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INJE UNIVERSITY
Data Scientist
June 27, 2026 – Present
ICIP-2026-PEG-Trust-Watermarking-Benchmark
April 8, 2026 – Present
JPEG Trust Watermarking Benchmark
View ProjectWarehouse-Optimiztion-Q-Learning-Reinforcement-Learning
August 19, 2024 – August 19, 2024
Warehouse path optimization using Reinforcement Learning (RL) enables agents to learn efficient routes by interacting with the environment. The system improves over time by minimizing travel distance and adapting to dynamic warehouse conditions, leading to smarter and faster logistics operations.
View ProjectAdversarial-Attack-on-CNN-Models
August 19, 2024 – August 19, 2024
FGSM (Fast Gradient Sign Method) is an adversarial attack technique that adds small, calculated perturbations to input data to fool CNNs. Proposed by Ian Goodfellow in 2014, it generates adversarial examples to mislead the model's predictions.
View ProjectEmpirical-Mode-Decomposition
August 19, 2024 – August 19, 2024
Empirical Mode Decomposition (EMD) is a powerful signal processing technique used to decompose non-linear and non-stationary signals into intrinsic mode functions (IMFs)
View ProjectSmart-Parking-Project
June 21, 2024 – June 21, 2024
This Python script offers a sophisticated smart parking system for two lots and reserved spaces. It efficiently handles regular and blocked cars, allowing users to park, manage blockages, remove cars, and view status in a clear tabular format.
View ProjectGenetic-TSP
June 4, 2024 – June 4, 2024
The Travelling Salesman Problem (TSP) finds the shortest route visiting all cities once. Genetic Algorithms (GA) solve it by evolving route solutions through selection, crossover, and mutation, efficiently approaching near-optimal paths without brute-force search.
View Projectgithub-slideshow
August 14, 2020 – August 14, 2020
A robot powered training repository :robot:
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards research-oriented and algorithmic problem-solving within Data Science. The diversity of projects (RL, CNN attacks, signal processing, optimization) indicates a broad interest in the field. However, the projects are all personal and lack details on team collaboration or real-world impact, making it difficult to fully assess cultural fit for a collaborative professional environment. The current role as 'Data Scientist' at 'INJE UNIVERSITY' suggests an academic or research-focused environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approach, or communication style in a team setting.