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Assessing your cultural and operational fit
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Data Scientist
June 25, 2026 – Present
Option-IV-Prediction
May 23, 2026 – Present
This repo contains the code and short intuition behind the final two submissions on the outsample data in the NIFTY Options IV Surface Reconstruction Challenge hosted by Finance Club, IIT Roorkee.
View Projectpoker-tournament_backtester
March 4, 2026 – Present
tournament backtester for iit pokerbots 2026 [round-robin]
View Projectbacktestbrewery.github.io
September 8, 2025 – Present
backtestbrewery.github.io — GitHub repository
View ProjectMoving-Averages-as-Support-Resistance
May 28, 2025 – May 29, 2025
I tested various Moving Averages and their lookback periods to find empirical evidence supporting the idea that Moving Averages act as support and resistance levels in NIFTY 50 data.
View ProjectBasic-Stock-Recommendation-Algorithm
December 21, 2024 – December 21, 2024
Submission for the Returns Quant Innovators Challenge 2024
View ProjectBTC-Synergy-Optimized-Trading-Strategy
October 17, 2024 – October 20, 2024
Sophisticated TA-driven weighted strategy system delivering high risk optimized returns on BTC daily time frame.
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on quantitative finance and trading strategies, which aligns well with roles requiring strong analytical and problem-solving skills in a data-driven environment. The diversity of projects, while all within a similar domain, shows initiative and a proactive approach to learning and application. However, the lack of team-based projects or diverse industry applications limits the assessment of broader cultural fit beyond a specialized technical role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.