
FPL Insights
Interactive analytics tool for Fantasy Premier League that uses Python, Streamlit, and XGBoost models to surface player trends, compare options, and support smarter squad decisions.
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Crafting scalable web applications and intelligent data pipelines that drive business impact

I build innovative and scalable solutions, bridging the gap between cutting-edge front-end design and robust back-end data engineering.
I specialize in building end-to-end solutions that combine modern web technologies with robust data engineering practices. My work focuses on creating scalable systems that transform raw data into actionable insights.
ESPRIT · 2019 - 2024
Focused on data warehousing, ETL processes, machine learning, and full-stack development

Interactive analytics tool for Fantasy Premier League that uses Python, Streamlit, and XGBoost models to surface player trends, compare options, and support smarter squad decisions.

End-to-end FPL data platform that ingests over one million records per week via Dockerized Spark jobs, orchestrated with Airflow, into a PostgreSQL warehouse with highly reliable automated ETL.

Power BI dashboard suite backed by a Talend-based ETL pipeline that consolidates heterogeneous global development datasets and exposes key economic and social indicators through an accessible web interface.
Coming Soon
New project currently in development, combining advanced analytics with modern fullstack engineering best practices.
DeepLearning.AI
DeepLearning.AI
Always learning and growing • More certifications in progress
Ready to start a project or discuss opportunities? Let's talk.