Tabish F.
About Tabish F.
Tabish F. is a Senior ML Engineer at Bosch Global Software Technologies, where he has worked since 2023. He holds an Executive MBA in Data Science and Business Analytics and has a background in marketing and analytics.
Current Position at Bosch Global Software Technologies
Tabish F. currently holds the position of Senior ML Engineer at Bosch Global Software Technologies. He has been in this role since 2023, contributing to various machine learning projects in a hybrid work environment. His responsibilities include developing and implementing machine learning models to enhance the company's technological capabilities.
Previous Experience in Data Analysis
Before his current role, Tabish worked as a Data Analyst at Bosch Global Software Technologies from 2021 to 2023. In this position, he focused on analyzing data to support decision-making processes and improve operational efficiency. His experience in data analysis laid a strong foundation for his transition to machine learning engineering.
Education and Expertise in Data Science
Tabish holds an Executive MBA in Data Science and Business Analytics from the Great Lakes Institute of Management. He also earned a Post Graduate Diploma in Management with a focus on Marketing and Analytics from Pune Institute of Business Management. His academic background provides him with a robust understanding of data-driven decision-making and analytics.
Internship Experience in Brand Analysis
In 2019, Tabish completed an internship at Perfetti Van Melle as a Brand Analysis Trainee. This role involved analyzing brand performance and market trends, contributing to strategic marketing decisions. Additionally, he interned at Godrej Properties Limited, focusing on footfall and conversion data analysis in 2018.
Undergraduate Studies in Commerce
Tabish earned a Bachelor of Commerce (BCom) degree from Tilka Manjhi Bhagalpur University, where he studied Accounts and Statistics. This foundational education equipped him with essential skills in financial analysis and statistical methods, which are applicable in his current and previous roles.