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Software Engineer at @Uber. Former SWE Intern @Google. (Summer'19). Computer Science graduate from BITS Pilani.
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uber
Data Scientist
June 25, 2026 – Present
ExercismRepresenter.jl
April 17, 2020 – April 17, 2020
ExercismRepresenter.jl — GitHub repository
View ProjectParallelism-Intel-Arch-Assignments
August 28, 2019 – October 13, 2019
Assignments from the course Fundamentals of Parallelism on Intel Architecture.
View Projectdistributed-key-value-store
August 12, 2019 – August 12, 2019
A solution to Fault Tolerant Key-Value Store assignment for cloud computing concepts part 2 (Coursera)
View ProjectIntelligentMedBox
October 25, 2018 – November 23, 2018
An android app for the software engineering project, for the intelligent medicine box
View ProjectIntelligentMedicineBox
October 1, 2018 – November 23, 2018
Software Engineering Course Project (BITS Pilani K. K. Birla Goa Campus) IS F341
View Projectmembership-protocol
September 3, 2018 – September 3, 2018
A solution to membership protocol assignment for cloud computing concepts part 1 (Coursera)
View Projectcompetitive-coding
February 19, 2018 – March 6, 2019
My solutions to various questions on websites like codechef, codeforces, spoj etc.
View ProjectChessMaster
December 16, 2017 – March 11, 2018
This is a chess game with logical (deterministic) AI.
View ProjectImplementations_of_various_algorithms_and_data_structures
July 13, 2017 – September 30, 2019
A few common data structures and algorithms implemented in C++.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on personal technical implementations across various programming languages (C++, Java, Python, Julia) and computer science fundamentals (algorithms, data structures, distributed systems). While this demonstrates strong technical curiosity and initiative, there is a lack of projects directly related to data science methodologies, machine learning, or statistical analysis, which are core to a Data Scientist role. The single listed professional experience as 'Data Scientist' at Uber is future-dated, providing no current or past professional context. This suggests a potential misalignment with the specific demands of a Data Scientist role without further evidence of domain-specific skills.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's profile primarily showcases technical project work without details on collaboration, communication, or problem-solving approaches in a team setting.