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IIIT Pune
Data Scientist
June 12, 2026 – Present
pathfinder
June 23, 2023 – September 26, 2023
PathFinder is a Python application that uses the A* algorithm and bus stop data to find the shortest route between two points, enhancing bus transportation efficiency.
View Projectreal-time-bus-tracking
June 14, 2023 – June 15, 2023
This project utilizes the Open Transit Data API provided by the Delhi Government to create a video visualization showcasing the real-time positions of public buses in Delhi. The video provides an engaging view of the city's bustling transit system, highlighting the dynamic movements and scale of the buses.
View Projectstrivers-sde-sheet
June 8, 2023 – September 11, 2024
This repository contains solutions to 184 coding questions from the Striver's SDE Sheet . The repository offers C++ or Python implementations.
View Projectanime-recommendation-system
May 29, 2023 – May 29, 2023
This repository implements a content-based anime recommendation system using a dataset from Anime Planet, providing personalized recommendations based on user preferences.
View Projectcar-price-prediction
May 27, 2023 – July 12, 2023
The Car Price Predictor utilizes a linear regression model to estimate the prices of used cars based on their features, enabling accurate predictions for pricing in the used car market.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, focusing on data science and algorithmic problem-solving. While this indicates a strong interest in the field, there is limited evidence of experience in diverse team environments or large-scale production systems, which might impact cultural fit in a fast-paced, collaborative industry setting. The single listed experience as 'Data Scientist' at IIIT Pune with a future start date and no end date, marked as current, suggests this is likely an academic or research role, or a placeholder, and does not provide sufficient information to assess cultural fit in a corporate environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style in a team setting.