I'm Diego,
a Senior Data
Scientist
Senior Machine Learning Engineer | Enterprise AI & Supply Chain Optimization | Ex-Walmart, Ex-Huawei, Ex-DHL
Building robust, scalable ML systems that solve complex logistics and optimization challenges at Fortune 500 scale.
IMPACT & ACHIEVEMENTS
Transforming Data into
Business Value
Proven track record of delivering enterprise-scale AI solutions that drive measurable business outcomes
Driving ROI with AI
Delivered $40M+ in revenue through AI Market Mix Modeling, achieving 10% CTR improvement and 30% supply chain efficiency gains across Fortune 500 enterprises.
From Pipelines to Production
End-to-end ML infrastructure architect specializing in scalable recommendation systems, GenAI solutions, and MLOps pipelines serving millions of users daily.
C-Level Strategy & Innovation
Bridging technical execution with strategic business outcomes, delivering data-driven insights that drive executive decision-making and digital transformation.
MY JOURNEY
Experience & Education
Professional Experience
Senior Data Scientist & Machine Learning Engineer
Enero Group Ltd (OBMedia)
- Increased revenue per Click by 5% by developing a Google Ads keyword recommender integrated into a high-volume ad pipeline.
- Provided KPI dashboards & insights for cross-functional leadership, translating complex analyses into strategic decisions.
- Enhanced ad personalization using LLMs and embedding techniques, driving higher engagement and advertiser ROI.
- Delivered executive-level reports via dynamic dashboards, ensuring data-driven decision-making across the organization.
Data Scientist ML
Walmart (#1 Fortune 500)
- Boosted Search CTR by 10% by implementing ML ranking algorithms for billions of queries.
- Increased Cross-Selling CTR by 25% via a recommendation model leveraging user purchase behavior.
- Delivered six high-impact ML solutions, enhancing engagement and operational efficiency.
- Built end-to-end ML pipelines in Google Cloud (SQL, Python, Spark), from data exploration to production deployment.
- Drove cross-functional alignment with Product, Data, MLOps, and Engineering, regularly presenting model insights.
Data Scientist ML
DHL Supply Chain
- Improved operational efficiency by 30% and cut payment processing by 50% with advanced analytics across the USA and Mexico.
- Deployed a backhaul optimization model, discovering 5% more weekly opportunities to reduce costs.
- Streamlined finance workflows using SQL and Power BI, reducing payment cycles from 60 to 30 days.
- Recognized with the Annual Innovation & Creativity Award for AI-driven growth.
- Mentored junior data analysts, fostering a data-driven culture.
Data Scientist
Huawei
- Drove a US$40M increase in purchase orders with AI-powered market mix models.
- Achieved global recognition with a methodology featured in UNDP's Top 50 Development Solutions.
- Boosted 5G user targeting efficiency by 38.9%, outperforming traditional campaigns by 14% points.
Data Scientist
Conacyt
- Reduced route distance by 30% for a private waste collection process using advanced VRPTW algorithms.
Data Analyst
Baxter International Inc. (Fortune 500)
- Developed intuitive manufacturing dashboards using SQL, merging sensor data and worker performance metrics to streamline production.
Data Analyst
Barcelona Supercomputing Center
- Created a fire evacuation routing system, winning 1st place at the International Mexican AI Congress.
Education
MSc in Optimization & Applied Computer Science
The National Autonomous University of Morelos
- Focused on advanced ML and optimization (VRPTW) for route planning.
BS in Computer Engineering
Polytechnic University of the State of Morelos
- Emphasized fundamentals in algorithms, software development, and data structures.
Core Competencies
Deep expertise across the full ML lifecycle, from data engineering to production deployment
Hover over each skill category to see specific technologies
Machine Learning
95%Cloud/MLOps
90%Big Data
88%Deep Learning
85%Data Engineering
92%GenAI/LLM
87%TECHNICAL SKILLS
Technology Stack & Tools
Languages & Databases
ML/AI Libraries
Data Visualization
Big Data & Cloud
Tools & DevOps
ML & Marketing Analytics
ENGINEERING STRATEGY
Engineering Philosophy
Principles guiding my approach to building production ML systems at scale
Production > Perfection
I prioritize shipping simple, explainable baselines (like XGBoost) over complex deep learning models to establish rapid feedback loops. A model in production beats a perfect model on a laptop.
