Nov 2023 – Aug 2024 · 9 mos · France

May 2022 – Nov 2023 · 1 yr 6 mos · France

• Led intensive two to five day Build Lab sessions, accelerating databases, analytics, AI/ML, and modernization initiatives.
• Conducted one-half to two day Design Lab engagements, providing real-world architecture recommendations.
• Offered prescriptive guidance, shared best practices, and resolved technical roadblocks during Labs.
• Delivered custom-fit architectures and prototypes, enabling customers' path to production.
• Collaborated with Chief Data Officers, VPs of Data Architecture, and Builders as a Resident Architect.
• Assisted customers in refining and accelerating data strategy and solutions over six-month engagements.
• Developed expertise in AWS databases, analytics, AI/ML, serverless, and containers services.
• Cultivated relationships with AWS service experts, expanding customer network and resources.

Nov 2021 – May 2022 · 6 mos

• Developed and updated training program content, ensuring high-quality pedagogy and intervention delivery.
• Emphasized the importance of data-related skills for the future and promoted data-driven decision-making.
• Encouraged innovation through research and publication, focusing on Machine Learning and artificial intelligence.
• Fostered entrepreneurship, providing tools and support for professional projects.
• Supported colleagues in achieving their professional goals.
• Led training initiatives for cloud-based data engineering as Head Of Training - Cloud Data Engineer.
• Contributed to the growth and success of DataScientest's training programs.
• Led a team of trainers, ensuring high-quality training content delivery.
• Shaped the pedagogical approach and methodology for a comprehensive learning experience.
• Collaborated with cross-functional teams to align training with industry trends.
• Improved training content and delivery methods based on feedback and advancements.

Feb 2021 – Nov 2021 · 9 mos · Toulouse, Occitanie, France

• Worked as a Data Engineering Consultant at Devoteam, assisting clients in modernizing their Big Data platforms and preparing them for cloud adoption.
• Implemented and optimized data processing pipelines using technologies such as Spark, Hadoop, Scala, Cloudera, and Java.
• Containerized and orchestrated data applications using Docker, Kubernetes, and Helm, enabling scalable and efficient deployments.
• Integrated and utilized various data storage and querying technologies, including Redis, Kudu, PostgreSQL, Hive, and Impala, to meet specific project requirements.
• Collaborated closely with cross-functional teams and client stakeholders to gather requirements, design solutions, and ensure successful project delivery.
• Conducted performance tuning and optimization of data pipelines, enhancing the efficiency and reliability of data processing and analytics.
• Provided technical expertise and guidance to clients on data engineering best practices and recommended solutions for their specific use cases.
• Conducted workshops and training sessions to upskill client teams in data engineering technologies and methodologies.
• Worked in agile project environments, adhering to project timelines, delivering high-quality solutions, and effectively managing client expectations.
• Contributed to the growth and success of the Data Engineering practice at Devoteam, actively participating in knowledge sharing and staying updated with emerging technologies and trends in the data engineering field.

Oct 2020 – Jun 2023 · 2 yrs 8 mos

• Engaged in weekly mentorship sessions, offering expertise and industry insights to help students succeed in their learning journey.
• Assisted students in developing practical skills through hands-on projects and assignments.
• Supported students in acquiring the necessary knowledge and competencies to excel in the field of data science.
• Provided feedback, guidance, and personalized recommendations to help students overcome challenges and achieve their learning goals.
• Stayed up-to-date with the latest advancements in data science and shared relevant resources and tools with students.
• Fostered a supportive and motivating learning environment, encouraging students to explore their interests and develop their expertise in data science.
• Contributed to the overall success and impact of OpenClassrooms by nurturing a new generation of data science professionals.
• Leveraged industry experience and practical insights to bridge the gap between theoretical knowledge and real-world applications in data science.

Apr 2020 – Oct 2020 · 6 mos · Toulouse, Occitanie, France

• Worked as a Data Science Consultant at Sogeti, specializing in developing and implementing advanced data-driven solutions.
• Designed and developed a multi-stage Deep Learning system for vineyard crop yield estimation, incorporating Generative Adversarial Networks (GAN) and Mask R-CNN technologies.
• Successfully productionized the system, enabling real-time estimation of crop yield in vineyards.
• Demonstrated significant performance improvement, achieving 96% accuracy compared to a baseline accuracy of 85%.
• Collaborated with cross-functional teams and client stakeholders to understand business requirements and translate them into actionable data science solutions.
• Conducted data preprocessing, feature engineering, and model training to optimize the accuracy and performance of the crop yield estimation system.
• Implemented cutting-edge deep learning algorithms and techniques, leveraging GANs and Mask R-CNN to effectively handle complex image data and provide accurate predictions.
• Utilized Python and popular data science libraries such as TensorFlow and Keras for model development and evaluation.
• Conducted rigorous testing and validation to ensure the reliability and robustness of the developed system.
• Provided expert guidance and recommendations on data science best practices and strategies to enhance business outcomes.
• Contributed to the success of client projects by delivering high-quality, innovative data science solutions and achieving significant improvements in crop yield estimation accuracy.

May 2017 – May 2019 · 2 yrs · Paris Area, France

May 2016 – May 2017 · 1 yr · Paris, Île-de-France, France

Jun 2014 – Sep 2014 · 3 mos · Lausanne, Vaud, Switzerland