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Cesar D.CD

Cesar D.

Data Analyst / Scientist

€125/day
Paris, FR
0-2 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Cesar

Hello!

I am César, a data analyst passionate about optimization, automation, and business impact. Currently interning at The Bradery, I have designed Python and SQL tools that improve brand relationships and reduce customer costs. I graduated from Imperial College London and will join the Master in Business Analytics at MIT Sloan School of Management in the summer of 2025.

I offer my skills in data (Python, SQL, dbt, PowerBI), automated writing, and database structuring for freelance missions, remote or on-site. Serious, rigorous, and creative, I enjoy solving problems as much as explaining them clearly.

Let's discuss your needs! 🚀
  • French

    Native or bilingual

  • English

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • The Bradery
    Data Analyst
    September 2024 - Today (1 year and 9 months)
    • Initiated and developed an automated Python-SQL process using pandas, os, and NumPy libraries signalling 24k+ Paris, FR late/at-risk orders to brands, increasing brand relationships and decreased client service costs by €20k
    • Identified and implemented the automation of 10k+ engaging, relevant product descriptions using OpenAI and Shopify APIs through a Python code, resulting in captivating and consistent product listings across all our collections
    • Led the transformation and optimization of the company's data warehouse using SQL and dbt Labs, significantly reducing 90% of ad-hoc requests to the Data team and fostering a culture of data-driven decision across all company sectors
  • GEP Worldwide
    Procurement Consultant
    July 2023 - September 2023 (2 months)
    • Selected by director to lead an early-proposal assessment, categorizing £650M of purchasing orders for a London, UK cost-saving assessments and identifying £1M in savings through recommendations such as supplier consolidation and renegotiations
    • Conducted interviews with advisory groups to develop the conditions and metrics for an automated vetting criterion, resulting in the inclusion of 151 additional diverse suppliers in sourcing projects
    • Designed and implemented an interactive PowerBI dashboard for a multinational pharmaceutical highlighting key insights and improvements in relation to supplier I&E across the entire chain of operations

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Education

  • Master of Science in Business Analytics
    MIT Sloan School of Management
    2026
    Master in Business Analytics (MBAn)
  • Master of Engineering
    Imperial College London
    2024
    Integrated Master of Engineering (MEng) - Mechanical Engineering

Skill set

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