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sai krishnaSK
Looking for a job

sai krishna

@saikrishna22

I'm a finance professional applying FinTech and data insights to financial challenges.

India
Message

What I'm looking for

I'm looking to apply my FinTech, financial analysis, and data-driven problem-solving skills to financial challenges while contributing to the strategic growth of a forward-thinking institution.

I'm pursuing a PGDM in Finance with FinTech at Ashoka School of Business, focused on financial services, digital banking and payments, financial crime, AML, financial analytics, and AI applications in banking and fraud detection.

During my finance internship at Mamo Pay, Dubai (UrekaGroup, UK), I supported market research, competitor and investment-document compilation, and fintech trend research for business development. I've also coordinated with 60+ companies through the placement cell, supporting placement outreach and student engagement.

My academic work includes analysing ELSS mutual funds against the Nifty 50 and building a CRED Credit Engine dashboard to examine loan portfolio risk, defaults, debt-to-income ratios, credit grades, and loan purposes. I use financial analysis, data visualisation, reporting, Power BI, Bloomberg Terminal, and Tally ERP 9 to support informed financial decisions.

Experience

Work history, roles, and key accomplishments

MP

Finance Intern

Mamo Pay

Jun 2025 - Jul 2025 (1 month)

Assisted in gathering data and preparing basic reports to support market research activities. Supported the team in compiling competitor information and investment-related documents, and contributed to research on fintech trends.

Education

Degrees, certifications, and relevant coursework

AB

Ashoka School of Business

PGDM, Finance

2024 -

Grade: 80%

Pursuing a PGDM in Finance with FinTech, covering financial services, digital banking, payments, financial crime, and AI applications in banking and fraud detection.

KC

Keshav Memorial Institute of Commerce

B.Com (Honours), Commerce

2021 - 2024

Grade: 78%

Completed B.Com (Honours) with an aggregate of 78%.

Tech stack

Software and tools used professionally

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