About Alexandre
French
Native or bilingual
English
Fluent
Experience
- Nestlé Excellence Supports France
On Malt
Senior Data EngineerAGRICULTUREJanuary 2024 - Today (2 years and 5 months)Paris, France - Praelexis AIPrincipal Data Scientist - Data Engineer - ML EngineerCONSULTING AND AUDITSOctober 2018 - Today (7 years and 8 months)Le Cap, South AfricaMy experiences have been diverse, and I have held various positions within this consulting firm. However, I have primarily performed three different roles: Principal Data Scientist and ML Engineer, Data Engineer, and Senior Data Scientist. These roles have allowed me to work on several projects related to data science, machine learning, and data engineering, in various domains such as banking, vehicle tracking systems, and online betting platforms.- As a Principal Data Scientist and ML Engineer, I led a team of data scientists on numerous projects. This included the development and deployment of a cutting-edge FNOL (First Loss of Notification) classification model for a leading company in the vehicle tracking system. My objective was twofold: to ensure client needs were met by aligning business requirements with the technical agenda, in addition to guiding the team, designing, and implementing the solution.- As a Data Engineer, I worked with the customer profile team of a large South African bank. I deployed an elastic Airflow cluster from scratch using Kubernetes and implemented new workflows within their infrastructure. This reduced cloud expenditure and improved past performance. Additionally, we migrated their collaborative Big Data and data science engineering platform from Azure HDInsight to Databricks. The solution design utilized advanced technologies such as Docker, Kubernetes, Airflow, and Spark. Another project involved developing a streaming platform using Kafka and Spark Structured Streaming for an online betting company.- As a Senior Data Scientist, I collaborated with the credit granting department of a large South African bank. We implemented Deep Learning models to automate credit labeling to help branch managers expedite the credit granting process. This allowed the bank to significantly reduce the cost of credit granting. Furthermore, we also developed a migration model (which recalculates the probability of default 6 months after credit granting) and an online credit automation system.
- VASTechData ScientistDEFENSE AND MILITARYOctober 2016 - October 2018 (2 years)Le Cap, South AfricaVASTech is internationally recognized as a cutting-edge innovator and a preferred independent global provider of telecommunications solutions for national governments and the law enforcement community.As a Data Scientist, I contributed to the development of a threat detection platform for government entities, based on a sentiment analysis model. Utilizing large amounts of textual data (SMS and emails), this model leveraged advanced NLP techniques such as pre-trained word vectors, CNN, and RNN algorithms.
Recommendations
Be the first to recommend Alexandre
Help this freelancer shine by sharing your experience working together.
These freelancer profiles also match your criteria
Agatha Frydrych
Backend Java Software Engineer
4.7
(3)
2
Baptiste Duhen
Fullstack developer
4.6
(4)
5
Amed Hamou
Senior Lead Developer
4
(2)
7
Audrey Champion
Web developer
4.3
(3)
4
Education
- Master Statistics and EconometricsToulouse School of Economics2016Le master mention « Économétrie, Statistique » vise à donner aux étudiants une solide culture en économie, économétrie et statistique, afin de leur assurer une insertion professionnelle rapide à l’issue du master dans des emplois de statisticiens ou d’économètres. La première année « Statistique et Econométrie » propose des cours obligatoires d’approfondissement en économie théorique, en économétrie et en statistique ainsi que des cours optionnels de spécialisation dans différents domaines comme par exemple la finance, les bases de données, l'optimisation, les applications des chaînes de Markov, la modélisation probabiliste et les techniques spécifiques au ``Big Data''. La deuxième année « Statistique et Econométrie » met l’accent sur les techniques statistiques et économétriques avancées et appliquées tout en formant les étudiants à la manipulation des logiciels, R, Python et SAS et à la gestion de bases de données. Les cours permettent aux étudiants d’acquérir des compétences dans le traitement de données complexes (données de panel, d’enquêtes, de survie, de graphes, spatiales) avec des méthodes économétriques et statistiques poussées (paramétriques, non-paramétriques, apprentissage).
- Master's Degree in Economist StatisticianInstitut de Mathématiques de Toulouse & Toulouse School of Economics2016Ce programme en 3 ans (L3, M1 et M2), ouvert en 1985, est une formation d'excellence qui associe formation théorique, applications professionnelles et initiation à la recherche, en sciences économiques, mathématique, statistique et informatique. Il aboutit à la délivrance d'un DU (Diplôme Universitaire). Son objectif est de former des économistes quantitatifs de haut niveau et des spécialistes de la science des données (data scientists).
Certifications
- AWS Certified Machine Learning – SpecialtyAmazon Web Services (AWS)
- Deep Learning SpecializationCoursera