
Computer Science Student || Software Developer || Web Developer || Python; Flask || Git & Github || C; Js; || GCP; Azure; || Web Scraping || ML ||
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Melanoma-Skin-Caner-Detection
June 10, 2025 – June 10, 2025
Melanoma-Skin-Caner-Detection — GitHub repository
View Projectinventory_backend_api
September 28, 2024 – September 28, 2024
Django Inventory API with Redis Caching and JWT Authentication
View Project100DayOfPython
May 1, 2024 – August 12, 2024
This repo will contain all practice exercises I do in the 100 days time period
View ProjectPyGPT
April 26, 2023 – April 27, 2023
This repository Contains My experiments with ChatGPT and Python
View Projectamazon_reviews_web_scraper
July 19, 2022 – July 20, 2022
This repository contains python flask app code for extracting reviews for product from amazon india.
View ProjectMODI-Script-Character-Recognition
June 30, 2022 – September 3, 2025
This repository contains the code and model for character recognition of Ancient MODI Script
View ProjectPython_Workshop
June 7, 2022 – June 11, 2022
This repository contains the assignments and projects i did in 5 days of python workshop.
View ProjectWeb-Scraping-Projects
April 15, 2022 – April 15, 2022
This Repository Contains some Web Scraping programs and projects using python
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong self-learning initiative. The diversity of projects, ranging from web scraping to machine learning, indicates a broad interest in data-related fields. However, the lack of team projects or professional experience makes it difficult to fully assess cultural fit in a collaborative environment. The projects align with the target role of Data Scientist, showing a clear passion for the domain.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.