Hello, I'm El Moustpha

Data Engineer & Full Stack Developer

El Moustpha Cheikh Jiddou
AboutI am Data Engineer

State Engineer in Statistics & Data Engineering, Higher Polytechnic School & Data Enthusiast — turning raw data into meaningful insights.

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Current Tech Stack

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Python
R
Julia
Scala
Java
JavaScript
PySpark
VBA
Bash
Stata
SPSS
Eviews
GAMS
Sphinx
Skills & Technologies

My Tech Stack

Discover my technology stack and the tools I use to build modern web applications.

Programming Languages

Core languages used across data, backend and scripting work.

Python
R
Julia
Scala
Java
JavaScript
PySpark
VBA
Bash

Statistics, Econometrics & Survey Tools

Software for statistical analysis, econometric modeling, economic analysis and field data collection.

Stata
SPSS
Eviews
GAMS
Sphinx
KoboToolbox
ODK Collect
CSPro
ERETES

Frontend Development

Technologies for building modern, responsive web interfaces.

React
Next.js
HTML5
CSS3
Tailwind CSS
Flutter

Data Engineering & Backend

Server-side frameworks and pipelines for moving and processing data.

Django
Flask
FastAPI
Spring Boot
Hadoop
Spark
Kafka
n8n
Airbyte
dbt

Databases & GIS

Data storage and spatial analysis technologies.

PostgreSQL
Oracle
QGIS
ArcGIS

AI & Machine Learning

Frameworks for deep learning, NLP/RAG and MLOps.

TensorFlow
PyTorch
Keras
MLflow

Data Science & Dev Tools

Everyday tools for analysis, visualization and version control.

NumPy
Pandas
Plotly
Gradio
Power BI
Kaggle
Git
GitHub
Linux
LaTeX
Excel

Collaboration & Dev Environments

Project tracking and editors used for day-to-day development work.

Jira
Trello
VS Code
Cursor
Who I Am

About Me

El Moustpha Cheikh Jiddou

State Engineer in Statistics and Data Engineering from École Supérieure Polytechnique (ESP), Mauritania. Working as a Data Systems & IT Architecture intern at the Banque Nationale de Mauritanie — building a centralized data warehouse, containerized microservices, and a secure multi-LLM RAG chatbot integrated with WhatsApp.

I've also completed a macroeconomic research internship at the Banque Centrale de Mauritanie (DSGE modeling of monetary regimes) and a geotechnical engineering internship at Kinross Gold (Tasiast), building monitoring dashboards and short-term forecasting tools.

My stack spans Python, Next.js, PostgreSQL + pgvector, Docker, and LaTeX — with a strong interest in applied AI, data pipelines, and systems that actually work in production. As President of the ESP Data Club, I led projects that encourage collaboration and learning in data science.

Academic Path

Education

October 2023 – June 2026

State Engineer in Statistics and Data Engineering

Higher Polytechnic School of Nouakchott (ESP)

Mauritania

October 2025 – February 2026

Exchange Semester: Computer Engineering & Networks

École Nationale Supérieure d'Informatique et d'Analyse des Systèmes (ENSIAS)

Rabat, Morocco

October 2023 – June 2025

Master's in Applied Econometrics and Statistics – Economic Statistical Engineering Track

Faculty of Economic Sciences and Management (FSEG)

Mauritania

October 2020 – June 2023

Bachelor's in Applied Statistics

Higher Institute of Statistical Professions (GP)

Mauritania

Career

Professional Experiences

Richat Partners

Data & AI Engineer

Aug 2026 – Present Nouakchott
  • Design and implementation of AI and data solutions for strategic consulting missions.
  • Development of data pipelines and machine learning models to support decision-making in digital transformation, investment, and strategy projects.
  • Collaboration with multidisciplinary teams to translate business needs into technical solutions.
  • Contribution to the firm's AI offerings: LLM integration, RAG systems, predictive analytics, and data-driven advisory.

Banque Nationale de Mauritanie (BNM)

Data Systems & IT Architecture Intern

Feb 2025 – Jul 2026 Nouakchott
  • Designed and implemented a centralized enterprise Data Warehouse backed by robust ELT pipelines, automated flow orchestration, and predictive models.
  • Architected and deployed a containerized microservices infrastructure over isolated Docker networks on on-premise production servers.
  • Built a secure conversational agent (Click) connected to the WhatsApp REST API, with a custom NLU module for dynamic query routing.
  • Implemented a RAG (Retrieval-Augmented Generation) architecture with PostgreSQL/pgvector to index and query official banking documentation without data leakage.
  • Benchmarked several LLMs (GPT-4o, Claude 3.5, Gemini 1.5, local Llama) to balance performance, infrastructure cost, and strict confidentiality.
  • Developed sequential neural network models (LSTM, GRU) to anticipate rapid photovoltaic power drops and plan for critical infrastructure resilience.
  • Environment: Python (FastAPI), Data Warehousing, ELT pipelines, Docker, N8N, PostgreSQL (pgvector), PyTorch, React, REST APIs, Linux/Bash.

