Experience

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  Students’ branding and relations cell, iit kharagpur

  Sept 2019 - May 2021

  • Student Member

    Jun 2020 - May 2021

  • Associate Member

    Sept 2019 - May 2020
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  Growth arrow company

  Jun 2021 - Jul 2021

  Equity research analyst

  • Analyzed Cement Manufacturer Company performance by evaluating financial ratios like Debt-equity, Current, & Acid-test for FY 2019-20• Forecasted Financial statements for FY 2022-24 using a revenue model framed with the help of management calls & external market news• Determined that stock is undervalued by 64% by estimating its intrinsic value using Discounted Cash Flow method and Relative Valuation

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  Rw investment advisors

  Jun 2022 - Aug 2022

  Quantitative research analyst

  We developed a hedging strategy with Nifty 50 Put Options for our portfolio in the down-trending market.1) When do we need to hedge? • Analyzed Nifty50 historical data and found that at the time of High PE ratio and Low Volatility, we need to hedge2) How do we going to hedge? • After consideration of various strategies we decided to go with Nifty50 Options • Collected data on the Price of Option, Strike Price, and Underlying Price for Nifty50 options with the help of Python and NSEpy over 21 years • Used Nifty50 Option with various monthly expiries buying them with Nifty50 on a rolling basis in difficult times • Got a CAGR of 12.97%, beating CAGR of 9.62% for a Portfolio that consisted of Nifty50 over the same period of time Show less

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  Iit kharagpur - vinod gupta school of management

  Aug 2022 - Apr 2023

  Research assistant

  Supervisor: Prof. Sujoy Bhattacharya, Vinod Gupta School of Management, IIT KharagpurProject -2Objective:- Prediction of Tail Risk Interconnectedness for the banking industry in the Asia-Pacific region.• Extracted Data of Daily Returns and 6 Macro State Variables like 3 months, 10 year T-bond yields, Interbank Offer Rate for more than 5 countries Initially • Trained GARCH(1,1) model to get data for market volatility • Used LassoNet model that helped to increase the accuracy of prediction by reducing Quntile Loss by 12% than previous best GBM modelProject-1Objective:- Prediction of one month ahead Idiosyncratic Volatility and analysis of IVOl over period of COVID-19 • Collected Daily return data for 770 +firms trading on NSE over period of 10 Year • Used EGARCH model to predict 1 month ahead Idiosyncratic Volatility for each firm.• Analyzed impact of COVID -19 with Fama - French 3 factor model. Show less