Jun 2022 – Aug 2023 · 1 yr 2 mos · Bangalore, Karnataka · On-site

• A
• Quant with responsibility of approving the final rebal trades of every US and Global index. Known of index eligibility criteria for S&P, FTSE, Russell, etc. and their methodologies, rebalance calendars, security eligibility and security-specific
• corporate actions with advanced Ms-Excel macros and tools such as VLOOKUP(), etc.
• Machine Learning - Built a Regression model to analyse historical prices of GDX index in correlation with SPX index
• (S&P500), silver, US Oil and EUR forex rate. Thus prediction of GDX prices for one quarter with accuracy of around 90-95%.
• It helped client in deciding AUM for GDX index depending on predictions and practically increased profits by around 3-5%
• in USD.
• Involved data exploration, data preprocessing, data mining, data cleaning and data visualization (ETL). Increased model
• efficiency and prediction capability by avoiding underfitting and overfitting for a model. Checked with metrics (R-squared
• error) to measure the accurancy of predictions.

Jan 2022 – May 2022 · 4 mos · Remote

• Stock Price Data Feed Analysis (SDE)
• Data Mining, analyzing prices of 2 securities over a time period using Python modules and visualizing it.

Nov 2021 – Dec 2021 · 1 mo · Remote

• Advanced Machine Learning with Python and hands-on experience (Govt of India)

Jul 2020 – May 2021 · 10 mos · IIT Indore

• Swachchha Bharat Abhiyan

Oct 2018 – Dec 2021 · 3 yrs 2 mos · Indore, Madhya Pradesh, India