Microsoft Student Partner | Smart India Hackathon 2018 Winner
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GUI-WireFrame-to-Code
April 24, 2021 – April 24, 2021
GUI-WireFrame-to-Code — GitHub repository
View ProjectDriver-Behaviour-ID-and-UBI
April 17, 2021 – December 9, 2024
Driver Behaviour Identification using Data Science and ML method. Application for Usage Based Insurance.
View ProjectDriver-Behaviour-Analysis
February 22, 2021 – March 13, 2021
Driver-Behaviour-Analysis — GitHub repository
View ProjectGSoC-2020-Project-Proposal
March 30, 2020 – March 30, 2020
GSoC-2020-Project-Proposal — GitHub repository
View ProjectDeep-Learning-based-Crop-Identification-Mobile-App
February 6, 2020 – February 20, 2024
Develop a mobile application that can identify crop using only field photo of a crop. The team must target at-least 10 different crops for demonstration. The application will allow the user to take photos and automatically identify the crop. The photo and crop information along with geolocation information should be stored in an internal database which can be exported/emailed.
View Projectbeinganonymous.github.io
September 14, 2019 – September 15, 2019
beinganonymous.github.io — GitHub repository
View ProjectDog-Fox-Classification
July 7, 2019 – October 3, 2023
It is a Webpage which takes image from user and analyze that image with Dog and Fox class using Computer Vision and Deep Learning. Here we are using Convolutional Neural Nets to train our model
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate initiative in exploring various technical areas, including Data Science, Web Development, and Mobile App development. This breadth suggests a curious and self-driven individual. However, without information on professional experience or team-based projects, it's difficult to fully assess cultural fit within a collaborative work environment. The target role is Data Scientist, and while there are relevant projects, the overall project diversity is high, which might indicate a broad interest rather than deep specialization at this stage. The lack of professional experience (experienceLevel 0) suggests this candidate is likely entry-level, which may not align with a senior Data Scientist role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile lacks information on work experience, team collaboration, or communication styles.