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I am Jean Luis Soto, a Data Scientist based in Paris with over four years of experience implementing data-oriented solutions that generate impactful results across the Energy, Finance, and Consumer Goods sectors. Throughout my career, I have participated in multidisciplinary projects and excelled at communicating complex ideas to stakeholders, driving value through data science and AI transformation. Currently pursuing a Data Science M.Sc. while actively contributing to AI and data projects, I specialize in building intelligent pipelines, integrating generative AI, and optimizing business processes. My technical toolkit includes Python, SQL, cloud platforms, and advanced machine learning frameworks, enabling me to deliver innovative solutions to diverse industry challenges.…I am Jean Luis Soto, a Data Scientist based in Paris with over four years of experience implementing data-oriented solutions that generate impactful results across the Energy, Finance, and Consumer Goods sectors. Throughout my career, I have participated in multidisciplinary projects and excelled at communicating complex ideas to stakeholders, driving value through data science and AI transformation. Currently pursuing a Data Science M.Sc. while actively contributing to AI and data projects, I specialize in building intelligent pipelines, integrating generative AI, and optimizing business processes. My technical toolkit includes Python, SQL, cloud platforms, and advanced machine learning frameworks, enabling me to deliver innovative solutions to diverse industry challenges.

Jean Luis Soto

Data Scientist, AI Engineer, AI Strategy Consultant, +2

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I am Jean Luis Soto, a Data Scientist based in Paris with over four years of experience implementing data-oriented solutions that generate impactful results across the Energy, Finance, and Consumer Goods sectors. Throughout my career, I have participated in multidisciplinary projects and excelled at communicating complex ideas to stakeholders, driving value through data science and AI transformation. Currently pursuing a Data Science M.Sc. while actively contributing to AI and data projects, I specialize in building intelligent pipelines, integrating generative AI, and optimizing business processes. My technical toolkit includes Python, SQL, cloud platforms, and advanced machine learning frameworks, enabling me to deliver innovative solutions to diverse industry challenges.…I am Jean Luis Soto, a Data Scientist based in Paris with over four years of experience implementing data-oriented solutions that generate impactful results across the Energy, Finance, and Consumer Goods sectors. Throughout my career, I have participated in multidisciplinary projects and excelled at communicating complex ideas to stakeholders, driving value through data science and AI transformation. Currently pursuing a Data Science M.Sc. while actively contributing to AI and data projects, I specialize in building intelligent pipelines, integrating generative AI, and optimizing business processes. My technical toolkit includes Python, SQL, cloud platforms, and advanced machine learning frameworks, enabling me to deliver innovative solutions to diverse industry challenges.

Available to hire

I am Jean Luis Soto, a Data Scientist based in Paris with over four years of experience implementing data-oriented solutions that generate impactful results across the Energy, Finance, and Consumer Goods sectors. Throughout my career, I have participated in multidisciplinary projects and excelled at communicating complex ideas to stakeholders, driving value through data science and AI transformation.

Currently pursuing a Data Science M.Sc. while actively contributing to AI and data projects, I specialize in building intelligent pipelines, integrating generative AI, and optimizing business processes. My technical toolkit includes Python, SQL, cloud platforms, and advanced machine learning frameworks, enabling me to deliver innovative solutions to diverse industry challenges.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

Spanish; Castilian

Fluent

English

Advanced

French

Intermediate

Work Experience

Consultant Data x IA Transformation, UX at Converteo for Engie Particuliers

November 1, 2024 - Present

Led development of data-driven AI solutions including an internal chatbot connected to BigQuery for customer service metric analysis (NPS, CSAT), a GenAI agent integrated with Okta and Kibana for client intranet interaction analysis, and an NLP pipeline combining GenAI and BERTopic to classify tickets with improved accuracy from 70% to 90%. Analyzed chatbot effectiveness and billing claims through data analytics to identify opportunities for enhancement. Created a Streamlit tool that enriches structured data with AI-generated fields per user specifications.

Data Science Intern at Engie Particuliers

November 1, 2024 - August 13, 2025

Developed a classification pipeline leveraging GenAI that reduced processing time by 40%, achieving 90% accuracy. Integrated GenAI models into the customer experience (CX) data team’s CI/CD pipeline using GitHub and Jenkins to automate model deployments.

Data Scientist Intern at Prosol

April 1, 2024 - August 13, 2025

Implemented clustering and collaborative filtering models to analyze customer behavior and segmentation. Developed RFM (Recency, Frequency, Monetary Value) models to deepen insights into purchasing habits within each segment.

Business Intelligence Specialist, Operations at Rappi

July 1, 2023 - August 13, 2025

Developed Snowflake data pipelines and Power BI dashboards for regional leaders to improve strategic visibility. Led the implementation of real-time BI solutions consolidating reports with Redash. Created over 15 Looker Studio dashboards for vendor stock and sales tracking. Managed initiatives to optimize delivery lead times, reduce cancellations, and detect fraudulent activity, resulting in annual savings of $200,000.

Senior Consultant at Management Solutions

June 1, 2022 - August 13, 2025

Optimized a SAS risk assessment tool by automating multi-source ETL and improving accuracy by 80%. Enhanced banking after-sales service processes, increasing customer satisfaction by 10%. Led automation of bank stress testing ETL and VBA pipelines, reducing processing time by 80%. Developed Customer Lifetime Value (CLV) models for precise segmentation and sales opportunity identification.