Freelancer profile translated to English.

Description

Do you want to harness the full potential of your data to boost your performance? As a specialist in data science and artificial intelligence, I help companies automate their processes, design predictive models, and transform their data governance.

My expertise:

Data processing pipeline optimization (Python, SQL, Spark, Docker)

Cloud computing and secure deployment (GCP, AWS, Vertex AI)

Advanced visualization (Power BI, Tableau) and decision-making dashboard creation

Custom API development and automation (FastAPI, Jenkins, Docker Compose)

GDPR compliance consulting and technical audit

What sets me apart:

A pragmatic approach focused on business needs; customized, robust, and scalable solutions adapted to each context. I am involved in design, audit, and operational deployment missions.

Examples of projects completed:

Deployment of BI dashboards for sales performance monitoring

Automation of document analysis with AI (LLM, NLP)

Implementation of data pipelines for managing massive volumes

GDPR gap analysis and compliance recommendations

Let's discuss your needs! Every collaboration begins with a personalized exchange to identify your challenges and deliver concrete results.

Industry field of expertise

Languages

Spanish
Native or bilingual
English
Fluent
French
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km)

Engie Particuliers avec Converteo
AI Engineer, UX
ENERGY AND UTILITIES
July 2024 - May 2025 (10 months)
Paris, France
• Within the French-speaking data team, responsible for developing internal AI tools for the Customer Experience team.
• Creation of an internal chatbot connected to BigQuery for analyzing Customer Service metrics such as NPS, CSAT, and others.
• Design of an NLP pipeline (GenAI + BERTopic) for ticket classification, improving accuracy from 70% to 90%.
• Development of a GenAI agent integrated with Kibana, optimizing data analysis for Customer Service.
• Design of a Streamlit tool to enrich data via GenAI with fields generated according to specifications.
• Implementation of a classification pipeline with GenAI, reducing processing time by 40% and achieving 90% accuracy. Tech Stack: Streamlit, Langgraph, Vertex AI, Pydantic, SQL, Jenkins, Kibana
Jenkins SQL Langchain Python MLOps
Prosol
Data Scientist Intern, Marketing
RETAIL (LARGE RETAILERS)
January 2024 - April 2024 (3 months)
Paris, France
• Implemented clustering and collaborative filtering models for behavioral analysis and customer segmentation.
• Developed RFM (Recency, Frequency, Monetary Value) models to deepen the analysis of purchasing habits. Tech Stack: Scikit-Learn, Scipy, Seaborn, Python, SQL, R, Tableau
Machine Learning Tableau Clustering Marketing Analytics ETL Processes
Rappi
Analytics Engineer, Operations
E-COMMERCE
June 2022 - July 2023 (1 year and 1 month)
Lima, Peru
• Responsible for deploying pipelines, dashboards, and analyses for operational and commercial teams in several countries.
• Development of data pipelines in Snowflake and Power BI dashboards to improve strategic visibility.
• Managed the implementation of BI solutions with Looker Studio and Redash, optimizing real-time reporting.
• Created over 15 Looker Studio dashboards for external vendors, ensuring inventory and sales tracking.
• Initiatives to optimize delivery times and fraudulent activity, generating annual savings of $200,000. Tech Stack: Power BI, Looker Studio, Redash, Snowflake, Amplitude, Python
Microsoft Power BI BI Strategy Python Airflow Redash