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Mili ShethMS
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Mili Sheth

@milisheth

Product-focused Computer Science engineer building scalable Cards & Payments products with AIML, analytics, and Agile delivery.

India
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What I'm looking for

I’m looking for a product-focused role where I can combine AIML and analytics with customer-centric delivery—owning requirements, improving payment workflows, and partnering cross-functionally to solve real problems and scale digital products.

I’m a product-focused Computer Science engineer specializing in AIML, data analysis, and product ownership for the Cards & Payments domain. I’ve supported end-to-end merchant onboarding and payment workflows, while translating customer needs into clear requirements through agile/Scrum practices like user stories and product backlogs.

I bring hands-on analytical and automation experience from internships and a fellowship—ranging from cybersecurity fundamentals and threat analysis to data analysis and product insight work. I’m proficient in SQL, Excel dashboards, Python, and product research, and I enjoy cross-functional collaboration to resolve issues quickly, map requirements accurately, and ship solutions that scale.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

AM

Amity University, Mumbai

Bachelor of Technology (B.Tech), Computer Science Engineering (AIML)

2021 - 2025

Grade: 9.01 CGPA

Activities and societies: Member, Google Developer Students Club (GDSC) in Competitive Coding; Member of IEEE (2024); Member of GDSC in Creative & Social Media Handling; Participated in startup idea and worked on two startups (2022–2023).

Completed a B.Tech in Computer Science Engineering with a focus on AIML at Amity University, Mumbai (2021–2025).

SX

Shakti School XII

Higher Secondary (XII), General Education

2019 - 2021

Grade: 80%

Completed XII at Shakti School in Rajkot (2019–2021).

SS

Saint Mary's School

Secondary (X), General Education

2007 - 2019

Grade: 82%

Completed X at Saint Mary's School in Rajkot (2007–2019).

Tech stack

Software and tools used professionally

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