Book Recommendations

Mon, 01 Jan 0001 00:00:00 +0000

All books on this list are good and worth reading. The symbols below highlight standouts:

SYMBOLOGY:
💎: Gem
👌: Very good
🌶️: Extra points for being Latin American
🎓: Highly technical / academic read

❤️ Books About AI Ethics #

👌 Future Proof: 9 Rules for Humans in the Age of Automation – Kevin Roose
💎 Weapons of Math Destruction – Cathy O’Neil
Human + Machine: Reimagining Work in the Age of AI – Paul R. Daugherty & H. James Wilson
Artificial Intelligence: A Guide for Thinking Humans – Melanie Mitchell
The Industries of the Future – Alec Ross
Newsmakers: Artificial Intelligence and the Future of Journalism – Francesco Marconi

📈 Books About Statistics #

💎 The Art of Statistics – David Spiegelhalter
👌🎓 A Student’s Guide to Bayesian Statistics – Ben Lambert
👌 Storytelling with Data – Cole Nussbaumer Knafli
👌 Factfulness – Hans Rosling
Making Numbers Count – Chip Heath & Karla Starr

🎲 Books About Uncertainty #

💎 Fooled by Randomness – Nassim Nicholas Taleb
💎 Noise – Daniel Kahneman
👌 The Black Swan – Nassim Nicholas Taleb
The Art of Uncertainty – David Spiegelhalter
On the Edge: The Art of Risking Everything – Nate Silver

🤖 Books About Machine Learning / AI #

💎🎓 Applied Predictive Modeling – Max Kuhn
👌 Feature Engineering and Selection – Max Kuhn
💎🎓 Machine Learning: A First Course for Engineers and Scientists
– Lindholm, Wahlström, Lindsten, Schön
💎🎓 Mathematics for Machine Learning – Aldo Faisal & Marc Peter Deisenroth
The Master Algorithm – Pedro Domingos
💎 The Infinity Machine: Demis Hassabis, DeepMind and the Quest for Superintelligence – Sebastian Mallaby

📚 More Great Books #

💎 How to Be a Stoic: Ancient Wisdom for Modern Life – Massimo Pigliucci
💎 Diogenes: The Rebellious Life and Revolutionary Philosophy of the Original Cynic – Inger N.I. Kuin
The Gene: An Intimate History – Siddhartha Mukherjee
The Man from the Future: The Visionary Life of John von Neumann – Ananyo Bhattacharya
🌶️ Anything by Gabriel García Márquez
💎🌶️ The Maniac – Benjamin Labatut
💎 The Man Who Solved the Market – Gregory Zuckerman
💎🎓 Thinking, Fast and Slow – Daniel Kahneman
👌 Leonardo da Vinci – Walter Isaacson
Superforecasting – Philip E. Tetlock
👌 Slow Productivity – Cal Newport
The Code Breaker – Walter Isaacson
💎 The Emperor of All Maladies – Siddhartha Mukherjee
👌 The Idea Factory – Jon Gertner
Hit Refresh – Satya Nadella
AI Superpowers – Kai-Fu Lee
Moonwalking with Einstein – Joshua Foer
👌 Shoe Dog – Phil Knight

Resume

Mon, 01 Jan 0001 00:00:00 +0000

💼 Experience #

Insulet (Sep 2021 – Present) #

Senior Data Scientist (Feb 2026 – Present) · Data Scientist (Feb 2023 – Feb 2026) · Associate Data Scientist (Sep 2021 – Feb 2023)

Lead end-to-end execution of Real-World Evidence studies in partnership with Medical Affairs and Clinical stakeholders, from research question to publishable results.
Mentor junior data scientists and drive best practices in code review, reproducibility, and ML/statistical model validation across the team.
Architect scalable PySpark/Databricks pipelines for longitudinal patient outcome analyses.
Design and maintain dashboards for continuous monitoring of patient clinical indicators.
Conduct ad hoc analyses to evaluate product performance and optimize feature adoption and usage.

Applications Engineer — Q-Pumps (Aug 2016–Aug 2019) #

Provided technical guidance and personalized support to industrial clients for the selection, configuration, and optimization of process pumps.
Developed tailored solutions that improved the pump selection process efficiency and reliability, including an optimized workflow that boosted efficiency by 300%, reaching around ten selections per day.
Delivered technical training to sales teams and after-sales service staff.

Materials Lab Intern — GE Aviation · General Electric Infrastructure Querétaro (Jun 2015 – Jul 2016) #

Prepared, characterized, and performed metallographic evaluation of metal samples from aircraft engines.
Conducted non-destructive testing including penetrant inspection, microscopy, and tomography.
Documented and reported results in support of quality assurance processes.

👨‍🎓 Education #

M.Sc. in Statistics — Linköping University, Sweden (Sep 2019–Jun 2021) #

Specialization in both theoretical and applied aspects of modern data analysis. Core coursework included: Univariate and Multivariate Statistics, Bayesian Statistics, Deep Learning, Time Series Analysis, Big Data Analytics, Machine Learning, and Text Mining.

Home on José Méndez