
Currently a CS Grad Student @ BITS Pilani
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
BITS Pilani
Data Scientist
June 12, 2026 – Present
ZKPLib
August 22, 2024 – August 22, 2024
Implementation of Zero Knowledge Proof Protocol Cross compatible with Python
View ProjectMAGMA
July 15, 2024 – July 15, 2024
C Implementation of 64 bit block Feistel Cipher Based on Russian Specification GOST 28147-89 (RFC 5830)
View ProjectDistributed-flagging-system
April 15, 2024 – April 16, 2024
Distributed system which runs several algorithms to flag explicit content before getting posted in social media.
View ProjectKuznechik
January 26, 2024 – April 2, 2024
🔐 An AES Like Fast Symmetric Cipher Implemented In C ⚡
View ProjectHuffmanCoding
January 6, 2024 – January 6, 2024
A java Library to convert Text to Lossless Huffman Tree (Lossless Encoding). Part of a Legacy Project that i did :)
View ProjectCryptography
July 19, 2023 – July 15, 2024
🔐 Collection Of Various Implementations Of Cryptographic Algorithms From Scratch In Various Languages
View ProjectDAA-Algo-Implementations
January 16, 2023 – April 3, 2023
Implementations of DAA Algorithms in various languages
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards complex algorithmic implementations and foundational computer science topics. The target role is 'Data Scientist', and while there are projects related to data (AudioAnalysis, Distributed-flagging-system), the majority lean towards cryptography and core programming. This suggests a potential misalignment with the typical focus of a Data Scientist role, which often involves more statistical modeling, machine learning, and data manipulation/visualization. The single listed experience as 'Data Scientist' at BITS Pilani is current and has no end date, but no details are provided about the responsibilities or skills utilized, making it difficult to assess direct role alignment. The project diversity is high in terms of technical challenge but less so in direct data science application.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.