
BITS Pilani Undergrad
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
cpp-market-systems-lab
June 24, 2026 – Present
An evolving C++ market-systems lab, currently implementing a multi-file market-data analytics CLI and progressing toward an order book and matching engine.
View ProjectCAPM_BetaEstimation_Final
June 1, 2026 – Present
CAPM_BetaEstimation_Final — GitHub repository
View ProjectAcademicPerformanceMLRFinal
June 1, 2026 – Present
Final notebook-based multiple linear regression project for academic performance.
View ProjectVolatilityTradeStrategyFinal
June 1, 2026 – Present
Volatility targeted trading strategy on NIFTY 50
View ProjectSimple-Linear-Regression-Model
February 7, 2026 – Present
Linear regression project analyzing a 1500+ entry Indian car dataset to understand how engine size, cylinders, and fuel consumption impact CO2 emissions. Includes EDA, detailed visualizations, model training, testing, and performance evaluation using MAE, MSE, RMSE, R2, and scikit-learn for practical ML learning.
View ProjectShutdown
December 5, 2020 – December 5, 2020
avoid 3 steps of shutdown by clicking on one python program
View ProjectPasswordGenerator
November 18, 2020 – November 18, 2020
PasswordGenerator — GitHub repository
View ProjectSimple-Map-Generator
October 16, 2020 – June 19, 2021
Simple-Map-Generator — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards quantitative analysis and programming, which aligns with the analytical nature of a Data Scientist role. However, the projects are predominantly personal and lack team collaboration indicators. The diversity of projects, including web development (HTML, CSS, JavaScript) and C++, suggests a broad interest but also a potential lack of deep specialization in core data science areas.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.