
Tech Enthusiast Open Source Follower | Python | Data Science |Django| Trying to learn many more.
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Portfolio-Reviewer
June 11, 2024 – June 11, 2024
AI Portfolio Reviewer is a Django-based web application designed to provide AI-driven feedback on portfolio websites. Users can submit their domain, receive a detailed review, and rate the feedback using an intuitive rating system.
View ProjectIPL-WININNING-PREDICTION
May 19, 2022 – October 25, 2023
This app takes the details regarding a match including batting team, bowling team and score along with wickets and use Logistic Regression to predict the chances of winning of both team.
View ProjectK-Nearest-Neighbors-Projects
May 17, 2022 – May 17, 2022
K-Nearest-Neighbors-Projects — GitHub repository
View ProjectLogistic-Regression-Projects
May 11, 2022 – May 18, 2022
It includes Titanic Survivor Prediction and Advertisement Clicked Prediction which are all made from using Logistic Regression Algorithm.
View ProjectDiscord_Quiz_Bot
January 17, 2022 – January 17, 2022
Discord_Quiz_Bot — GitHub repository
View ProjectUrl-Shortner
January 12, 2022 – January 17, 2022
This Url Shortner offers custom made link and randomly generated shortened link along with login and register feature. The app is made using DJANGO, HTML, CSS, JavaScript.
View ProjectDjango-Project-StudyBud-
January 6, 2022 – January 12, 2022
Study Bud is a website which allows people to interact with each other via text and allows them to create rooms to have discussions over various topics
View ProjectCovidTracker
July 28, 2021 – September 20, 2021
Website for tracking global and country wise covid cases along with Recovery Rate and Past 30 days records of the same.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a self-starter attitude. However, the diversity of projects leans heavily towards basic web development and introductory machine learning concepts, which may not fully align with the depth expected for a senior Data Science role. The lack of professional experience or team-based projects makes it difficult to assess collaboration or cultural alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.