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5 years of coding experience primarily in Java followed by Python. Loves writing good unit testable code adhering to SOLID principles and OOPs.
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Indian Institute of Science
Data Scientist
June 18, 2026 – Present
Java-Concepts-Examples
September 24, 2024 – September 24, 2024
Java-Concepts-Examples — GitHub repository
View ProjectDijkstraEAT
September 18, 2024 – September 18, 2024
This is a simple java program to compute Earliest Arrival Time (variant of Dijkstra algorithm) on an streaming temporal graph.
View ProjectMovie-Ticket-Booking
January 31, 2024 – May 1, 2024
Principles of Distributed Software course work project for Movie Ticket Booking using Spring.
View ProjectE0209_2024-Project1P1-T1
January 30, 2024 – March 20, 2024
Project-1/Phase-1 repository for E0209-Principles of Distributed Software Vaisakh/Himanshu
View ProjectFeatures-Application
July 28, 2021 – August 3, 2021
The application fetches data from an Esper API that list Mobile Phones and there features and allows user to select a valid combination
View ProjectAndroid-OCR
January 5, 2020 – January 5, 2020
Sample android text detection app using mobile vision api.
View ProjectMEDI_Mate
July 17, 2019 – January 5, 2023
To find alternative of given medicine in region.
View ProjectHelp-Assistance
March 10, 2019 – March 14, 2019
A modern SOS Application including a client-server-client architecture where a user can request for help to nearby connected users.
View ProjectCultural Fit Analysis
The candidate's project portfolio is diverse, covering areas from distributed systems to mobile apps and data analysis. However, the majority of projects are personal and academic, with limited insight into team collaboration or contributions to larger organizational goals. The current role as 'Data Scientist' at Indian Institute of Science aligns with the target role, but the 'experienceLevel' is 0, suggesting this is a very recent or upcoming role, making it difficult to assess cultural fit based on professional experience.
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.