Rajat Tyagi Email & Phone Number | Product enthusiast with over 6 years of experience in Product Management, Project Management, Technology Consulting, SDLC. Expertise in building client relations and making a sound, time-critical decisions. Experience of engaging with multi-agency users in the development of complex public sector applications. Exceptional ability to complete multiple complex assignments while consistently exceeding performance initiatives. Core competencies include SQL, Python, Agile Methodology, Business Analysis and documents, Consulting, Product Management, Program Management, Project Management, Collaboration Visualization, CXM, Analytics and intermediate level understanding of Machine Learning and Artificial Intelligence models.

Rajat Tyagi

Product enthusiast with over 6 years of experience in Product Management, Project Management, Techno...
Bengaluru, Bengaluru, India

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Rajat Tyagi’s Location Bengaluru, Bengaluru, India

Rajat Tyagi’s Current Industry Unilever

Rajat Tyagi’s Prior Industry Ey | Vaco Binary Semantics | Sprinklr | Wow Rooms Hospitality

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Assistant Product Manager

2023-05-01 00:00:00 - Present

Senior Consultant

2022-10-01 00:00:00 - 2023-04-01 00:00:00

Product Analyst

2018-11-01 00:00:00 - 2020-10-01 00:00:00

Research & Development Analyst, Machine Learning Services

2017-06-01 00:00:00 - 2018-11-01 00:00:00

Business Development Intern

2016-05-01 00:00:00 - 2016-06-01 00:00:00

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Rajat Tyagi is a Product enthusiast with over 6 years of experience in Product Management, Project Management, Technology Consulting, SDLC. Expertise in building client relations and making a sound, time-critical decisions. Experience of engaging with multi-agency users in the development of complex public sector applications. Exceptional ability to complete multiple complex assignments while consistently exceeding performance initiatives. Core competencies include SQL, Python, Agile Methodology, Business Analysis and documents, Consulting, Product Management, Program Management, Project Management, Collaboration Visualization, CXM, Analytics and intermediate level understanding of Machine Learning and Artificial Intelligence models.