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Assessing your cultural and operational fit
Smart-Study-Planner
September 30, 2025 – September 30, 2025
Smart-Study-Planner — repository
View Projectllm-semantic-book-recommender
September 19, 2025 – Present
llm-semantic-book-recommender — repository
View Projectsmartbuild
August 31, 2025 – September 14, 2025
This project harnesses machine learning techniques to model complex energy use patterns and integrate real-time IoT data for dynamic energy management.
View ProjectCP
February 23, 2025 – March 19, 2025
my solutions to various competitive programming problems from different platform
View Projectno-loss-lottery
July 19, 2024 – September 27, 2024
This project implements a no-loss lottery project using Aave's lending protocol.
View ProjectSolidity-Examples
September 29, 2023 – January 12, 2025
A 90-day plan for learning programming problems, from beginners to a more advanced level.
View ProjectReverse-Engineer-Code
October 30, 2021 – November 10, 2021
Here you can find a random collection of binaries from challenges, forums, ctfs meant to be reverse-engineered.
View ProjectCloudSkill
May 20, 2021 – September 3, 2025
This repository offers clear and practical solutions for Google Cloud Labs, designed to help learners quickly grasp key concepts and apply them effectively. It aims to make the learning process more accessible and easier to understand.
View ProjectCultural Fit Analysis
The candidate's project portfolio is diverse, including blockchain, competitive programming, and reverse engineering, which indicates a broad technical curiosity. However, many projects are personal and lack detailed descriptions of collaboration or team involvement. The target role is 'Data Scientist', and while there are relevant projects, the overall breadth suggests a generalist interest rather than a focused alignment with data science principles and practices. The 'experienceLevel' is 0, which suggests a junior profile, potentially impacting cultural fit for a senior role requiring more focused experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.