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Hugo LabordeHL

Hugo Laborde

Junior Data Analyst

€200/day
Nice, FR
0-2 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Hugo

Do you have data, but are you mainly looking to extract concrete value from it?
I will support you from start to finish to transform your data into reliable decision-making tools and operational solutions.

Data scientist specializing in machine learning and deep learning, I design tailor-made models to address your business challenges: prediction, classification, recommendation, text analysis (NLP), or automation of complex processes. I am involved in the data exploration and cleaning phase as well as in the development, evaluation, and deployment of models.

- What sets me apart:

A business-oriented approach, not just technical performance
A strong experience on concrete projects (convolutional neural networks, NLP, APIs, data pipelines)
Clear, documented, and maintainable solutions, designed to be used and understood

- Types of projects and deliverables:

Machine learning / deep learning models (Python, PyTorch, scikit-learn)
Data analysis and valorization (exploration, visualization, indicators)
NLP models (text analysis, scoring, summarization, classification)
APIs (FastAPI) and integration into existing tools
Dashboards, automated scripts, technical documentation

Whether you are a startup, an SME, or a consulting firm, I adapt to your context to provide you with a robust, pragmatic, and directly usable solution.
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Nice (up to 50km)

Experience

  • Mycophyto,
    Junior Data Analyst Intern
    March 2025 - September 2025 (6 months)
    France
    ○ Responded to day-to-day analytical requests from business and R&D teams (performance tracking, activity monitoring).
    ○ Designed and maintained structured databases to ensure consistency, accuracy, and reliability of reported numbers.
    ○ Extracted and validated data using SQL and Python to support short-term operational and strategic decisions.
    ○ Built recurring and ad-hoc reports to monitor key indicators and project performance.
    ○ Developed Power BI dashboards to visualize KPIs and support internal reporting needs.
    ○ Worked closely with non-technical stakeholders to explain results clearly and answer routine data questions.
    ETL processes Database management Data visualisation Data science Python
  • Universit´ e Laval,
    Data Analyst (Research Intern)
    April 2024 - August 2024 (4 months)
    Québec, Canada
    ○ Analyzed large numerical datasets to evaluate model performance and detect anomalies.
    ○ Supported senior researchers by providing validated data extracts and summary reports.
    ○ Ensured data quality and consistency across multiple simulation outputs.
    Python Deep Learning Numerical simulation

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Education

  • Engineering Degree
    ESILV Engineering School
    2025
    Engineering Degree
  • Preparatory Class (PC)
    Lycée Saint-Joseph
    2021
    Preparatory Class (PC)

Skill set

Categories