NEWZOO — Data Modeler/Analytics Engineer

• Lead data workstream for market expansion into new international markets, partnering with Product and Commercial teams to scope requirements and localize metric definitions.

• Design and maintain incremental ELT pipelines in BigQuery using dbt, processing multi-terabyte datasets (50TB+) across 38 international markets.

• Model lifecycle engagement metrics (MAU, DAU, retention, churn) using structured transformation logic and platform-specific weighting methodologies.

• Refactor and optimize fact and dimension models, improving query performance, clustering efficiency, and pipeline stability.

• Designed and implemented a regression-based correction mechanism during a methodology migration, preserving statistical continuity across production metrics.

• Build validation pipelines, benchmarking modeled estimates against actual data, and resolve multi-source schema inconsistencies and late-arriving data issues to prevent downstream discrepancies.

• Trigger and debug Airflow DAGs across dev/staging/prod environments, supporting production hotfixes and root-cause analysis of pipeline failures.

AK. — Freelance Data & Analytics Consultant

• Designed and implemented SQL- and Python-based analytics solutions to track user journeys and streamline CRM workflows, improving key operational KPIs by 26.4%.

• Aggregated and modeled multi-source data to generate actionable strategic insights, improving client engagement and conversion performance across multiple industries.

• Managed a diverse client portfolio, delivering end-to-end analytical projects from data transformation to stakeholder reporting, ensuring timely delivery and measurable impact.

LOANCLEAR — Marketing Data Analyst

• Developed SQL/BigQuery-based data transformations and reporting workflows to analyze marketing funnel performance and identify growth opportunities.

• Led implementation of enhanced analytics tracking infrastructure, contributing to a 32.5% improvement in campaign efficiency.

• Partnered with finance and development teams to improve data accuracy and ensure reliable cross-departmental reporting.

CONTENT STADIUM — Digital Analyst Intern

• Built KPI reporting dashboards in Excel and Tableau to support growth strategy, contributing to a 20.7% increase in digital engagement.

• Conducted structured market research with 100+ industry specialists to validate product expansion initiatives.

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.

University of Amsterdam - MSc, Data Science for Business

Vrije Universiteit - Minor, Digital Humanities and Social Analytics

University of Amsterdam - BSc, Communication Sciences and Research

• Focus: Quantitative Research & Statistical Modeling

Data Engineering & Warehousing: SQL, BigQuery, dbt, Airflow, ELT pipeline design, dimensional modeling, data quality & validation

Programming: Python (data transformation, regression modeling, API ingestion, validation scripts)

Analytics & Modeling: Lifecycle metrics modeling (MAU, DAU, retention, churn), regression & correlation analysis, extrapolation & weighting logic, A/B testing

Tools & Workflow: Git, Metabase, Tableau, Looker Studio, Confluence, Jira

Languages: English (Fluent), Spanish (Fluent), Portuguese (Proficient), Dutch (Intermediate, B1)