AB Test Cookie Cats
2026An A/B testing analysis measuring how an in-game gate affected player retention in Cookie Cats.
A/B TestingData AnalysisPython
Data Scientist & Engineer
Hi! I'm
Valentina
I build machine learning systems that turn messy, real world data into decisions people can trust.
01 — About
Turning complex data into decisions that move the needle.
I'm a Data Scientist with a focus on machine learning and deep learning. I graduated from the City College of New York in 2025 with a Master's in Data Science and Engineering.
From deep learning pipelines for intelligent traffic monitoring to automated data ingestion systems, I care about building models that are accurate, reliable, and genuinely useful; handling class imbalance, engineering features, and rigorously evaluating performance along the way. I'm currently building out a portfolio of machine learning projects and data visualization work, which I'm sharing here.
MScData Science & Engineering
The City College of New York
The City College of New York
02 — