🎓 Statistician-Economist Engineer (ISE), ENSAE Dakar — class of 2026
📊 Data science, econometrics and applied economics
💻 I work in R, Python and Stata, and build analytical apps with Shiny and Streamlit
📧 Email : sierachidtraore@gmail.com
📱 Phone : +221 77 674 66 84
🔗 LinkedIn |
Repositories |
Portfolio
Real code on real data — every title links straight to the repository.
| Project | What it does | Stack |
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| Master's Thesis — Remittances & Child Poverty | Measures the effect of migrant remittances on multidimensional child poverty in Senegal (EHCVM survey data), combining Alkire-Foster and MODA poverty indices with PSM–difference-in-differences estimation. | R · Stata · Python · LaTeX |
| Afrobarometer Senegal — Survey Pipeline | End-to-end R pipeline turning raw Afrobarometer data (1,200 respondents) into weighted individual and household tables, composite well-being indices, vulnerability segments and choropleth maps. Ships with a Shiny front-end. | R · sf · ggplot2 · Shiny |
| Time-Series Shiny Dashboard | Modular Shiny dashboard for importing, exploring and forecasting time series (ARIMA / ETS), with PostgreSQL, MySQL and SQLite connectors. | R · Shiny · Plotly · forecast · SQL |
| ALM — Bank of Africa Niger | Asset-Liability Management study of BOA Niger's 2023 financial statements: prudential ratios, gap analysis and a fully reproducible 22-page report. | R Markdown · ggplot2 · knitr |
| BRVM — Regional Stock Exchange Study | Statistical analysis of share prices on the Bourse Régionale des Valeurs Mobilières (WAEMU), from data collection through to the written report. | R |
| EITI Senegal — Extractive Industries | Internship with Senegal's national EITI chapter: mirror analysis of mining and hydrocarbon flows, sector contribution to GDP, employment and social payments (2013–2024). | Data analysis · Financial modelling |
- 📊 Data Analysis : pandas, numpy, R, Stata, SPSS
- 🤖 Machine Learning : supervised and unsupervised models (scikit-learn)
- 📈 Visualization : Matplotlib, Seaborn, Plotly, ggplot2
- 🧮 Econometrics : modeling and forecasting
- 💻 Web Development : analytical applications with Streamlit & RShiny
| Certification | Issuer | Date |
|---|---|---|
| Planification de la collecte, du traitement et de l'analyse des données | UNICEF — Agora platform | August 2026 |
| Masterclass on Artificial Intelligence | ITCILO — International Training Centre of the ILO | March 2026 |
Both are self-paced online courses. Each link points to the certificate itself or to the issuer's verification page.
- ✅ Initiative
- ✅ Creativity
- ✅ Team spirit
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ENSAE Dakar (2023 – 2026)
Statistician-Economist Engineer Program -
Polytechnic School of Ouagadougou (2021 – 2023)
Preparatory Classes – PCSI Track (Physics, Chemistry and Engineering Sciences)
My preparatory class training provided me with a solid and multidisciplinary scientific foundation, essential for my engineering studies.
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Algebraic structures Vector spaces Matrices Determinants |
Sequences and series Functions Differential and integral calculus Differential equations |
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Modeling Random variables Common distributions |
Euclidean spaces Dot products |
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Kinematics Dynamics of a point Fluid dynamics |
Electrokinetics Induction Maxwell's equations |
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Geometric and physical optics Interference Diffraction |
Fundamental laws Fluid mechanics |
Introduction to quantum mechanics
Waves
Lasers
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| Structure of matter |
Chemical kinetics Energy balances |
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Electrochemistry Crystallography |
Levels 1 & 2 |
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Algorithms Python programming Data structures OOP Databases |
Linear systems Control systems |
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Rigid body mechanics Mechanical design |
SysML language Technical drawing |
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Grammar Written expression Literary studies |
Reading comprehension Scientific writing Oral presentations |
🎓 Statistician-Economist Engineer Program (2023 – 2026)
During this training I built strong skills across several areas :
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Algebraic structures Vector spaces Matrices Determinants |
Sequences and series Functions Differential and integral calculus Differential equations |
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Modeling Random variables Common distributions |
Applied differential and integral calculus |
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| Data analysis and processing |
Machine learning Predictive models |
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Econometric studies Modeling |
Visualization Graphical data interpretation |
Comprehensive skills in data science and statistics
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| Analysis of economic agents' behavior | Study of major economic trends and policies |
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| Assessment and analysis of economic growth |
Financial management Bookkeeping |
Comprehensive skills in economics and management
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| Python programming and data analysis | Statistical analysis and modeling with R |
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| Economic and statistical data processing | Advanced statistical analysis |
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| Database management and querying | Creating interactive data applications |
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| Interactive applications with R | Excel automation and programming |
Each of these skills is backed by code you can read:
| Skill | Where to see it |
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| Statistical modelling & econometrics | MEMOIRE — Alkire-Foster / MODA indices, PSM–DiD estimation |
| Survey data processing | Afrobarometer Senegal pipeline — weighting, indices, spatial mapping |
| Interactive applications (Shiny) | Shinytemp — modular dashboard with forecasting and SQL connectors |
| Financial & actuarial analysis | ALM-PROJECT · BRVM-STUDY |
| Applied economics | EITI Senegal — extractive-sector flows and contribution to GDP |
☝️ See the Featured Projects table at the top for the full description of each.
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Football Regular sports activities |
Piano Sound technician |
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| President of the Green Helmets club (EPO, 2022–2023) | Head of sports activities for the Burkinabè Student Association at ENSAE |
I am always open to projects in data science, economic analysis and analytical & web development.
"Statistics and data science are powerful tools to understand and transform the world." 📊✨