Lorenzo Cardenas initials

AI & Machine Learning Specialist

AI & Machine Learning Specialist with an MSc in Artificial Intelligence & Machine Learning from the University of Birmingham, focused on applying advanced computational techniques to solve complex business problems and drive optimization.

Professional Summary

Results-driven Data Scientist and AI specialist, currently completing my MSc in Artificial Intelligence & Machine Learning at the University of Birmingham. With a foundational background in Economics and Finance, I possess a unique perspective on applying advanced computational techniques to solve complex business problems. My passion lies in leveraging AI and ML to drive business optimization, automate processes, and extract actionable insights from data.

My professional experience is centered on designing, developing, and deploying end-to-end machine learning solutions. I have a proven track record of delivering significant business value, such as improving net revenue forecasting accuracy by 15% using N-BEATS models, reducing manual compliance analysis time by 40% through automation pipelines, and lowering operational costs by 10% with AI-driven process optimization. I am skilled in the full project lifecycle, from data ingestion and ETL pipeline construction to model training, deployment, and MLOps.

Professional Experience

Jul 2023 - Present

Data Scientist

Txool Evolución (Remote)

  • Built machine learning-driven automation pipelines for SAP governance and compliance, reducing manual SoD checks by 40%.
  • Applied process mining and ML analytics to COGS workflows for a global FMCG enterprise, enabling predictive insights and AI-driven redesign of business processes.
  • Developed LLM-powered PDF parsers for financial data extraction, automating ETL workflows and improving accuracy in reporting pipelines.
  • Designed Power BI dashboards integrated with ML models to deliver explainable insights to non-technical stakeholders.

Feb 2025 - Apr 2025

Intern (MCTI Programme)

Severn Trent (Birmingham, UK)

  • Proposed an AI-integrated chitosan membrane concept for sustainable water treatment.
  • Applied CRISP-DM methodology to assess feasibility, economic impact, and chemical reduction potential.
  • Delivered a final team presentation to Severn Trent stakeholders.
  • 📜 MCTI Programme Certificate

Feb 2023 - Jul 2023

Data Analyst

Zint3ch (Monterrey, NL, Mexico)

  • Designed ETL pipelines on Azure Data Factory to feed ML-ready datasets into Microsoft Data Lake and Azure SQL.
  • Implemented an NLP clustering model (BERTopic) in Python to classify duplicate SAP materials, improving master data governance.
  • Delivered real-time Power BI dashboards backed by Azure pipelines for procurement and finance teams, embedding predictive analytics into reporting workflows.
  • Worked in cross-functional teams to ensure ML and BI solutions addressed key business KPIs.

Jun 2022 - Dec 2022

Business Intelligence Intern

Globalization Partners (Remote)

  • Built a time-series forecasting pipeline using Decision Tree Regressor and N-BEATS models to predict revenue with 6.23% MAPE, improving baseline forecasts by 15%.
  • Automated retraining and monitoring workflows, ensuring model performance in dynamic growth environments.
  • Developed an interactive Tableau dashboard for stakeholders, embedding ML outputs directly into business reporting.

Technical Skills

Category Technologies
Programming & Data Python, SQL, Bash, pandas, NumPy
ML & Deep Learning Scikit-learn, PyTorch, TensorFlow, HuggingFace Transformers, Optuna
LLMs & RAG LangChain, Ollama, ChromaDB
Data Engineering & MLOps PySpark, Spark, Azure Data Factory, Microsoft Fabric, ETL, Docker, Git, CI/CD, MLflow
BI & Visualization Power BI, Tableau, Matplotlib

Projects & Open Source

MSc Dissertation: Neuroevolutionary Framework for Financial Time Series Forecasting

Developed a framework using NEAT with Adaptive Operator Selection (AOS) for online forecasting under non-stationary conditions. Implemented reinforcement learning-based operator selection and integrated streaming evaluation tools.

Python NEAT Reinforcement Learning Time-Series

FinRatioAnalysis (Python Package)

Developed and published a PyPI package for financial ratio analysis (returns, liquidity, leverage, Altman Z-Score, WACC). Used by developers and analysts to integrate quantitative finance metrics into workflows.

Python Pandas PyPI Finance

MRI Image Segmentation

Implemented K-means clustering algorithms for medical image segmentation, optimising cluster initialization and feature extraction techniques. Explored preprocessing, data normalization, and evaluation metrics for unsupervised biomedical image analysis.

Python K-means Computer Vision Medical AI

Evolutionary Computation for Optimisation

Applied genetic algorithms to combinatorial optimisation problems, experimenting with mutation, crossover, and adaptive operator selection strategies. Produced reproducible results with modular Python implementations.

Python Genetic Algorithms Optimization

Certifications & Achievements

Professional Certifications

Competitions & Awards

Work Authorization

🇪🇺 European Union

EU Blue Card Eligible

Eligible to apply with valid employment contract (≥ 6 months) and salary above national threshold (typically ≥ 1.5× average gross salary). No employer sponsorship license required.

📋 Official EU Blue Card Info

🇺🇸🇨🇦 United States & Canada

TN Visa Eligible (USMCA Professional)

Eligible for TN visa (USMCA Professional), allowing professional employment in the United States and Canada without employer sponsorship.

📋 TN Visa Info

Education

2024 - 2025

MSc Artificial Intelligence & Machine Learning

University of Birmingham, UK

Key Modules: Advanced Deep Learning, Computer Vision, Evolutionary Computation, NLP.

2019 - 2023

B.A. Economics & Finance

Universidad del Valle de México, Mexico

Get In Touch

I'm currently seeking new opportunities in Data Science and Machine Learning. Feel free to reach out if you'd like to connect!

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