B.E. (Hons.) Electrical and Electronics Engineering from BITS Pilani. Research interests include Network on Chip, hardware IP security & computer architecture.
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BITS Pilani, Pilani Campus
Data Scientist
June 12, 2026 – Present
dynamic-maze-challenge
December 18, 2025 – Present
A Python maze game with AI Director system that dynamically adjusts difficulty based on player performance. Features procedural generation, terrain physics (mud/ice), and smooth difficulty scaling using performance metrics.
View Projectsnake-game
December 16, 2025 – Present
a fun project implementing snake game on different platforms
View Projectmnist-dataset-classification
March 7, 2023 – June 2, 2025
A standard (non-convolution based) neural network to classify the MNIST dataset.
View ProjectArduino-LED-Blinking
December 20, 2022 – December 20, 2022
A basic Arduino Circuit and Code Setup containing two LEDs. One of the LEDs blinks at an interval of 2 seconds while the other one blinks at an interval of 5 seconds
View Projectcs-f111-cp
October 18, 2022 – March 18, 2023
Basics - Getting Started with coding with C in Linux.
View Projecttkinter-resizing
August 17, 2021 – December 26, 2021
A GUI Window with Tkinter that resizes itself based on user input.
View ProjectQbasic-Calculator
July 15, 2021 – July 15, 2021
A very basic calculator built using Qbasic
View Projectpassword-generator-python
July 6, 2021 – August 17, 2021
Generating Secure Passwords using Python Code
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and diverse, ranging from basic calculators to game development and simple machine learning. While this shows initiative and a broad interest in technology, the depth and relevance to a senior Data Scientist role are limited. The current 'Data Scientist' role listed has a future start date and no associated skills or responsibilities, making it difficult to assess alignment with a senior position. The project diversity suggests a curious individual, but the lack of professional experience or advanced data science projects indicates a potential mismatch for a senior role without significant upskilling.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.