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