
Satyam Kulkarni
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Satyam Kulkarni
- 1 Jahr, Juni 2023 - Mai 2024
Data Scientist
AlmaBetter
Developed an Excel dashboard for analyzing movie success factors and a Tableau dashboard for manufacturing trends. I also applied predictive analytics on bank data using Hadoop, Hive, and PySpark, and built deep learning models for facial emotion recognition and e-commerce CSAT score prediction. Implemented a time series model to forecast HDFC Bank stock prices and conducted exploratory data analysis (EDA) to identify churn drivers in the telecom sector.
- 2 Jahre und 3 Monate, März 2021 - Mai 2023
CAE Engineer
CAE Services
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.
Ausbildung von Satyam Kulkarni
- Bis heute 2 Jahre, seit Juli 2023
Computer Science
Woolf (Recognised under EQF)
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.
- 4 Jahre, Juni 2016 - Mai 2020
Mechanical Engineering
University of Pune
Developed MATLAB program for automating iterative calculations, enhancing design efficiency for BAJA vehicle gearbox.
Sprachen
Deutsch
Grundlagen
Marathi
Muttersprache
Englisch
Fließend
Hindi
Fließend
Sanskrit
Gut
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