Deploy simple baselines first (XGBoost/Linear) before complex models
p99 latency < 100ms and 99.9% uptime SLA as non-negotiables
Horizontal scaling with Docker for production resilience
Data-Centric AI
I focus 80% of effort on data quality and pipeline reliability (dbt/Airflow) rather than hyperparameter tuning. Clean data beats clever algorithms.
Versioned datasets with Git integration
Automated data quality checks (Great Expectations/dbt tests)
Schema evolution with backward compatibility
Business Alignment
I translate 'Mean Squared Error' into 'Revenue Lift' to align engineering efforts with company OKRs.
A/B testing framework for measurable impact
Revenue attribution models for ML features
Executive dashboards with business KPIs
"The best code is the code that ships. The best model is the one that drives measurable business value."
— Diego Hurtado
CASE STUDIES
Production ML Systems & Infrastructure
Scalable ML systems delivering measurable business impact at Fortune 500 scale
Scale-Aware Recommendation Engine (Walmart)
Walmart needed to optimize cross-selling across a massive catalog with billions of historical transactions. Legacy systems were rule-based, unscalable, and couldn't capture semantic product relationships.
Business Impact
+10% CTR, +25% Recall@K
Scale
Billions of transactions analyzed
AI-Driven Market Expansion Engine (Huawei)
Huawei needed to identify optimal locations for 5G network deployment across Latin America. Traditional telecom planning methods were inefficient, leading to suboptimal site placement and pricing strategies that left $40M+ in potential revenue unrealized.
Business Impact
$40M revenue, +39% targeting efficiency
Scale
Multi-country 5G deployment
Predictive Logistics & Route Optimization (DHL)
DHL's logistics operations suffered from inefficient route planning and underutilized backhaul capacity. Manual forecasting led to poor resource allocation, with trucks returning empty 20% of the time, wasting fuel and revenue opportunities.
Business Impact
+30% efficiency, +5% backhaul
Scale
500+ shipments/day optimized
TESTIMONIALS
What People Say
Feedback from colleagues, clients, and industry leaders I've had the privilege to work with
"I worked side by side with Diego for more than a year. We made amazing things for Huawei, like creating a new methodology (Lifestyle Zones) for 4G sites optimization and 5G deployment - this project generated more than US$40M in revenues. Always in a good mood, always creative and results-oriented, Diego is the best colleague you could have in a Consulting team."
"I have the pleasure to count Diego as a colleague. He is a star in the rising. His comprehension on everything related to Data Analytics is far beyond his age. Invaluable contributions. Pristine work ethics. A true team player. Most of all, Diego is a fine, fine gentleman."
"Diego supported and provided data science knowledge to state-of-the-art data-based projects for several Telcos in Latam. With his dedicated and diligent support, we delivered on-time innovative business solutions and methodologies. Apart from his high professionalism and knowledge, he was a truly team worker and helped the team to glue together."
"I had the opportunity to work with Diego as part of our Data Science team. He consistently delivered valuable results by aligning technical work with business impact. Diego stood out as a great team player—always willing to support colleagues and help new members onboard. His flexibility and openness to change made him an asset in dynamic environments."
"I worked with Diego on Business analytics projects and taken advantage of his excellent analytical and modelling skills. Diego has a great ability to assemble data from multiple sources and apply logic and mathematical tools to help identify value creation opportunities. Diego has a clear and structured approach to his work."
"Diego always performed in a mature professional way: strong technical skills in the creation of analytics algorithms and dashboards; enthusiasm, devotion and energy to execute his projects; good capability for insights discovery based on his analytics; and initiative for self guidance + self management. I fully recommend him for effective team work."
Want to work together or share your experience?
Connect on LinkedIn