Nemeon

All-round data specialist consultant:
• Data Engineer consultant: ETL developer in an team of software engineers (python, SQLAlchemy, prefect, Docker, CI/CD, AWS, Agile, etc.)
• Data Strategy consultant for Belgian SME's
• Data Scientist consultant
• AWS Cloud: solutions architect (migrating on-prem to AWS, designing & budgeting cloud architectures)

Data Science Consultant

KU Leuven

I build funky databases for research using Python, SQL, NLP, machine learning and all the cool stuff.

Current project: using NLP to process and analyze technology licensing contracts in biopharma.

Senior Data Scientist / Engineer

SKEMA Business School

I lead the software engineering team to create a large database for research. My roles involved:

a) Python Developer / Software Engineer: developing web scrapers to automate the efficient collection of GBs of data from public websites (Python, SQLAlchemy, Selenium, Pandas, Dask, etc.); setting-up and managing the dev environment (CI/CD, Git, etc.) for the team.
b) SQL developer:  designing & deploying a postgreSQL db (dimension & fact tables, normalization, ddl, indices, etc.) to hold the scraped.
c) Data Scientist: developing and validated multiple indicators and metrics, developed/trained machine learning models on the novel data (segmentation, clustering, etc.); documenting the project with Sphinx.

Senior Data Scientist

I lead applied research projects about technological innovation and intellectual property in R&D-intensive sectors, at the Department of Management, Strategy and Innovation. Main tasks include:
- Developing machine learning models for the early detection of highly valuable patents, combining business theory, behavioral theory, patent meta-data and patent analytics
- Developing, validating and improving patent-based indicators of technological innovation
- Creating data pipelining models to automatize the collection, ingestion and harmonization of large, complex raw data

Other tasks:
• presented and discussed at international conferences;
• reviewed for scientific journals (Management Science, Scientometrics);
• collaborated in various research projects in the fields of innovation and intellectual property;
• supervised 27 master's theses on innovation and intellectual property subjects.

PhD researcher in Applied Economics

Hasselt University

Lecturer for the course 'Literature Study and Writing Skills' (BSc, 9ECTS).

Lecturer

Universidad Carlos III de Madrid

Essentials of Business, Financial Economics

Teaching Assistant

Faculty of Economics. National University of Córdoba

Teaching assistant at the Department of Statistics and Mathematics. Courses: Statistics 101, Advanced Econometrics.

Teaching assistant

Fields of research: economics of education, comparative and international education, evaluation.

Senior research assistant

Agency for the Economic Development of Córdoba

Monitoring, evaluation and learning (MEL) manager for the program 'entra21 Phase II', organized and funded by the International Youth Foundation and the Multilateral Investment Fund of the Inter-American Development Bank.

Monitoring, evaluation and learning consultant

I am a data scientist with a PhD in Business Economics and experience combining real-world data, machine learning models, and software engineering to solve problems. 

As Data Scientist Consultant I mined and analyzed all sorts of data for Belgian firms. As Python Developer/Software Engineer I developed ETL pipelines to migrate huge databases to the cloud. As Data Engineer I developed python suites to build large databases for applied research.

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