About Me

Moulaye Ahmed Profile Picture

I am Moulaye Ahmed Mohammed Brahim, a Data Scientist/Engineer, and Statistician-Economist from Mauritania. I hold an Engineering Degree in Statistics and Data Engineering from the Polytechnique School of Nouakchott (ESP) and completed an exchange program at the prestigious National Institute of Statistics and Applied Economics (INSEA) in Rabat, Morocco, specializing in Applied Economics, Statistics, and Big Data. My academic journey reflects a deep commitment to mastering the intersection of data science, data engineering, economics, and advanced statistical methods.

With expertise spanning machine learning, econometric modeling, big data infrastructure, and modern data engineering practices, I transform complex datasets into actionable insights that drive strategic decision-making. My work encompasses predictive analytics, DSGE modeling, spatial econometrics, and the design and implementation of enterprise-scale data platforms including Data Warehouses and Data Lakehouses. I am particularly passionate about applying cutting-edge techniques in Deep Learning, Natural Language Processing, Computer Vision, and distributed computing to solve real-world business challenges.

Education

National Institute of Statistics and Applied Economics (INSEA) — Rabat, Morocco
Exchange Program - Applied Economics, Statistics and Big Data (September 2024 - 2025)
Completed advanced coursework in statistical methods, big data technologies, spatial econometrics, DSGE modeling, and applied economic analysis.

Polytechnique School of Nouakchott (ESP) — Nouakchott, Mauritania
Engineering Degree - Statistics and Data Engineering (July 2022 - November 2025)
Comprehensive training in statistical engineering, data science, machine learning, big data infrastructure, and modern analytics methodologies.

Higher Institute of Statistics Professions (ISMS) — Nouakchott, Mauritania
Bachelor's Degree in Statistics and Applied Economics (September 2019 - July 2022)
Foundation in statistical theory, econometrics, and applied economic analysis.

El Menhel High School — Nouadhibou, Mauritania
Mathematics Baccalaureate (October 2018 - June 2019)

Professional Experience

Kinross Tasiast (TMLSA) — Mining Industry Analytics

Final Year Internship (End-of-Studies Project) (March 2025 - August 2025) — Akjoujt, Mauritania
Designed and implemented a comprehensive enterprise data platform addressing critical data fragmentation challenges in the Security Department. The solution comprised three integrated components:

  • Security Financial Workflow Management System (SFWMS): Developed a React/Django web application centralizing financial management with automated workflows, complete audit traceability, and 6-role RBAC security model.
  • PostgreSQL Data Warehouse: Implemented a Medallion architecture (Bronze/Silver/Gold layers) with star schema design for structured reporting and business intelligence, orchestrated via Apache Airflow with dbt transformations.
  • Data Lakehouse Pipeline: Engineered a high-performance analytical platform leveraging Delta Lake and ClickHouse, delivering 35-45× faster query performance for ad-hoc analytics compared to traditional approaches.

The platform integrated six heterogeneous data sources using advanced techniques including Change Data Capture (Debezium/Kafka), REST APIs (FastAPI), NLP, OCR, and Pattern Recognition via Spark ETL processors achieving 96-100% success rates. Deployed entirely on-premises using open-source technologies (Apache Spark, Airflow, PostgreSQL, ClickHouse, Delta Lake, MinIO, dbt, Apache Superset) via Docker, ensuring data sovereignty and regulatory compliance.

Key Achievements:

  • 93% reduction in report consolidation time (4 hours → 10 minutes)
  • 70% reduction in approval delays (6 days → 1.8 days)
  • 97% improvement in incident analysis speed (1 hour → 2 minutes)
  • Deployed 12 interactive Superset dashboards generating 500-800 daily queries (92% adoption rate)
  • Processed 1,200+ monthly reports and 10,000+ daily events with 94.3% data quality validation success rate
  • Prevented 247 data incidents through Great Expectations validation framework
  • Achieved MTTR < 30 minutes through Prometheus/Grafana/Loki monitoring stack
  • Enabled significant cost reduction (thousands of dollars annually) by eliminating proprietary licenses and cloud fees

Assistant Engineer (July 2024 - September 2024) — Akjoujt, Mauritania
Designed decision support tools and automated bottleneck identification systems that optimized production processes in mining operations.

