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Alexandre GarciaAG

Alexandre Garcia

Data Engineer | Data Scientist | ML Engineer

€800/day
5 projects
Toulon, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Alexandre

Are you looking for tailor-made solutions to unlock your company's full potential through data exploitation?

As a passionate Data Scientist and Engineer, I can support you in this endeavor. In today's context where data is at the heart of all economic activity, data analysis has become a key element of business success. With my skills, I can help you solve complex challenges and optimize your existing processes to fully leverage your data's potential.

As a partner, I am here to listen to understand your specific needs and develop tailored strategies. With a solid background in data science, engineering, and strategy development, I can guide you through each step of the process to achieve concrete results. Whether it's optimizing your business processes or implementing cutting-edge technologies, my skills can help you achieve your business objectives.

In summary, my data science and engineering skills can help your company better understand your data, optimize your processes, and make informed decisions based on accurate insights. This can lead to a significant improvement in business performance, sustainable growth, and a competitive advantage in an increasingly competitive market.

Feel free to contact me to start the conversation and explore together the opportunities I can offer you. Whether you decide to work with me or not, I am convinced that our exchange will be rich in information and concrete steps to help you grow your business.
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Toulon (up to 50km), Marseille (up to 20km), Nice (up to 20km), Lyon (up to 20km), Paris (up to 20km)

Experience

  • Nestlé Excellence Supports France
    Malt logoOn Malt
    Senior Data Engineer
    AGRICULTURE
    January 2024 - Today (2 years and 5 months)
    Paris, France
    CI/CD Spark Data Engineer Docker Agile Scrum Data architecture Python Databricks Pandas Communication Microsoft Azure
  • Praelexis AI
    Principal Data Scientist - Data Engineer - ML Engineer
    CONSULTING AND AUDITS
    October 2018 - Today (7 years and 8 months)
    Le Cap, South Africa
    My 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.
    Machine learning Apache Spark Docker REST API Python (Programming Language) Azure Databricks Apache Airflow Continuous Integration Continuous Delivery Deep Learning TensorFlow SQL Apache Kafka Streaming FastAPI Flask
  • VASTech
    Data Scientist
    DEFENSE AND MILITARY
    October 2016 - October 2018 (2 years)
    Le Cap, South Africa
    VASTech 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.
    NLP keras Python (Programming Language) Deep Learning TensorFlow Data visualisation Scikit-learn Pandas Numpy

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Education

  • Master Statistics and Econometrics
    Toulouse School of Economics
    2016
    Le 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 Statistician
    Institut de Mathématiques de Toulouse & Toulouse School of Economics
    2016
    Ce 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).

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Skill set (47)

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