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SALT
Data Scientist
June 20, 2026 – Present
DynaBridge
October 23, 2023 – November 3, 2023
An elegant DynamoDB Object-Relational Mapping (ORM) library for Python, simplifying database interactions and data modeling.
View ProjectDynaCache
September 23, 2023 – Present
Effortlessly cache function responses in DynamoDB for lightning-fast, efficient data retrieval
View Projectwork-stealing-dequeues
April 23, 2022 – April 28, 2022
work-stealing-dequeues — GitHub repository
View Projectfetch
August 6, 2021 – October 24, 2021
A CLI for fast concurrent downloads utilizing goroutines
View ProjectKushagraIndurkhya.github.io
July 8, 2021 – July 8, 2021
KushagraIndurkhya.github.io — GitHub repository
View ProjectgDrive-Torrent
January 10, 2021 – January 8, 2023
A notebook to download torrents directly to gDrive without using your data using google colab
View Projectaims-portal-monitoring
December 27, 2020 – August 4, 2021
A Monitoring tool for IIITR Students which can be used to calculate current cgpa and to automate the task of checking the aims portal for result updates
View ProjectAmbulance_service_provider
November 25, 2020 – December 12, 2020
This project is a simple hospital management utility providing a ambulance availability management system
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong inclination towards personal development and exploring diverse technologies. The variety of projects, from system utilities to API frameworks and data-related tasks, suggests an individual who is curious and self-driven. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to assess collaboration and broader cultural fit within a team environment. The target role is Data Scientist, and while there are relevant projects, the overall portfolio is very broad, which could indicate a generalist rather than a deep specialist in data science.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise but do not provide insight into collaboration, problem-solving approaches, or communication style.