Machine Learning Engineer at Qualcomm CS and EE graduate from IIT Gandhinagar. Interested in Machine Learning, Computer Vision and Natural Language Processing
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
NLP_Assignments
December 26, 2019 – December 26, 2019
NLP_Assignments — GitHub repository
View ProjectSentEmojiDataset
November 15, 2019 – November 25, 2019
SentEmojiDataset — GitHub repository
View ProjectShellCodeDebugTrackingSoftware
October 17, 2019 – February 23, 2020
ShellCodeDebugTrackingSoftware — GitHub repository
View Project100-days-of-code
September 30, 2019 – October 26, 2019
100-days-of-code — GitHub repository
View ProjectLasso_Ridge_Regression_and_CoordinateDescent
June 12, 2019 – June 20, 2019
This repository contains codes and functions for Ridge Regression (Normal Eqquation method and Coordinate Descent method) and Lasso Regression (Coordinate Descent method). There is some analysis of the preformance of these funcions/models. There is also a comparison of these with the sklearn.
View ProjectWarehouse-Inventory-Check
November 1, 2018 – June 20, 2019
Autonomous Drone to move in a warehouse and make a stock of the inventory be reading the bar codes and QR codes
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards personal projects, indicating self-motivation and a passion for learning. The diversity of projects, from drone inventory to shell development, suggests a broad technical curiosity. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.