B. E. Computer Engineering student @ Savitribai Phule Pune University | AI/ML | Blockchain - Pune, India
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Assessing your cultural and operational fit
codecrafters-shell-python
May 16, 2026 – Present
This is a project created to develop the custom shell (terminal) in python. This projects enables understanding of operating system related concepts and file handling with shell related concepts like REPL etc.
View Projectsnlp_algos
April 18, 2026 – Present
This repo contains all the algorithms developed from scratch related to speech and natural language processing by me!
View Projectagentic-ai-scratchpad
April 13, 2026 – Present
Here I create examples about new things I learn related to agentic AI.
View Projectml-scratchpad
February 21, 2026 – Present
A living scratchpad for ML — hands-on experiments, intuitions, and discoveries built one notebook at a time.
View Projectdevops-with-docker-2024-university-of-helsinki
May 17, 2024 – June 9, 2024
devops-with-docker-2024-university-of-helsinki — GitHub repository
View Projectpassword-manager
June 8, 2022 – September 10, 2022
In, a word of digital exaggeration in our life, we tend to have multiple accounts on websites varing functionally. This app lets you save your passwords and manage them as you will have one complete centralized password management solution.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration in various technical domains, including web development, DevOps, and AI/ML. This indicates a self-starter mentality. However, the projects are predominantly personal and lack details on collaborative efforts or real-world impact, making it difficult to fully assess cultural fit in a team-oriented professional environment. The diversity of projects (web, DevOps, ML) suggests a broad interest but also a potential lack of deep specialization for a senior Data Scientist role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.