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vishal kumarVK
Looking for a job

vishal kumar

@vishalkumar31

I evaluate investments using financial modeling, market research, and data-driven analysis.

United Kingdom
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What I'm looking for

I'm looking to apply financial modeling, diligence, market research, and data analysis in investment-focused roles across venture capital, private equity, public markets, or entrepreneurial investing.

I've supported venture capital, family-office, and client investment decisions through financial due diligence, valuation, and market research. At Apartment Eleven Eleven, I informed INR 80 million in infrastructure capital deployment and screened more than 60 startups across defence, healthcare, and infrastructure.

Previously, I analyzed a $20 million portfolio at Esar Info International and delivered data-backed strategic recommendations at LatentView Analytics using Python, SQL, Excel, and financial dashboards. I'm pursuing an MSc in Finance at LSE and CFA Level III with a focus on private markets.

Experience

Work history, roles, and key accomplishments

AE

Venture Capital Fellow

Apartment Eleven Eleven

Mar 2026 - May 2026 (2 months)

Built investment analysis based on comparable company analysis and fundamental research to inform an 80 million INR capital deployment in an infrastructure startup. Screened 60+ startups and conducted financial due diligence and 50+ founder interviews.

Education

Degrees, certifications, and relevant coursework

London School of Economics and Political Science logoLS

London School of Economics and Political Science

Master of Science, Finance

2026 - 2027

Pursuing a Master of Science in Finance with relevant modules including Mergers, Buyout and Corporate Restructure, Private Equity, Entrepreneurial Finance, and Risk Management.

SRM Institute of Science and Technology logoST

SRM Institute of Science and Technology

Bachelor of Technology, Computer Science and Engineering

2020 - 2024

Grade: 8.63/10 CGPA

Bachelor of Technology in Computer Science and Engineering with a minor in Management Studies, specializing in Artificial Intelligence and Machine Learning, achieving a CGPA of 8.63/10 and ranking in the top 5% of the class.

Tech stack

Software and tools used professionally

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