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Dwarkadas J. Sanghvi College of Engineering
Data Scientist
June 16, 2026 – Present
agentic-ai-projects
June 1, 2026 – Present
This repository serves as a hands-on learning space for Agentic AI, featuring both self-developed projects and curated projects from the community that I have implemented, analyzed, and experimented with.
View ProjectData-Structures-Algorithms
July 13, 2022 – May 20, 2023
Data-Structures-Algorithms — GitHub repository
View ProjectAnalysis-of-Indian-Restaurants-in-New-York
April 14, 2020 – July 16, 2020
Applied Data Science Capstone
View ProjectCrime-Reporting-App
April 9, 2020 – April 9, 2020
An interactive map application to report crimes happening around you in real time.
View ProjectNetflix-Movie-Recommendation
November 29, 2019 – November 29, 2019
A collaborative-filtering based Recommendation Engine built on Netflix data that recommends movies to users.
View ProjectStackOverflow-Tag-Predictor
November 29, 2019 – November 29, 2019
Predict the tags given the question text and title
View ProjectAmazon-Fine-Foods-Review-Analysis-and-Modelling
July 3, 2019 – July 3, 2019
The Amaon Fine Foods Review dataset consists of reviews of fine foods from Amazon. There are approximate 500,000 reviews up to October 2012. Reviews include product and user information, ratings, and a plain text review. The Aim of this case study was to predict the polarity of the reviews ie. positive/negative. I have applied various Machine Learning Techniques & Algorithms and documented the results accordingly
View ProjectThe-Real-You
August 17, 2018 – November 9, 2018
A website developed using PHP, MySQL, HTML and CSS that lets its users know their personality type by taking a quiz.
View ProjectCultural Fit Analysis
The candidate shows initiative through numerous personal projects, indicating a self-starter attitude. The diversity of projects, ranging from data science to web development and algorithms, suggests a broad interest in technology. However, the lack of team-based projects or detailed descriptions of collaboration makes it challenging to fully assess cultural fit in a collaborative environment. The target role is 'Data Scientist', and many projects align with this, showing a focused interest.
Soft Skills & Operational Fit
The candidate's project descriptions are brief, making it difficult to assess soft skills such as problem-solving approach, collaboration, or communication style. The operational fit is also hard to determine without more detailed project contributions or team experiences.