👋 Hi, I’m Donatien Konan — Data Engineer × Data Scientist × Energy Scientist
A motivated Data Science and Data Engineering Major
Here’s a breakdown of my education:
- 🎓 MSc in New Technologies for Energy — specializing in electrochemical storage & battery characterization @ Université de Tours (France)
- 🎓 MSc in Data Science @ OpenClassrooms (Paris)
- 🎓 Data Engineering Bootcamp @ Le Wagon (Paris)
Together, they form the foundation of my approach: bridging fundamental science, data intelligence, and robust engineering to accelerate R&D — especially in energy and industrial applications.
- 🔬 Deep knowledge of battery physics & chemistry : materials, aging, performance modeling, lab characterization(e.g., CV, EIS, cycling tests)
- 📊 Skilled in data science (Python, Scikit-Learn, Predictive Modeling (Deep Learning / Machine Learning))
- ⚙️ Build production-grade data pipelines (Airflow, Spark, dbt, Docker, FastAPI, CI/CD)
- 📈 Turn complex lab/field data into actionable insights (Plotly, Streamlit, SQL, PostgreSQL, ClickHouse DB)
I thrive where science meets software — in R&D environments that value rigor, reproducibility, and impact.
- 📬 Let’s collaborate:
- 🧑 Pronouns: He/Him
- 🔗 Projects: github.com/donat-konan33
