Hi, I’m Uchechukwu—a Data Scientist with 3+ years of experience building decision-ready systems across finance, policy and operational analytics.
I’m completing a Master’s in Economics at Sciences Po, with a strong focus on data science, AI and machine learning. Alongside my studies, I develop real-world products that combine statistical modelling, machine learning and data engineering.
At Agora Policy, I automated data-validation workflows for millions of financial and economic records from sources including Nigeria’s National Bureau of Statistics, the World Bank and the IMF. I also created 250+ publication-ready visualisations and supported policy research, economic analysis and data-driven reporting.
At 10Alytics, I built and compared classification, regression and forecasting models with Scikit-learn, ARIMA and Prophet, then communicated the results through Power BI, Tableau and Python-based visualisations.
I specialise in end-to-end data products: statistical models and ML pipelines with Scikit-learn and MLflow; ETL systems using Airflow, dbt and Snowflake; and deployable analytics powered by FastAPI, Streamlit and cloud infrastructure. My goal is to move work beyond the notebook into systems people can use.
I’m currently seeking Data Scientist, Data Analyst and Economic Policy Analyst roles where I can build scalable systems, ship meaningful code and collaborate with teams solving difficult, high-impact problems.
NowData ScientistProduction ML, analytics and policy systems
CurrentSciences PoMaster’s in Economics · Data science, AI & ML focus
ExperienceAgora PolicyAutomated validation, policy research and 250+ visualisations
Experience10AlyticsPredictive modelling, forecasting and business intelligence
01Languages & analytics
Frame the question. Prepare the evidence.
PythonSQLRExcelPandasNumPy
02Machine learning & statistics
Model patterns. Test what holds.
Scikit-learnXGBoostLightGBMARIMAProphetSHAPMLflow
03Visualisation
Make complex evidence immediately clear.
Power BITableauPlotlyMatplotlibSeabornDash
04Data engineering
Build reliable paths from source to decision.
AirflowdbtSnowflakeETL pipelinesSQL databases
05Deployment
Move useful work beyond the notebook.
FastAPIStreamlitDockerModel deploymentGit / GitHubCloud