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Vishesh U ParmarVP
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Vishesh U Parmar

@visheshuparmar

Finance analyst building data-driven investment, valuation, and risk models.

India
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What I'm looking for

I’m looking for a finance role where I can build valuation and investment models, run rigorous analysis (forecasting, event studies, hypothesis testing), and collaborate with mentors to grow my expertise in markets and decision-making.

I’m a Finance-focused MBA candidate who turns complex data into actionable decisions through investment research, forecasting, and valuation. I’ve built financial models and investment reports, supported pre-IPO and SME IPO work with senior management, and strengthened my decision-making through both fundamental and technical analysis.

I also combine quantitative analysis with business impact—engineering NPV models, running event studies on M&A announcements, and applying an OLS market model with hypothesis testing (paired two-tailed t-tests). From hands-on Python analytics (NumPy, Pandas, Matplotlib, Tableau) to certifications like JP Morgan Chase’s virtual investment banking program and advanced financial modelling, I’m eager to deliver rigorous insights and clear recommendations in a high-ownership finance role.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

University of Delhi logoUD

University of Delhi

Master of Business Administration, Finance

Grade: CGPA 6.71*

Pursuing an MBA in Finance in the Department of Financial Studies at the University of Delhi, with CGPA 6.71* (as provided).

Sardar Vallabhbhai National Institute of Technology logoST

Sardar Vallabhbhai National Institute of Technology

Bachelor of Technology

Grade: CGPA 7.58

Activities and societies: Internships/projects include financial research and modeling for investment decisions (Greenflow Ventures), assisting ONGC in key financial operations and vendor data management, and building an NPV model for rig-related job assessment; also coursework in data analytics/forecasting and event study methodology.

Completed a B.Tech program at Sardar Vallabhbhai National Institute of Technology with CGPA 7.58 (as provided).

CE

CBSE (Board Examinations)

Higher Secondary Certificate

Grade: 86.80%

Completed HSC (CBSE) with 86.80% in 2019 (as provided).

CE

CBSE (Board Examinations)

Secondary School Certificate

Grade: 9.8

Completed SSC (CBSE) with 9.8 in 2017 (as provided).

Tech stack

Software and tools used professionally

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