Ignacio Mendez
Chief Executive Officer at Self-employed
Valencia, Valencian Community, Spain
Summary
🤩
Rockstar🎓
Top SchoolIgnacio Mendez is a CEO and machine learning specialist who helps healthcare and energy companies unlock value from time series, sequential, and temporal data. After a 20+ year career at Eli Lilly—where he led global CRM and marketing for top-selling drugs—he transitioned to algorithmic trading and deep learning, becoming a Fastai International Fellow. He founded and contributes to tsai, a widely used open-source PyTorch/fastai library for time series deep learning, and consults across finance, life sciences, and aerospace. Ignacio’s blend of pharmacy, MBA, and hands-on ML engineering enables him to translate complex scientific problems into practical product and business outcomes. He’s equally comfortable building production models as he is advising executives on data-driven strategy.
7 years of coding experience
Master's degree, Pharmacy, Master's degree, Pharmacy at Universidad de GranadaMaster of Business Administration - MBA, Master of Business Administration - MBA at IE Business School
Github Skills (9)
pytorch10
jupyter-notebook10
machine-learning10
fastai10
time-series10
python10
classification10
data-analysis10
deep-learning9
Programming languages (3)
Github contributions (5)
timeseriesAI/tsai
Sep 2019 - Jan 2023
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Role in this project:
ML Engineer & Data Scientist
ML Engineer & Data ScientistContributions:14 releases, 6 reviews, 265 commits in 3 years 4 months
Contributions summary:Ignacio implemented introductory notebooks to showcase time series classification techniques using the fastai library. They focused on creating a data processing pipeline using Python and PyTorch. Their contributions involved preparing time series data, designing a classification model, and training a basic implementation to solve a time-series classification problem.
forecastingpythontime-series-analysisstate-of-the-arttime-series
oguiza/fastai_extensions
Jul 2019 - Oct 2019
Code you can use jointly with fastai
Contributions:20 commits, 23 pushes, 1 branch in 3 months
fastaipythonfastapi
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