Amsterdam Business School (ABS) & Universiteit van Amsterdam (UvA)

Master’s (MSc) in Business Administration (Digital Business Track)

• Relevant Courses — Data Science for Business, Digital Transformation & Strategic Innovation

• Master’s Thesis — “Business Model Innovation in the Era of Industry 4.0: A Macro-Level Study of Paraguay's Digital Transformation Landscape”

Vrije Universiteit (VU)

Minor in Digital Humanities and Social Analytics

• Relevant Courses — Python for Humanities & Social Sciences, Visualization & Analytics in R

Universiteit van Amsterdam (UvA)

Bachelor’s (BSc) in Communication Sciences

• Graduated from an HBO/WO institution with relevant coursework in Algorithmic Persuasion, Content Analysis, and Statistical Modelling for Research

• Graduation Thesis — “It’s Not What You Say, It’s How You Say It: Media Richness Effects of Corporate Communication Mediums on Employee Sensemaking of Organizational Changes”

LOANCLEAR — Marketing & Communications Officer

• Audited external communication channels to extract data-driven insights and define the marketing and communication strategy's scope, aim, and target group.

• Implemented agile methodologies for external communication, encouraging clear and proactive collaboration among the team members.

• Monitored website metrics, reported weekly KPIs from LinkedIn and Google Analytics, and delivered compelling insights to the team.

• Exhibited strong time management, goal-setting, and presentation skills.

CONTENT STADIUM — Social Media & Marketing Research Intern

• Performed client interviews, gathered data, and published results on company-wide research for Content Stadium.

• Collaborated with the team during daily meetings and brainstorming sessions for SaaS product launches and social media advertising campaigns. Remote (Active in Latin America and the Netherlands)

AK. — Freelance Digital Communications Consultant

• Guided the digital transformation of clients seeking to innovate their businesses by remodeling their strategies to prioritize online presence growth and community-building. Clients include Maciel Stetica Medica, Volvlam, Ensoul, and Medium Magazine.

• Developed professional skills in client relations, acquisition, and project management by managing my brand for digital communication services.

• Provided valuable data insights and advised clients on data use cases to improve performance

Amsterdam Business School (ABS) — Digital Business & Research

• Conducted a mixed-methods study to investigate the digital transformation process in Paraguay, focusing on the government, society, and business components.

• Employed content analysis, sentiment analysis, and surveys to identify factors influencing digital transformation and adoption of emerging Industry 4.0 technologies in Paraguay.

Amsterdam Centre for Business Innovation — Data Scientist & Research

• Project — Employee Churn Rates: Predictive Models for Human Resources Analytics

• Built a churn prediction model in Python with data extracted from HR databases to deliver compelling insights supporting data-driven business operations decision-making.

• Evaluated the performance of the selected predictive modeling techniques and presented recommendations for deployment strategies.

• Experienced in tracking, extracting, and modeling data for machine learning models, dashboards, and other data use cases

ODISSEI | VU — Project Management & Data Analyst

• Project — Visualizing Metadata for Bias Detection in Databases of Social Sciences Journals

• Programmed a decision-tree machine learning model algorithm with data retrieved from Dataverse to classify the type of scientific bias found in each research paper.

• Visualized the data distribution to uncover gender bias using matplotlib and pandas packages and designed an interactive world map to reveal geographical bias.

The Network Institute | VU — Data Scientist & Research Student

• Project — Discovering the Feelings Behind the Tweet: Improving a Lexicon-Based Classifier for Sentiment Text Analysis in Political Tweets

• Conducted qualitative user research using the Natural Language Processing Technique (NLP) and text-classifier VADER for sentiment analysis of the 2009 political tweets corpus.

• Optimized the performance of the machine learning classifier by modifying its lexicon and scoring and made recommendations for future research on enhancing NLP tools.

Skills — Adaptability, Agile Management, Business Analytical, Creative, Communication, Collaboration, Data-Driven, Research, Social Media, Strategic Foresight, and Technical Literacy

Programming — Proficient in Javascript, Python, R, Swift, and SQL programming languages

Data Analysis — A/B testing, Google Analytics, IBM SPSS Statistics, Natural Language Processing, OpenRefine, and SEO

Software — Adobe Suite, CapCut, Docker, Elementor, Figma, Final Cut Pro X, Firebase, Github, Optimizely, Slack, React Native, Visual Studio Code, WordPress, and Xcode

Project Management — Confluence, Discord, Docker, Google Workspace, Jira, Microsoft Office Suite, Notion, and Slack

Other — Generative AI Models (Stable Diffusion)

Language — English, Dutch, Spanish, and Portuguese

Interests — Blockchain Technology, Internet Culture, Immersive Experiences, Music & AI, and Web 3.0