DT.DIEGO TORRESDATA · SOFTWARE · AI
FRCV ↓
PERSONAL PORTFOLIO FRANCE

Turning data
into insight.

I connect data, artificial intelligence and business software development.

Data Engineer · Python · Machine Learning · Business Applications

Master’s degree in Big Data & AI · ESTIAMFrom analysis to delivery
Portrait of Diego TorresDATA
& AI
DIEGO TORRESDATA ENGINEER · SOFTWARE · AI
01 / PROFILE

Grounded in
real-world needs.

My background spans ERP and business application development, data analysis and predictive modelling.

This portfolio presents each experience separately, alongside case studies and the skills used in each project.

PORTFOLIO SNAPSHOT

Key facts
at a glance.

Indicators drawn from my CV and from the category table in the Pricing report.

Each indicator links to a page with its context.
02 — EXPERIENCE

Explore each
career step.

Filter by skill area, then open a page for the projects, tools and contributions.

FILTER BY SKILL3 experiences
03 — TIMELINE

A career
in motion.

From ERP development to Data & AI, each step connects software, business needs and data-driven decisions.

04 — FEATURED PROJECTS

Work in
context.

Four case studies covering reporting, Pricing analysis, business tools and ERP customisation.

05 — SKILL MAP

Skills in
context.

Select a skill area to filter the matching experiences.

Choose an area to filter the experience cards.

Learn,
then apply.

2023 — 2025

Master’s in Big Data & Artificial Intelligence

ESTIAM · Lyon

Machine Learning · Deep Learning · Big Data Analytics · advanced Python · Pandas · scikit-learn · predictive analysis · visualisation
Skills / programme
  • Advanced Python and Pandas data workflows
  • Machine Learning, Deep Learning and predictive modelling
  • Big Data analysis, data preparation and visualisation
  • Model evaluation and interpretation of metrics
2020 — 2023

Bachelor’s in Computer Science

CNAM · Chalon-sur-Saône

Programming · algorithms · databases · web development · systems · software design
Skills / programme
  • Algorithms and programming fundamentals
  • Database design and SQL queries
  • Web development and software design
  • Systems fundamentals and problem-solving
TOOLS & SKILLS

A cross-functional
toolkit.

Technologies and methods listed in the CV and experience pages, grouped by area.

01 · DATA & AI

Analyse and model

  • Python · Pandas · scikit-learn
  • Machine Learning · Deep Learning
  • Predictive models and classification
  • Power BI · SQL
  • Data analysis and visualisation
02 · DEVELOPMENT

Build applications

  • Python · Django
  • JavaScript · Vue.js · React.js · Node.js
  • HTML and Full Stack development
  • C++ · C#
  • REST APIs and ERP customisation
03 · DATA & TOOLS

Structure and collaborate

  • MySQL · MongoDB · NoSQL
  • Azure DevOps · GitHub · Trello
  • NetSuite · Power BI
  • Agile · Scrum · Kanban
  • ReportLab · PDF generation
04 · LANGUAGES & STRENGTHS

Work with others

  • French: native
  • Spanish: advanced
  • English: proficient
  • Analytical mindset · autonomy · rigour
  • Teamwork · curiosity

Build a responsible
Data practice.

I want to deepen my skills in Data Science and Data Engineering, with a focus on cloud, MLOps, data governance and explainability.

TECHNICAL

Industrialise

Develop cloud and MLOps skills.

RESPONSIBILITY

Explain

Explore explainable AI, ethics and model bias.

COMMUNICATION

Make it clear

Connect technical results with useful decisions.

08 — CONTACT

Have a Data
project to explore?

Data engineering, machine learning or business software: let’s talk.

dieg.torres64@gmail.com ↗
The form opens your email app with a prefilled message.
DT.DATA
ENGINEER