Marcelo Seijas
Data-driven professional specializing in predictive analytics and business intelligence
About Me
My background, education, and the skills that drive my work in data science
Background & Education
I'm a data-driven professional with a Master's in Data Science and Marketing Analytics and a Bachelor's in Economics and Business Economics, both from Erasmus University Rotterdam.
My professional experience spans client enablement, reporting automation, and strategic partner management, where I've successfully supported major consulting firms—including the Big Four—in adopting and integrating cloud-based reporting solutions. Passionate about bridging technical expertise and business insights, I'm transitioning towards roles that emphasize technical problem‑solving and data‑informed decision‑making.
My master's thesis involved leveraging predictive modeling and advanced text analytics on experimental reviews, focusing on robust pipeline deployment and comprehensive model evaluation.
Key Skills
Languages & Tools
Expertise
Featured Projects
Showcasing my work in data science, machine learning, and software development
Multi-source financial data platform with intelligent fallbacks (Finnhub → Yahoo Finance → Hardcoded), real-time stock tracking, sentiment analysis, and interactive Plotly dashboards. Features smart caching, background ETL pipelines, technical indicators, earnings analysis, and CSV export capabilities for coffee industry stocks.
Comprehensive thesis project implementing BERT embeddings, topic modeling, and ensemble methods to analyze consumer coffee reviews. Features MLflow experiment tracking, Optuna hyperparameter optimization and boosting techniques. Includes sophisticated feature engineering with TF-IDF, BERT embeddings, sentiment analysis, and topic modeling (LDA/NMF).
Latest Articles
Insights and thoughts on data science, machine learning, and emerging technologies
How I automated weekly reporting with Python, Pandas, and cron jobs to save hours of manual work every week.
Lessons learned from pushing my first app into production, including deployment strategies and common pitfalls to avoid.
My beginner take on setting up GitHub Actions for reproducible ML pipelines and automated testing workflows.
Resume
Download my comprehensive resume to learn more about my experience, education, and technical expertise
Professional Resume
Complete overview of my data science journey, technical skills, and project achievements
View Resume (PDF)Get in Touch
Let's connect and discuss how data science can solve your business challenges
Let's Connect
I'm always interested in discussing new opportunities, collaborating on innovative projects, or sharing insights about data science and machine learning. Feel free to reach out!