Talardia Gbangou

Are your data projects moving too slowly? Are your pipelines fragile, your ML models failing to deploy to production, your data volumes exploding, and your stack unable to keep up? Your teams are spending more time fixing than producing. This is exactly where I come in.

With a PhD in Climate Modeling, specializing in data engineering and valorization (Big Data Analysis, Data Analysis, and Data Science), I have worked in demanding environments (Météo-France, Ineris). I understand technical debt, hastily built architectures, and deadline pressure.

Data Engineering & Big Data:

Unstable pipelines, manual flows, slow SQL queries, data scattered across APIs, databases, and files? I stabilize, structure, and automate. For large volumes: distributed processing with Spark, PySpark, Scala, NoSQL storage (MongoDB, Elasticsearch). Documented, maintainable code that your teams can take over independently.

Machine Learning & Data Science:

Are your models failing to deploy to production or losing accuracy? I handle preprocessing, feature engineering, and predictive modeling: forecasting in health, finance, and weather. Actionable results, not just notebooks gathering dust.

Dashboards & Visualization:

Inconsistent Power BI dashboards, contradictory metrics? I bring order and produce a single, reliable source of truth for your decision-makers.

Data Training:

Python, SQL, algorithms, Spark, ML: practice-oriented training to quickly upskill your teams on concrete use cases.