Mathematician and Computer Scientist. Currently pursuing a MSc in Data Science. Working at Driving01 as a ML engineer.
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Master_thesis
June 19, 2023 – June 26, 2023
Assessing VTE in cancer patients using deep learning synthetic data generation and domain adaptation techniques.
View Projectnamed-entity-recognition
June 6, 2023 – July 20, 2023
The objective of this project is to fully understand the structured perceptron algorithm applied to Named Entity Recognition (NER). NER problems are very useful in many contexts, from information retrieval to question answering systems.
View Projectnamed-entity-recognition
May 29, 2023 – July 20, 2023
The objective of this project is to fully understand the structured perceptron algorithm applied to Named Entity Recognition (NER). NER problems are very useful in many contexts, from information retrieval to question answering systems.
View Projectquora-question-pairs
April 16, 2023 – May 12, 2023
This repository contains the solution to the Quora Question Pair Challenge, a natural language processing task that consists of predicting whether a pair of questions asked on Quora are duplicates or not.
View ProjectFake_Jobs_Prediction
February 11, 2023 – February 11, 2023
EDA and Machine Learning model to classify fake job ads. This model was developed for a University classroom kaggle competition and we obtain the second place.
View ProjectRecommender_System
February 11, 2023 – February 11, 2023
Movie films recommender system using Spotlight library. Construction of mongo db database and a recommender webpage using streamlit.
View ProjectS2S_challenge_second_position
January 22, 2023 – February 11, 2023
Sub-seasonal to seasonal forecasts of temperature and precipitation using Machine Learning models.
View Projectschneider-datathon
November 17, 2022 – November 19, 2022
4th solution of the CV remote-sensing Schneider Electric European Hackathon (2022). Pre-trained CNN and (Vi)Transformers were implemented
View Projectjobify
September 29, 2021 – December 16, 2021
Demo for a job finding site with both backend and frontend built with agile methodologies as a team of 8 students using Vue and Flask
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards data science and machine learning, aligning well with a Data Scientist role. The diversity of projects, from web development to advanced deep learning, indicates a broad interest and willingness to explore different domains. However, the lack of professional experience or explicit team collaboration details beyond a single project makes it difficult to fully assess cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work in teams (jobify project) and a drive for problem-solving through competitions. However, without specific psychometric test results or interview data, a comprehensive assessment of soft skills and operational fit is not possible.