
Undergraduate, NIT Trichy | Robotics enthusiast | Robot Learning | Autonomous Driving | Computer Vision
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Carnegie Mellon University
Data Scientist
June 19, 2026 – Present
Power_Flow_Meshed_Network
November 2, 2018 – April 21, 2019
This repository involves the Matlab codes which analyzes load flow in distribution system in mesh network with a defined number of nodes, real and reactive load power consumption at the nodes through the forward-backward load flow algorithm for IEEE 33 bus network.
View ProjectTransformer-Matlab-Simulation
June 27, 2018 – June 27, 2018
This project aims to model the Electrical Transformer using MATLAB coding techniques to obtain the performance characteristics of the Machine. Performance parameters are thus used to predict the condition for maximum efficiency for transfer of power to the load from the transformer. Power Factor of the load is also monitorted, any drop in Power Factor due to increase in inductive load is rectified by using compensation technique, ie. percentage drop in power factor is noted and reduced using a modeled value of compensation capacitors.
View ProjectLane-Detection-for-Autonomous-Navigation-Classical-Method-
June 25, 2018 – June 26, 2018
Lane-Detection for Autonomous Driving using Adaptive Thresholding and various image transforms and filters such as Hough-Line Transform, Canny Filter, and Kalman Filter.
View ProjectCultural Fit Analysis
The candidate's projects show a diverse range of technical interests, from electrical engineering simulations to computer vision and quantum computing. This breadth could indicate adaptability. However, the projects are all personal and lack explicit collaboration or team-based descriptions, making it difficult to assess cultural fit in a team environment. The target role is Data Scientist, and while some projects align, the overall focus is broad, which might require more targeted experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test score is 0, providing no insights.