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VJTI
Data Scientist
June 25, 2026 – Present
TraViol
August 25, 2018 – August 28, 2018
An Automatic Traffic Violation Detection System
View ProjectDropout
August 25, 2018 – August 25, 2018
In this experiment, we implement Dropout, a simple yet highly effective Regularization technique. We examine and implement the technique of Inverted Dropout (applied to neurons only while training unlike Vanilla Dropout where the criterion is evaluated for each neuron while testing)
View ProjectColor
July 27, 2018 – October 2, 2018
Herein attached are all thy scripts for Color Gamut Expansion.
View ProjectDoorLockCV
December 1, 2017 – December 9, 2017
This project is an intelligent system that detects faces real time and unlocks a door lock employing an AVR development board, based on the famous and best in the domain of face detection, research paper: ‘Rapid Object Detection using a Boosted Cascade of Simple Features’ [2001] by Paul Viola and Michael Jones.
View Projectsport-yello
October 28, 2017 – December 23, 2017
A Twitter chatbot that tweets latest news in the field of sports.
View ProjectOSeeOurSpellWizard
October 26, 2017 – February 7, 2018
Optical Character Recognition using Open CV 3.0 with Python
View Projecthaarcascades
October 3, 2017 – December 8, 2017
My first brush with haar training in line with the paper by Viola and Jones, "Rapid object detection using a boosted cascade of simple features", Computer Vision and Pattern Recognition, 2001
View ProjectCultural Fit Analysis
The candidate's projects primarily focus on computer vision and machine learning, which aligns well with a Data Scientist role. However, the projects are all personal and lack diversity in terms of team collaboration or industry application, which might indicate a need for more experience in collaborative environments. The single listed 'experience' entry as 'Data Scientist' at 'VJTI' with a future start date and no end date, marked as 'isCurrent', is unusual and lacks detail, making it difficult to assess real-world professional experience.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. The candidate's project descriptions are clear and concise, indicating good technical communication.