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Harshit Gupta

Harshit
Gupta


Intern
Private Equity

London

    


Harshit is an experienced professional with 5+ years of experience in finance, quantitative & derivatives strategies and deal implementation.

Previously, Harshit worked at JP Morgan in the Quantitative and Derivatives Strategies team and spent significant portion of his time developing investment strategies using advanced statistical tools on traditional and alternative data sets. He was a contributing author in the widely-cited book "Big Data & AI Strategies: Machine Learning & Alternative Data Approach to Investing".

He has also worked with India's Central Bank on a stress-forecasting project. Harshit combines his love of data with creative thinking to deliver practical and innovative solutions using a combination of choosing great businesses at reasonable prices and then helping them run efficiently, thereby creating value for all the stakeholders.

At Adan, Harshit is supporting the origination, development, due-diligence and implementation of commercially-oriented PE investment opportunities. He is also involved in the deal evaluation and execution; including financial modelling, preparing reports and analysis of the required transaction documents.

Harshit holds an MBA graduate from London Business School and has completed all three levels of CFA. Harshit also spent a semester at Columbia Business School as part of the Exchange Program. He has a Bachelors and Masters degree in Economics from IIT Kharagpur with a minor in Mathematics and Computing.

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