Lokesh Borkar

Product

2023 - 2024

Investment Professional

2022 - 2022

Product Manager

2020 - 2022

Risk Analyst

2018 - 2019

Public Policy Analyst

2018 - 2018

Delegate - Asia Investment Banking Conference

2017 - 2017

Selected as one of the 15 Delegates from India to attend the AIBC Conference from 5th - 7th September 2017 1) Worked on a Merger and Acquisition Case study to increase the valuation of a FMCG firm by acquiring another FMCG 2) Participated in Sales and Trading Competition (both buy side as well as sell side) Organised by Amplify Trading 3) Prepared an Investment report on the hotel Industry analyzing risks, catalysts and key drivers under the market cap of USD 1 billion

Summer Analyst

2017 - 2017

1) Developed a classification model with machine learning to display two contours on (Price-SAR) vs MACD plane each indicating bullish and bearish indications with an accuracy of 80% 2) Explored the theory and working of Ichimoku clouds , Elliot wave theory , SAR , MACD , EMA 5/20/50 , Fibonacci retracements for support and resistance and applied them into live markets 3) Collaborated with my mentor to trade with an ADVT of 45000 crore volume and average ROR of about 1.5 lakhs.

Internship

2016 - 2016

1)Developed and Implemented Algorithm to process Raw Data and obtain the Real Efficiency of the Distribution Firms 2) Used Regression models for the imputation of the month wise Raw data 3) Audited Sundry Entries using Normal Distribution Curves to check minimum cases for 80% confidence intervals

Summer Internship

2016 - 2016

1)The Proposed plan if integrated in the power cycle had a potential of saving approximately 42.5 million rupees per year on single power plant by reducing the outage time of condenser 2)Reduced the human labor required for condenser by 90% through automation of condenser cleaning process 3)Analyzed weekly production of electricity and optimized factors which affect the production rates 4)Analyzed the work flow of condenser and re-engineered the entire process