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Assessing your cultural and operational fit
Computer Science| NKUA
Data Scientist
June 27, 2026 – Present
PriSM
August 2, 2025 – Present
[TMLR'26] PriSM: Prior-Guided Search Methods for Query Efficient Black-Box Adversarial Attacks
View ProjectMountainCar-v0
March 20, 2025 – April 29, 2025
Application of Reinforcement Learning algorithms (DQN,DRQN,PPO,A2C) to gym's MountainCar-v0
View ProjectDeep-Learning-NLP
April 5, 2024 – September 27, 2024
Deep learning for Natural Language Processing (FNNs, RNNs, BERT)
View ProjectTravel-Agency-Database
June 8, 2023 – June 8, 2023
A database schema, queries and a simple website interface for a travel agency
View Projectai-berkeley
March 3, 2023 – March 3, 2023
My solutions to projects 1, 2 & 3 of Berkeley's AI course
View ProjectAbstract-Data-Types
May 24, 2022 – October 3, 2023
A set of efficient data structures in C, created in a generic way
View ProjectQuoridor
January 9, 2022 – April 24, 2023
A terminal implementation of the game Quoridor with an engine
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal, self-driven learning and development in computer science fundamentals and AI. The diversity of projects, from low-level memory management to high-level deep learning applications, suggests a curious and proactive individual. The current role as 'Data Scientist' at 'Computer Science| NKUA' aligns directly with the target role, indicating a clear career path. However, without more details on team collaboration or project methodologies, a comprehensive cultural fit assessment is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights into logical reasoning, work attitude, stress handling, or team collaboration.