Institut Supérieur des Métiers de la Statistique (ISS)

Lecturer — Poverty & Household Living Conditions + Sociological Survey Methods

Feb 2026 – Jun 2026 Nouakchott
  • Renewed for a second consecutive year with an additional course module.
  • Taught Poverty and Household Living Conditions module (improved edition).
  • Designed and delivered a new module: Sociological Survey Methods (survey methodology, sampling, questionnaire design, data analysis).
  • Supervised tutorials and practical sessions with field survey simulations using KoboToolbox, CSPro, and Stata.
  • Directed and evaluated final-year projects (PFE) and supervised worker internships.
  • Developed course materials, case studies, and evaluation frameworks for both modules.

Lecturer — Poverty and Household Living Conditions

Feb 2025 – Jun 2025 Nouakchott
  • First higher education teaching experience at the institution from which I graduated.
  • Prepared and delivered lectures on poverty measurement methodologies and household living conditions analysis.
  • Designed and supervised tutorials (TD) and practical sessions (TP), using real case studies from national household surveys.
  • Provided personalized academic support and continuous student monitoring throughout the semester.
  • Supervised final-year projects (PFE) and worker internships, with mentoring on methodological and technical aspects.

Banque Centrale de Mauritanie (BCM) — Economic Studies & Monetary Stability

End-of-Studies Internship — Macroeconomic Analysis & DSGE Modeling

Feb 2026 – May 2026 Nouakchott
  • Produced a master's thesis in Econometrics and Applied Statistics comparing monetary regimes in Mauritania using a small open-economy DSGE model.
  • Analyzed monetary policy transmission mechanisms, inflation, exchange rate dynamics, and macroeconomic trends in the Mauritanian context.
  • Structured macroeconomic and monetary time series from BCM, ANSADE, and international databases for calibration and simulation.
  • Contributed to the department's conjunctural analysis, macroeconomic forecasts, and monetary statistics.
  • Environment: Econometrics, DSGE, macroeconomic analysis, Python, R, Excel, Julia, GAMS.

Kinross Gold Corporation (Tasiast)

Assistant Engineer Intern — Mining & Geotechnical Department

Jul 2025 – Sep 2025 Tasiast, Mauritania
  • Wall Compliance & 80/80: built a Python/Gradio dashboard for Toe/Crest/Berm Width/BFA monitoring from CALC and COMPLIANCE files, with auto-detection, KPIs, and trend tracking.
  • Daily Survey digitization: Microsoft Forms → SharePoint/Excel Web → Power BI pipeline with near real-time KPIs (% Done, Backlog, SLA Breach).
  • PV short-term forecasting: prepared minute-level data (lags, ramps, time encodings) and prototyped LSTM/GRU models to anticipate power drops.
  • Environment: Python (NumPy, pandas, Plotly, Gradio), Power BI, SharePoint/Excel Web, Git.

Caisse des Dépôts et de Développement (CDD)

End-of-Study Internship

Feb – Jun 2023 Nouakchott
  • Analyzed banking data from CDD to assess the impact of the credit guarantee system on loan defaults in Mauritania.
  • Used econometric models and modern machine learning approaches to predict default risks.
  • Prepared and interpreted statistical reports on the socio-demographic and financial characteristics of borrowers.
  • Developed computational solutions for risk analysis using logistic regression, k-NN, and Random Forest.

ANSADE

Enumerator

Jul – Aug 2022 Nouakchott
  • Collected field data for the pilot General Population and Housing Census (RGPH).
  • Skills acquired: data collection, communication, and fieldwork.

Worker Internship

Apr – Jun 2022 Nouakchott
  • Developed a methodology for data mapping to design sectoral accounts.
  • Participated in the collection and processing of economic branch data for national accounts.
  • Analyzed sectoral data using ERETES software to compile economic accounts.
  • Trained on GDP decomposition techniques as part of the International Comparison Program.
  • Contributed to the national survey process for the mobilization and quantification of ZAKAT.
Character

Soft Skills

Soft Skills

Leadership, project management, communication, teamwork, adaptability.

Beyond the Data

Languages & Associative Life

Languages

ArabicNative Language
FrenchDALF C1
EnglishCEFR B1 — Tracktest English Assessment

Associative Life

  • ISS Alumni Association
    President
  • Association des Statisticiens Mauritaniens
    Events & Programs Officer
  • ESP Data Club
    President: January 2023 – April 2025
    Event Coordinator: October 2022 – January 2023
  • Clubs Leaders Étudiants Francophones (CLEF)
    Member
  • Mauritanian Engineering Community (MEC)
    Member
  • Military Training
    Participant
Achievements

Achievements

1st Place, RIMAI Data Science Challenge 2024

Competition focused on license plate recognition using AI techniques.

