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Assessing your cultural and operational fit
Multi_Object_Tracking_with_MobileNetSSD
January 17, 2022 – January 23, 2022
Multi-object tracking using pre-trained MobileNet SSD caffe model with dlib and openCV
View ProjectGestureControl
July 27, 2021 – July 27, 2021
An application to control the mouse and sound of a computer using hand gestures
View ProjectImageColorizer
December 28, 2020 – December 29, 2020
Colorize black and white (grayscale) image to colorful image with OpenCV and Deep Learning
View ProjectImageCompressor
December 27, 2020 – April 13, 2021
Python code for the paper "Lossy Image Compression Using Singular Value Decomposition And Fast Fourier Transform"
View ProjectFacial_Expression_Recognition_Using_CNN
October 7, 2020 – April 13, 2021
Python code for the paper "Real Time Facial Expression Recognition using Convolution Neural Network Algorithm"
View ProjectLocal-Loop
April 21, 2020 – April 21, 2020
TCS Enginx 2019 Hackathon Project : Offline Shopping Review System
View ProjectTerminal_Chat_Console
October 19, 2018 – May 11, 2019
A console chatting application prototype with in-app realtime file transfer capabilities
View ProjectCultural Fit Analysis
The candidate primarily focuses on personal projects, predominantly in Python, with a strong emphasis on computer vision and machine learning. While this shows initiative and passion for the target role, the lack of diverse team projects or professional experience makes it difficult to assess cultural fit comprehensively. The projects are varied within the data science domain, but there's limited exposure to broader software development practices or different technology stacks beyond Python, JavaScript, CSS, PHP, and Hack.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style in a team setting.