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Assessing your cultural and operational fit
deeplearningai-short-courses
October 28, 2024 – November 24, 2024
Each sub-folder contains the material I used for a deeplearn.ai short course.
View Projectgenai-with-llms-deeplearningai
October 25, 2024 – October 27, 2024
All material I used and created following the "Generative AI with Large Language Models" course of DeepLearning.AI
View Projectxai-notebooks
August 24, 2024 – August 24, 2024
This repo contains a notebook designed to teach different eXplainable AI (XAI) techniques on multiple use cases. It is oriented towards an audience with a basic technical level on ML models.
View Projectaima-4th-ed
August 19, 2024 – August 21, 2024
Notes and exercises for the Artificial Intelligence: A Modern Approach (4th ed.) textbook.
View Projectdeep-learning-for-coders-with-fastai-and-pytorch
August 19, 2024 – August 24, 2024
Notes, notebooks, and code used for the part I of the FastAI course (2020).
View Projectecam-parallel-computing
August 11, 2024 – August 11, 2024
ecam-parallel-computing — GitHub repository
View Projectecam-computer-vision
August 11, 2024 – August 11, 2024
Exercises, labs, and projects created for the Computer Vision course of ECAM.
View Projectkaggle-competitions
October 17, 2023 – September 1, 2024
All notebooks used for competitions
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal and academic, indicating a strong self-driven learning approach. However, the lack of team-based projects or professional experience makes it difficult to assess cultural fit in a collaborative work environment. The projects align well with a Data Scientist role, but the breadth of experience outside of academic/personal learning is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise but do not provide insight into collaboration, problem-solving approaches, or communication style.