Learn more

Organizer, First Datathon in Mauritania

Three-day competition centered on Mauritanian data analysis. As ESP Data Club president, supervised the organization and judged competitors through data science challenges.

Continuous Learning

Certifications

Relational Database (v8)

freeCodeCamp · November 2025

Data Manipulation in SQL

DataCamp · November 2023

Google Advanced Data Analytics Capstone

Google · November 2023

Google Advanced Data Analytics Professional Certificate

Google · November 2023

Intermediate SQL

DataCamp · November 2023

Introduction to Data Science in Python

DataCamp · November 2023

Python Data Science Toolbox (Part 2)

DataCamp · November 2023

Understanding Data Engineering

DataCamp · November 2023

Writing Efficient R Code

DataCamp · November 2023

Google Data Analytics

Google · September 2023

Data Visualization

freeCodeCamp · January 2023

Intermediate Python

DataCamp · November 2022

Intermediate R

DataCamp · November 2022

Introduction to Version Control with Git

DataCamp · November 2022

Data Analysis with Python

freeCodeCamp · October 2022

Scientific Computing with Python

freeCodeCamp · October 2022

Front End Development Libraries

freeCodeCamp · September 2022

Responsive Web Design

freeCodeCamp · August 2022

Beyond Work

Interests

CodingTravelFootballTourism
Portfolio

Projects

A selection of data science, statistics and web development projects — each solving a real-world problem.

Grain Size Analysis of 316L Microstructure
Data Science

Grain Size Analysis of 316L Microstructure

Computer-vision pipeline segmenting grain boundaries in 316L stainless steel micrographs (500×), comparing thresholding, gradient filters, HED, and a U-Net model, with a Gradio interface to extract grain size statistics.

View Code
Agricultural Data Analysis System (Smart Greenhouse)
Data Science

Agricultural Data Analysis System (Smart Greenhouse)

Design and development of an intelligent system for analyzing agricultural data, specifically for greenhouses.

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DataMine App
Web Development

DataMine App

Collaborative platform for managing and tracking tasks on a geostatistical data project, with an interface for visualizing task progress on GitHub.

View Code
Disaster Tweets NLP Classification
Data Science

Disaster Tweets NLP Classification

Development of a machine learning model to classify tweets related to natural disasters.

View Code
Survey Management Application
Web Development

Survey Management Application

Design and implementation of a survey management application to facilitate data collection and tracking.

View Code
Survey on the Perception of Influencers
Statistics

Survey on the Perception of Influencers

Design and implementation of a survey on the perception of influencers in Mauritanian society.

Coming Soon
Grade Management Application
Web Development

Grade Management Application

Backend development with the Flask framework and use of HTML, CSS, and JavaScript for the frontend.

View Code
Determinants of Academic Performance in Mauritania
Statistics

Determinants of Academic Performance in Mauritania

Analysis of the factors influencing academic performance in Mauritania using R.

Coming Soon
Bridging the Future Baseline Data Challenge
Data Science

Bridging the Future Baseline Data Challenge

A data analysis and predictive modeling project aimed at improving primary school reading proficiency in Mauritania across regions of Tagant, Gorgol and Brakna under the USDA-funded initiative.

View Code
Poverty & Inequality Forecasting in Mauritania
Statistics

Poverty & Inequality Forecasting in Mauritania

Forecasts four key poverty indicators from 1996 to 2030 using survey data and interpolation techniques to support policy planning.

View Code
Modeling the Drivers of Mauritania's GDP with an ARDL Framework
Statistics

Modeling the Drivers of Mauritania's GDP with an ARDL Framework

Econometric modeling of Mauritania's growth dynamics using an AutoRegressive Distributed Lag (ARDL) model in R.

View Code
Data Management Platform for the NCPI (ANSADE Project)
Web Development

Data Management Platform for the NCPI (ANSADE Project)

A Django web application for managing and analyzing data related to the National Consumer Price Index (NCPI).

View Code
RAG-WebSystem
Data Science

RAG-WebSystem

End-to-end Retrieval-Augmented Generation engine: FAISS-based semantic search over indexed documents, contextual answer generation with an open-source model, exposed via a FastAPI backend and a React + Tailwind interface.

View Code

Let's Talk

Have a project, opportunity, or just want to connect? Drop me a message — I'd love to hear from you.

elmoustapha.cheikh.jiddou@gmail.com

— or reach me at —

+222 48 64 73 76