cv
Basics
| Name | Mario A. Ponce Pacheco |
| Label | Hydrology – Data Science – Software development |
| mappacheco24@gmail.com | |
| Url | https://marioponce.github.io |
Education
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2019.09 - 2021.08 Mexico
Master’s Degree
Universidad Autónoma de la Ciudad de México, UACM
Complexity Sciences [Part-time student in parallel with my job. (unfinished)]
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2016.09 - 2018.08 The Netherlands
Master’s Degree
Wageningen University & Research, WUR
Major: Climate Studies [Hydrology and Quantitative Water Management Group] – Minor: Dynamic Systems Modelling
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2015.08 - 2016.07 Mexico
Postgraduate Degree
Universidad Autónoma Metropolitana, UAM
Applied Matematics [Truncated to 30%. (unfinished)]
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2014.08 - 2015.07 Mexico
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2010.07 - 2006.06 Mexico
Work
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2024.04 - 2024.09 The Netherlands
Project Manager / Teaching Assistant
Technische Universiteit Delft, TUD
Organizer of the biggest course in the Civil Engineering Faculty.
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2023.01 - 2024.03 The Netherlands
Researcher / BackEnd developer
Technische Universiteit Delft, TUD
BE developer of a robust API for seamless frontend communication and automated climatic data processing
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2021.06 - 2022.08 Mexico
Python Engineer
BairesDev
Responsible for implementing Machine Learning algorithms to improve the performance of a cooking robot.
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2020.09 - 2021.06 Mexico
Software Engineer
Tata Consultancy Services
Responsible for giving support in Linux systems to financial projects. I got also training in AWS technologies.
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2018.11 - 2020.08 Mexico
Hydrology and Hydroinformatics Consultant
Soluciones en Ingeniería y Tecnologías del Agua
Oversaw hydrological modelling, and flood simulations, and devised mitigation solutions.
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2018.05 - 2018.08 The Netherlands
Intern
Deltares
Managed the processing of raster files and spatial time series, with a focus on down/up-scaling.
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2011.08 - 2016.04 Mexico
Irrigation engineer
Over the years, I contributed to small companies by taking on diverse roles across various projects.
Volunteer
-
2012.04 - 2014.07 Mexico
Training
| OPENSENSE Training School | ||
| COST Actions | 2023 |
| Deep Learning Specialization | ||
| Coursera – DeepLearning.AI | 2022 |
| Machine Learning | ||
| Instituto Politécnico Nacional, IPN | 2021 |
| Diploma in aerobic treatment and wastewater reuse | ||
| Universidad Nacional Autónoma de México, UNAM | 2021 |
| Spring School in Lattice Boltzmann Methods with OpenLB Software Lab | ||
| Karlsruhe Institute of Technology | 2018 |
Skills
| Programming languages | |
| Python [advanced] | |
| R [advanced] | |
| MATLAB [intermediate] | |
| C++ [intermediate] | |
| Julia [basic] |
| Statistics and Data Science | |
| Machine Learning | |
| Bayesian Statistics |
| Open Hardware | |
| Raspberry pi | |
| Arduino | |
| IoT |
| Optimization | |
| Differential Evolution | |
| Bioinspired Algorithms |
Languages
| Spanish | |
| Native speaker |
| English | |
| Fluent |
| French | |
| Survival level |
Interests
| Complexity | |
| Non-linear dynamic | |
| Cellular automata | |
| Agent-based model |
References
| Robert Lanzafame | |
| We worked together in the organization of the MUDE course. |
| Albretch Weerts | |
| He was my supervisor during my internship at Deltares. |
Projects
- 2023.01 - 2024.03
Makara
Makara is a predictive model based application that integrates climate and price movements and allows farmers to reduce their financial risk and ensure they have a sustainable livelihood.