Deepak Pandey

Deepak Pandey

Automation Program Manager @ Advance Auto Parts

About Deepak Pandey

Deepak Pandey is an Automation Program Manager with extensive experience in software engineering and project management. He holds multiple degrees in computer science, artificial intelligence, and electrical engineering, and has worked with various organizations in the United States and India.

Work at Advance Auto Parts

Deepak Pandey has been serving as an Automation Program Manager at Advance Auto Parts since 2020. In this role, he is responsible for overseeing automation initiatives that enhance operational efficiency within the organization. His expertise in project management and process improvement contributes to the company's strategic goals.

Education and Expertise

Deepak Pandey holds a Master's degree in Software Systems from BITS Pilani, where he studied from 1997 to 1999. He also earned a Diploma in AI and Machine Learning from the International Institute of Information Technology – Bangalore in 2019, and a PG Diploma in ML and Data Analytics from the same institution. Additionally, he has a Bachelor's degree in Electrical and Electronics Engineering from Mysore University, completed between 1992 and 1996.

Background

Deepak Pandey has a diverse professional background with extensive experience in software engineering and project management. He worked at NTT Data Corporation for eight years, holding various positions including Director of Software Engineering and Senior Program Manager. His career also includes roles at Lead IT Corporation, Bakkt, and Caritor Solutions India Pvt Ltd, now known as NTT DATA.

Achievements

Deepak Pandey has demonstrated proficiency in conducting project postmortems and developing actionable recommendations to improve project outcomes. He is skilled in gathering requirements and analyzing business needs, which enables him to align program goals with organizational objectives. His experience encompasses leading teams through various project methodologies, including Waterfall, Agile, and Iterative approaches.

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