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Rupa Gangatirkar's work experience includes various roles in the field of data science, AI, and ML. Rupa is the Founder and Chief Idea Officer at Women in AI Hardware, Semiconductor, Data Science. Rupa was previously a Data Scientist and Machine Learning Engineer at eSimplicity, where they focused on fraud detection using AI and implemented ML capabilities for US federal agency's finance programs. Rupa also served as a Lead Machine Learning Engineer and Data Analytics expert, building MLOps pipelines and designing ML models in the healthcare industry.

Rupa has also worked as the Data Science Program Lead and Mentor at Women in Big Data, where they led a team in completing a time-series data-based challenge and played a key role in designing and expanding the technical skill development program. Additionally, they have worked as a Freelance Data Scientist and AI/ML consultant, specializing in NLP, deep learning, and ML model deployment.

Earlier in their career, Rupa held positions as Director of Data Analytics and Product Manager at Centriqe Inc., IoT Data Analyst, and Product Architect at a Stealth Mode Startup Company. Rupa has also worked as an Independent Consultant and Embedded Systems and IoT Enthusiast, as well as in various roles at Intel Corporation, including Staff Silicon Architecture Engineer, Senior Logic Verification Lead, Senior Logic Verification Engineer, and Senior Physical Design Engineer.

Overall, Rupa has a strong background in data science, AI, ML, and IoT, and has experience leading teams and managing projects in these areas.

Rupa Gangatirkar has a diverse education history. Rupa holds a Master's degree in Computer Engineering from the University of Minnesota. In 2018-2019, they pursued a Certificate Program at the University of California, Santa Cruz, focusing on Embedded Systems, Internet of Things (IoT), Hardware System Design, and Advanced Design. In 2019-2020, Rupa furthered their education with another Certificate Program at the University of California, Santa Cruz, this time specializing in Data Analytics, Cloud Computing, Big Data, and Machine Learning.

In addition to their formal education, Rupa obtained various certifications to enhance their skill set. Rupa earned a certification in Deep Learning, Natural Language Processing (NLP), and Distributed Machine Learning from Magnimind Academy in April 2021. Rupa also received certifications in Database and Data Analytics from the University of California, Santa Cruz in March 2020, and in Embedded Systems from the same institution in November 2019. Rupa further expanded their knowledge by obtaining a certification in Internet of Things: Roadmap to A Connected World from the Massachusetts Institute of Technology in January 2017. Rupa also holds certifications in Product Management from Udemy (December 2016) and as a Certified SAFe® 5 Practitioner from Scaled Agile, Inc. (October 2021).