Help & Supportcareers@gravityer.com
Data Scientist | Machine Learning | Deep Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Paper-Tales
June 9, 2021 – June 9, 2021
This repo contains projects related to implementation of Research Papers from scratch.
View ProjectAlgorithms-Bunker
June 5, 2021 – June 7, 2021
The project contains implementations of common algorithms related to ML/DL from scratch. The purpose of this project is not to produce optimized and computationally efficient algorithms, but rather to understand the inner workings of the algorithms in an easy and accessible way.
View ProjectData-Apps
June 5, 2021 – June 5, 2021
This project contains links to all the AI/ML related apps in one places.
View ProjectCV-Arsenal
June 5, 2021 – June 5, 2021
This repository contains small projects related to CV. These projects were done with the aim to learn different applications of CV and get comfortable with various tools and techniques.
View ProjectNLP-Arsenal
June 5, 2021 – June 9, 2021
This repository contains small projects related to NLP. These projects were done with the aim to learn different applications of NLP and get comfortable with various tools and techniques.
View ProjectML-DL-Projects
June 28, 2020 – October 7, 2023
This repository contains the ipynb notebooks for the projects I have done.
View ProjectCovid-19-EDA
June 28, 2020 – September 6, 2024
A streamlit app for interactive visual analysis on the spread of COVID-19 virus worldwide.
View ProjectVQA-Flask-App
June 12, 2020 – November 21, 2022
A simple Flask app to generate answer given an image and a natural language question about the image. The app uses a deep learning model, trained with Tensorflow, behind the scenes.
View ProjecttnpProject
January 25, 2018 – November 28, 2023
A project on an online Aptitude Test Portal for Assessment of the Final year students in a mock environment.
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards personal learning and exploration in the data science domain, which aligns with a culture of continuous improvement. The diversity of personal projects (VQA, EDA, Algorithms, CV, NLP) suggests a broad interest in different areas of AI/ML. However, the lack of team projects or professional experience makes it difficult to assess collaboration and cultural alignment in a corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive learning approach and an interest in understanding algorithms from scratch. However, without formal work experience or detailed project contributions, it is difficult to assess operational fit, teamwork, or communication skills in a professional setting.