The Mauritanian Fish Marketing Company (SMCP)

Data Scientist Internship (July 2023 - September 2023) — Nouadhibou, Mauritania
Developed machine learning models for demand prediction of fishery products, optimizing inventory levels and analyzing seafood export trends in Mauritania.

Central Bank of Mauritania

Final Year Internship (February 2022 - June 2022) — Nouakchott, Mauritania
Conducted comprehensive econometric analysis of inflation determinants in Mauritania from 1986 to 2020, employing Co-integration and Vector Error Correction Models (VECM) to understand monetary policy impacts.

Ministry of Petroleum, Mines and Energy

Statistician Internship (April 2021 - June 2021) — Nouakchott, Mauritania
Analyzed the domestic hydrocarbons market and developed forecasting models for liquid hydrocarbon consumption in Mauritania between 2012 and 2020.

Technical Expertise

Programming & Statistical Analysis

Python, R, SQL, Stata, SAS, GAMS — specializing in econometrics, time series analysis, and Bayesian estimation techniques.

Machine Learning & Big Data

Scikit-learn, TensorFlow, Keras, LSTM, Artificial Neural Networks, Natural Language Processing, Computer Vision. Proficient with Spark, Hadoop, Kafka, Azure, Databricks, AWS S3, Airflow, DBT, Prometheus, Grafana, DataHub, and Docker for scalable data engineering solutions.

Data Visualization & Databases

Tableau, PowerBI, GGPLOT2, Apache Superset for creating compelling visual narratives. Experienced with MySQL, PostgreSQL, MongoDB, and ClickHouse for efficient data management.

Specialized Tools & Methodologies

DSGE modeling, Computable General Equilibrium Models (CGEM), Vector Error Correction Models (VECM), Dynare, Matlab. Geospatial analysis with ArcGIS and GeoDa. Web application development using Django and Streamlit. Process improvement methodologies including Lean Six Sigma, Pareto Analysis, TRIZ, and Impact Evaluation frameworks.

Economic Modeling & Analysis

Economic Fluctuations Analysis Using RBC Model (2025)
Implemented Dynamic Stochastic General Equilibrium (DSGE) framework for analyzing U.S. economic fluctuations using Dynare, Matlab, and Bayesian Estimation techniques.

Spatial Poverty Analysis in Morocco (2025)
Combined geospatial and survey data to study regional poverty patterns using Spatial Durbin Model, leveraging R, GeoDa, and ArcGIS for comprehensive spatial econometric analysis.

Education Spending Impact Analysis (2024)
Assessed the effects of public education spending on income distribution and labour market dynamics in Morocco using Computable General Equilibrium (CGE) modeling with GAMS.

Machine Learning & AI Applications

Mauritanian License Plate Recognition System (2024)
Built an end-to-end detection and recognition system using deep learning and computer vision with Python, TensorFlow, and OpenCV.

Vulnerable Households Classification Model (2024)
Developed machine learning models for targeting vulnerable households using national survey data (EPCVM 2019-2020), employing Principal Component Analysis and Artificial Neural Networks.

Entrepreneurship & Innovation

Hydro-RIM Startup (2023)
Co-founded a startup focused on designing innovative wastewater recycling systems for car wash stations, contributing to environmental sustainability in Mauritania.

Time Series Forecasting

Electricity Production Forecasting (2020)
Developed ARIMA and SARIMA models for forecasting electricity production in Mauritania using R, supporting energy planning and infrastructure development.

Languages

Arabic — Native
French — C1 (DALF)
English — B2 (TOEIC)

Community Engagement

Mauritanian Engineering Community (November 2024 - Present)
Active member contributing to engineering initiatives and professional development activities within Mauritania's technical community.

Union For The Climate (September 2024 - Present)
Engaged in climate action initiatives and environmental sustainability projects, advocating for data-driven approaches to environmental challenges.

Personal Interests

Beyond my professional pursuits, I maintain a balanced lifestyle through sports including tennis, football, and taekwondo. I am passionate about cinema and enjoy playing the piano, which provides creative outlets that complement my analytical work.

I am always eager to collaborate on innovative projects that leverage data science and advanced analytics to create meaningful impact. Feel free to reach out through any of the social links above or visit my Projects page to explore my work in more detail.