Hi, I'm Dario!
Welcome to my
Data Science house
The end-to-end ML pipeline & workflow to predict the ride duration of the Chicago Taxi dataset.
Classifies students likely to drop a course using a statistical model and cohort features.
Geospatial data science approach to identify and model car crash hotspots.
The end-to-end customers segmentation pipelines using RFM & K-Means Clustering model.
Power BI dashboard deliver insights on NYC Taxi operations tracking using Redshift and dbt pipelines.
Hi, I’m Dario — a passionate and detail-oriented Data Analyst and aspiring Data Scientist. With a strong background in machine learning, statistics, and data visualization, I enjoy transforming data into actionable insights and building end-to-end analytical solutions.
From predictive modeling to geospatial analysis, I love solving real-world problems with data. I’m always exploring new tools, algorithms, and challenges in the world of analytics and AI.
I’m enhancing my portfolio through impactful personal projects and I’m open to opportunities where I can grow and contribute meaningfully.
Led a university basketball team—collaborating with teammates and contributing to meaningful activities. Developed teamwork, mentoring, leadership, and problem-solving.
Worked in a fast-paced hospitality environment, delivering excellent customer service while balancing food preparation, order management, and teamwork. Developed strong communication, problem-solving, and time management skills by serving diverse customers and collaborating with colleagues to meet peak-hour demands.
Coordinated the league end-to-end—scheduling, logistics, and registrations. Improved event management and stakeholder coordination.