Resume

Feel free to check my educational and professional background. If you need more info or clarification, do not hesitate in contacting me directly!

Summary

Miguel Gonzalez

Data analyst with a Ph.D. and +7 years of comprehensive experience in statistics, machine learning, and backend web development in Spain and China. Experience in mentoring small cross‐functional and multi‐cultural teams for data‐driven research and development projects. Proficient in cutting‐edge tools for machine learning, data visualization and interactive reporting via dashboards, and competent at backend web development, including database design and data processing pipelines.

  • Chaoyang district, Beijing, China
  • +86 19872861894
  • miguel_agr@protonmail.com

Education

PhD Engineering for Rural and Civil Development

2017 - 2021

University of Santiago de Compostela, Spain

  • Graduated cum laude.
  • Published 4 Q1 SCI articles as first author on statistical and machine learning methods applied to environmental sciences
  • Obtained 3 research project grants
  • Outstanding presentation award at a Chinese national research conference in 2019

Master Forestry engineering

2015 - 2017

University of Santiago de Compostela, Spain

  • GPA 3.83, with honors in 15/100 credits, award for best Master thesis 2016‐2017
  • Chose specialization in statistical modeling with R (6 subjects)

Bachelor Forestry engineering

2011 - 2015

Polytechnic university of Madrid, Spain

  • GPA 3.23, with honors in 24/240 credits
  • Chose optional subject on advanced statistical methods with R (grade = A)

Professional Experience

Data analyst

2024/01 - 2024/07

Alesca Life Technologies, Beijing, China

  • Designed and supervised the data workflow in the labs, including experimental design, data acquisition, processing, visualization and reporting, mentoring researchers for enhancing the quality and significance of results and developing machine learning solutions when necessary
  • Led the development of the company’s web data infrastructure integrating large datasets (IoT) with manually collected data to streamline analysis and reporting

Assistant researcher

2022/01 - 2023/11

Guangdong Academy of Sciences, Guangzhou, China

  • Applied machine learning algorithms (CNN, autoencoders) and statistical methods using large datasets to ecological research, publishing 2 SCI Q1 articles
  • Provided assistance on statistics to the rest of the team and tutored students

R&D engineer

2017/12 - 2021/12

CERNA SL, Lugo, Spain

  • Responsible of statistical sampling methods in environmental survey projects and researcher on applied machine learning (SVM, random forest, boosting)
  • Assistant in teaching at the university and main lecturer at professional courses to other companies about statistics, machine learning and R programming
  • Developed web dashboards for data reporting and visualization for customers

Consultancy intern

2017/06 - 2017/12

Provincial Council of Pontevedra, Pontevedra, Spain

  • Conducted computational modeling of environmental processes and provided technical consultancy.

Consultancy intern

2016/11 - 2017/02

MMA SL, Pontevedra, Spain

  • Assisted in database design and statistical design of environmental surveys

Skills

My Skills
R 100%
Python 80%
HTML & CSS 70%
JavaScript 60%
Java 30%
Django 90%
Tensorflow & Pytorch 70%
Scikit-learn 70%
PostgreSQL 70%
GIS 55%

Topics

I am interested in