About Me

Building the Future with Data

Data Science & Analytics Engineer with strong mathematical foundations and hands-on experience in data pipelines, analytics, machine learning, and scientific computing. I’m passionate about bridging rigorous mathematics with real-world data systems that support strategic decision-making.

Background

My journey began with a deep passion for mathematics, which evolved into applied modeling, scientific computing, and later into data science and engineering. This unique blend enables me to approach data problems with analytical rigor and engineering precision.

Today, I am a Data Analyst at Solutions S.A., where I design and maintain ETL pipelines, build real-time dashboards, develop analytics applications in Java, Python, and .NET, and support the development of RADAR, the company’s BI & reporting platform. I work daily with SQL Server, Microsoft Fabric, and Power BI to deliver insights that support strategic and operational decision-making.

Alongside my industry work, I am also a Lecturer in Mathematics at Université Quisqueya (UniQ), and a Teaching Assistant in Data Science & AI, where I mentor students on Python, SQL, statistics, machine learning, and visualization.

Current Goals

  • Expanding mastery of Data Science and advanced Machine Learning
  • Mastering MLOps for productionizing, deploying, and monitoring ML models
  • Deepening expertise in Big Data: Spark, PySpark, KQL, Lakehouse & Fabric
  • Building scalable ML-driven systems like Recommender Engines & SmartDedup
  • Developing high-performance pipelines with DuckDB, Polars, and Arrow
  • Advancing research in mathematical modeling & scientific computing (ODE/PDE)
  • Mentoring and teaching future data professionals through academic engagement

Education

Master of Science – Mathematics & Applications

Université des Antilles • Modeling & Decision-Making Tools Track (2024–2026)

Bachelor of Science – Mathematics

École Normale Supérieure, UEH (2021–2022)

Engineer’s Degree – Civil Engineering

Faculté des Sciences, UEH (2017–2022)

MicroMasters – MITx Statistics & Data Science (Methods Track)

MITx Online (2024)

Certifications

Google Data Analytics Professional Certificate

Google

Google Business Intelligence Professional Certificate

Google

Microsoft Certified: Fabric Analytics Engineer Associate

Microsoft

Microsoft Certified: Fabric Data Engineer Associate

Microsoft

Apache Spark SQL for Data Analysts

Certification

Microsoft SQL Server Database Design Masterclass

Microsoft