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Assessing your cultural and operational fit
Adobe
Data Scientist
June 16, 2026 – Present
Lumi
April 22, 2025 – December 1, 2025
A productivity app that feels like texting yourself
View Projectmost-replayed-part-of-video
February 9, 2023 – February 9, 2023
This repo contains all the code necessary to extract the most replayed part of any youtube video.
View ProjectML-DL-implementation
August 4, 2020 – May 6, 2023
An implementation of ML and DL algorithms from scratch in python using nothing but NumPy and Matplotlib.
View ProjectAnime-Recommendation
June 2, 2020 – November 29, 2021
An anime recommendation service. Uses MyAnimeList accounts for user information and recommends them anime of their taste from a library of 12K shows😃
View ProjectSelf-Driving-Car-Using-Keras
May 2, 2020 – November 22, 2022
Let's make a Self Driving Car using Udacity Simulator and Keras.
View ProjectPacman-Pygame
February 22, 2020 – February 24, 2020
A implementation of Pacman in pygame for use in AL and DL.
View ProjectSmart-India-Hackathon-Alumni-Monitoring
January 5, 2020 – February 7, 2020
Smart-India-Hackathon-Alumni-Monitoring — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal exploration and development, which can indicate a self-starter attitude. However, the projects are predominantly personal and lack evidence of collaborative team environments or contributions to open-source projects, which are often indicative of cultural fit in a professional setting. The target role is Data Scientist, and while many projects align with this, the overall breadth of technologies used across various non-data science projects (e.g., web development, mobile development) suggests a broad interest rather than a focused deep dive into data science specific tools beyond core ML/DL algorithms. The candidate's experience level is listed as 0, but they have a current role as a Data Scientist at Adobe starting in 2026, which is a future date and suggests this is a planned or prospective role rather than current professional experience. This discrepancy makes it difficult to accurately assess cultural fit based on professional experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.