Marcos Oliveira
Data Analyst @trivago
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WORK HISTORY
Data Analyst @trivago
Düsseldorf, DE
Data Analyst in the Partnerships Intelligence team, supporting Sales and Account Managers in extracting actionable insights to optimize partner performance on the trivago platform- Designed and developed production-grade data products using Python and SQL to support data-driven bidding and inventory optimization strategies- Built and deployed an Uplift recommendation engine modeling Time-to-Travel behavior patterns to generate structured bid modifier recommendations, enabling scalable and more precise partner performance optimization- Developed a prospect inventory potential estimation tool leveraging fuzzy matching algorithms and similarity scoring techniques to map external property portfolios to trivago’s inventory, automating a previously manual evaluation process and reducing analysis time from days to minutes- Contributed to revenue-impacting initiatives through statistical modeling and analytics, including revenue projections, inventory coverage metrics, and campaign compliance analysis- Designed and implemented an internal LLM-powered reporting application based on a multi-agent (Critic-Model) architecture, where one model generates structured performance summaries and a second validation layer evaluates consistency and quality standards. Reports that previously required several hours of manual preparation now have a first structured draft generated in minutes, reducing preparation time significantly while maintaining analytical rigor- Act as a key analytics partner for high-impact ad-hoc investigations, translating complex datasets into statistically grounded, actionable recommendations for commercial stakeholders.
EDUCATION
Universidade Estadual de Londrina
Doctorade (Ph.D.)
Universitat Politècnica de València (UPV)
Doctoral Stay
Universidade Estadual de Londrina
Bachelor's degree
Universidade Estadual de Londrina
Master's Degree
ABOUT MARCOS OLIVEIRA
I am a Data Scientist/Analyst with expertise in turning complex data into actionable insights, building data products, and applying Machine Learning and AI to solve real-world problems. I combine hands-on experience in data analytics, ML modeling, and AI solutions with a strong background in research and problem-solving.In my current role at trivago, I design and implement tools that support Sales and Account Managers with data-driven decision-making. I build solutions for bid optimization, prospect evaluation, and performance reporting, often leveraging AI and LLMs to automate complex processes and deliver insights at scale.Previously, as a Senior Data Scientist at Bank.green, I led the development of a banking sustainability scoring system using NLP and LLMs to analyze banks’ public policies, improving stakeholder engagement and transparency. As a Professor and Researcher, I designed systems that increased student retention and optimized program outcomes through analytics, predictive modeling, and research.I am passionate about mentoring, knowledge-sharing, and creating practical AI solutions that have measurable impact. I thrive on challenges, continuous learning, and solving real-world problems with data.Skills: Python, SQL, Pandas, Numpy, Scikit-Learn, FastAPI, Docker, Google Cloud Platform, ETL, Data Visualization, Tableau, PowerBI, Streamlit, Machine Learning, Deep Learning, NLP, LLM, RAG, Classification, Recommender Systems, Anomaly Detection, Feature Engineering, Model Deployment, Statistics, Research.
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