Harsh Agarwal, Backend Developer @ Students' Union Technical Team.
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Birla Institiute Of Technology and Science.
Data Scientist
June 16, 2026 – Present
IV-Based-Scalping-Strategy
June 22, 2023 – June 22, 2023
IV-Based-Scalping-Strategy — GitHub repository
View ProjectTrend-Follow-Backtesting-CPP
March 31, 2023 – April 4, 2023
Trend-Follow-Backtesting-CPP — GitHub repository
View ProjectFTP-Drive
January 3, 2023 – January 3, 2023
This Project uploads all image files to a google drive and returns sharable links in excel
View ProjectTrend-Follow-Backtesting
April 27, 2022 – March 31, 2023
This is a python script to backtest trend following strategy.
View ProjectAmazon-Seller-Automated-Reviews
August 9, 2021 – August 9, 2021
This is an Python Script to Automate Review Request on Amazon seller account
View ProjectDigit-Recogniser
July 28, 2021 – July 28, 2021
This is a deep learning practice project in which I have created a digit recogniser using Keras. I have used 2D Convolutional Neural Network with RMSProp Optimizer which fetched me around 99.2% accuracy on test dataset. Also visualised results using matplotlib.
View ProjectColab-Timeout
May 24, 2021 – May 24, 2021
Simple Python code to scroll periodically to prevent colab time out
View ProjectCodeForces
June 25, 2020 – August 26, 2020
This project is to filter CodeForces Problemset
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal exploration and learning, particularly in data science, algorithmic trading, and general programming. This indicates a self-starter mentality. However, the lack of team-based projects or professional experience makes it difficult to assess cultural fit in a collaborative work environment. The diversity of projects (web development, scripting, data science) suggests a broad interest, but also a potential lack of deep specialization in a single area relevant to a senior Data Scientist role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and the only listed 'experience' is a future role starting in 2026, which suggests a lack of professional work experience. Project descriptions are brief, limiting insight into collaboration or problem-solving approaches.