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Manuel Gigena

Manuel Gigena

Data Scientist

Nemeon | Belgium


My Portfolio Highlights

My New Course

Introduction to Power BI

My New Project

Naïve Bees: Image Loading and Processing

My New Track

Data Analyst

Quantitative wordsmith, translating complex concepts into elegant equations.

My Work

Take a look at my latest work.


Understanding Machine Learning


Introduction to Power BI


Understanding Data Engineering

My Certifications

These are the industry credentials that I’ve earned.

Other Certificates

Amazon Web Services AWS Certified Cloud Practitioner

Amazon Web Services AWS Certified Solutions Architect – Associate

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

My Work Experience

Where I've interned and worked during my career.

KU Leuven | Oct 2022 - Present

Senior Data Scientist / Engineer

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 licensing contracts in biopharma.
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Nemeon | Feb 2022 - Present

Data Science Consultant

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

SKEMA Business School | Jan 2021 - Jan 2022

Senior Data Scientist

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.

KU Leuven | Oct 2013 - Nov 2020

PhD researcher in Applied Economics

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.

Hasselt University | Jan 2020 - Aug 2020


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

Universidad Carlos III de Madrid | Sep 2011 - Aug 2013

Teaching Assistant

Essentials of Business, Financial Economics

Facultad de Ciencias Económicas UNC | Mar 2010 - Sep 2011

Teaching assistant

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

Facultad de Ciencias Económicas UNC | Feb 2010 - Sep 2011

Senior research assistant

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

Agency for the Economic Development of Córdoba | Oct 2010 - Aug 2011

Monitoring, evaluation and learning consultant

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.

My Education

Take a look at my formal education

Doctor of Philosophy - PhD, Technological Innovation and Technical change, Intellectual PropertyKU Leuven | 2020
Master's degree, Business Economics and Quantitative Methods, Business and Quantitative MethodsUniversidad Carlos III de Madrid | 2013
BSc & MSc in Economics Universidad Nacional de Córdoba | 2010

About Me

Manuel Gigena

Data Scientist with a PhD in Business Economics, and more than 6 years of experience extracting value from data.

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