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MatALass/README.md

Mathieu Alassoeur

Data Analyst | BI Engineer | Analytics Engineering

Final-year Engineering Student — EFREI Paris

About

I design and build reliable data systems transforming raw, inconsistent data into:

  • structured datasets
  • actionable KPIs
  • decision-ready dashboards

My approach combines:

  • data engineering rigor
  • business-oriented analytics
  • reproducible and scalable workflows

Professional Experience — ISM (Germany)

Data Analyst Intern (Completed)

Worked on improving the reliability and usability of institutional data systems.

Key Contributions

  • Designed data cleaning & normalization pipelines (Academy5 student data)
  • Implemented data quality validation frameworks (consistency, duplicates, missing data)
  • Integrated external APIs (Targroup → HubSpot synchronization)
  • Structured academic KPIs for performance monitoring
  • Automated dashboard-ready datasets

Impact

  • Improved data consistency across multiple systems
  • Reduced manual data cleaning workload
  • Enabled more reliable academic reporting

Projects

BI Cultural Consumption Dashboard

Interactive Streamlit dashboard analyzing socio-demographic indicators.

https://github.com/MatALass/dataviz-dashboard

Highlights

  • KPI-driven analysis design
  • Interactive visual exploration
  • Business-oriented insights
  • Clean data transformation pipeline

School Transport Analytics Dashboard

Operational analytics project focused on efficiency and environmental performance.

https://github.com/MatALass/school-bus-dashboard

Highlights

  • Operational dataset modeling
  • KPI definition (efficiency, environmental impact)
  • Analytical reporting logic
  • Decision-support insights

Technical Skills

Data & Analytics

  • SQL (advanced joins, aggregations, validation logic)
  • KPI modeling & metric design
  • Data quality frameworks

Python

  • Pandas, NumPy
  • Data cleaning pipelines
  • Exploratory analysis
  • Data preparation for dashboards

BI & Visualization

  • Streamlit
  • Power BI (learning)

Engineering Practices

  • Modular project structure (src-based)
  • Reproducible pipelines
  • Git & version control

Tools

Python | SQL | Streamlit | Git | Power BI

Portfolio

GitHub
https://github.com/MatALass

Career Objective

Seeking a Data Analyst / BI / Analytics Engineering apprenticeship
Starting September — Paris

Contact

LinkedIn
https://www.linkedin.com/in/mathieu-alassoeur/

GitHub
https://github.com/MatALass

Pinned Loading

  1. github-portfolio-auditor github-portfolio-auditor Public

    Deterministic GitHub portfolio auditor that scores, ranks, and optimizes repositories with actionable insights and a Streamlit dashboard.

    Python

  2. digital-cultural-consumption-analytics digital-cultural-consumption-analytics Public

    Interactive Streamlit dashboard analyzing socio-demographic and digital factors influencing cultural consumption in France using open public data.

    Python

  3. school-bus-decision-system school-bus-decision-system Public

    Data-driven decision system to prioritize electric school bus deployment across U.S. districts, combining analytics, scoring, and interactive visualization.

    Python

  4. anssi-vulnerability-intelligence anssi-vulnerability-intelligence Public

    Offline-first Python project for ANSSI bulletin analysis, CVE enrichment, risk prioritization, and Streamlit decision support dashboard.

    Python 1

  5. footpredict-pl footpredict-pl Public

    Premier League match prediction (Home Win) with Elo + form features, walk-forward backtesting, and Streamlit dashboard.

    Python

  6. automata-toolkit automata-toolkit Public

    Production-grade CLI tool to parse, validate, and transform finite automata (determinization, minimization, recognition) with strong test coverage and clean architecture.

    Python