Available for data, AI & policy roles

Economist × Data Scientist

I build
intelligent
systems for
high-stakes
decisions.

I build production-minded data products for finance, public policy and operational decision-making—from statistical models and ML pipelines to deployed analytics.

Paris, France · Open to relocation
Uchechukwu Eze
DATA / ECON / ML
0+Years of experience
0+Projects
0Years of panel data
0West African economies
0ASEAN health systems

Built for the real world.

Each project moves from a real decision problem to reproducible analysis, interpretable modelling and a usable interface. Select any visual to open its dedicated GitHub repository.

Evidence across sectors.

Development, fiscal policy, financial access, hospitality, urban economics, markets and commercial performance—each card opens the exact project repository.

Global development data story covering growth, population, life expectancy, HDI and electricity access
GitHub
Development economics

Global Development Indicators

A reproducible World Bank and UNDP analysis of electricity access, internet adoption, life expectancy, infant mortality, HDI and income convergence—from API ingestion to publication-ready evidence.

1960–latestPython · Pandas · World Bank API · Seaborn
Hotel Haven booking-status count and cancellation-rate overview
GitHub
Revenue intelligence

Hotel Haven

A booking-cancellation intelligence product built on 36,285 reservations. It identifies the customers, channels and booking patterns behind revenue exposure and serves predictions through an interactive application.

32.77% cancellationPython · Scikit-learn · Joblib · Streamlit
African sovereign-debt analysis showing Nigeria's fiscal-deficit trend
GitHub
Fiscal policy

Africa’s Sovereign Debt Crisis

A 23,784-row fiscal diagnostic across 14 economies. The analysis detects unusual deficit years, forecasts Nigeria’s 2026 financing pressure and converts debt-service trends into policy scenarios.

14 economiesPython · Pandas · Forecasting · Policy simulation
A mobile-money agent serving customers in West AfricaField context · CGAP
GitHub
Financial inclusion

AFW FinanceAccess Monitor

A regional monitoring system for financial access and MSME finance in Western and Central Africa. The project standardises country indicators and turns fragmented data into comparable diagnostics.

Regional monitorPython · SQL · ETL · World Bank data
Paris Airbnb analysis showing the effect of the 2015 regulation on new hosts and prices
GitHub
Urban economics

Airbnb & Paris House Prices

An econometric investigation of whether Airbnb listing growth is associated with higher Paris property prices, including the effect of the city’s 2015 short-term-rental regulation.

Paris · policy studyPython · Econometrics · Regression · Data visualisation
Real-time stock market tracker in Google Sheets
GitHub
Live markets

Real-Time Stock Market Tracker

A live market-monitoring dashboard for 100 major stocks, bringing together current prices, daily movement, trading volume and one-year sparklines in a fast comparative view.

100 live equitiesWeb data · Analytics · Sparklines · Dashboard design
Coca-Cola sales and profitability performance dashboard
GitHub
Commercial analytics

Coca-Cola Performance Report

An Excel-based sales and profitability report that surfaces geographic, retailer and seasonal performance—turning transaction data into a concise commercial decision dashboard.

$984.7K Dec. salesExcel · PivotTables · Data cleaning · Dashboarding
Women processing cassava flour in a local value-chain facilityReal-world value chain · IFAD
View slides ↗
Market intelligence

Nigeria Cassava Value Chain

A market-intelligence study connecting Nigeria’s production scale with productivity, processing and export performance. The work turns FAOSTAT and trade data into a clear investment story for industrial starch and high-quality cassava flour.

62.6M tonnesPython · Excel · FAOSTAT · Market analysis

Economics gives me the questions. Data science gives me the tools. Product thinking makes the answer useful.

PythonSQLRMachine learningData engineeringModel deploymentFastAPIStreamlitMLflow

From evidence to impact.

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 Scientist

Production ML, analytics and policy systems

CurrentSciences Po

Master’s in Economics · Data science, AI & ML focus

ExperienceAgora Policy

Automated validation, policy research and 250+ visualisations

Experience10Alytics

Predictive modelling, forecasting and business intelligence

01

Languages & analytics

Frame the question. Prepare the evidence.

PythonSQLRExcelPandasNumPy
02

Machine learning & statistics

Model patterns. Test what holds.

Scikit-learnXGBoostLightGBMARIMAProphetSHAPMLflow
03

Visualisation

Make complex evidence immediately clear.

Power BITableauPlotlyMatplotlibSeabornDash
04

Data engineering

Build reliable paths from source to decision.

AirflowdbtSnowflakeETL pipelinesSQL databases
05

Deployment

Move useful work beyond the notebook.

FastAPIStreamlitDockerModel deploymentGit / GitHubCloud

Ideas behind the systems.

Forthcoming essays on fraud intelligence, financial stability and the economics behind useful machine-learning products.

Follow on Substack

Have a role, a data problem or an ambitious idea?

I’m open to Data Scientist, Data Analyst and Economic Policy Analyst opportunities in Paris and beyond. Let’s talk about what we can build.

Let’s talk