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Assessing your cultural and operational fit
maze_solver
April 22, 2024 – April 25, 2024
Maze project for Engineering Algorithm at Northeastern University
View Projectsudoku
March 26, 2024 – April 2, 2024
Sudoku Solver using backtracking for Fundamentals of Engineering Algorithms Northeastern
View Projectword_search
March 1, 2024 – March 7, 2024
Word search puzzle solver for Computer Algorithms at Northeastern
View Projectlk_opticalflow
March 1, 2024 – April 24, 2024
Lucas-Kanade Method and Laplacian of Gaussian for Motion Tracking on Low Resolution High Noise Image Sequences
View Projectflip
February 8, 2024 – February 20, 2024
Card game project for Computer Algorithms at Northeastern
View Projectmastermind
January 23, 2024 – January 30, 2024
Game Project for Computer Algorithms at Northeastern
View Projectembedded_design
January 14, 2024 – January 14, 2024
Embedded Design course at Northeastern. Include all assignments source code and FPGA schema.
View Projectcoursera_algo1
January 11, 2024 – January 11, 2024
Algorithm Part 1 from Princeton University on Coursera.
View Projectesoil_visualizer
November 20, 2023 – February 1, 2024
Visualizer for organic photodiodes data generated from eSoil lab
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong academic background with numerous personal projects from university coursework. The projects are diverse in their focus (algorithms, embedded systems, data visualization, image processing), indicating a broad interest in technical domains. However, there is no explicit experience in a professional team setting, which limits the assessment of cultural fit for a collaborative work environment. The projects align with a technical role, but specific alignment with a 'Data Analyst' role is limited to Python-based data visualization and image processing, suggesting a need for further development in core data analysis skills.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise but do not provide insight into collaboration, problem-solving approach, or communication style.