATLAB program for automating iterative calculations, enhancing design efficiency for BAJA vehicle gearbox.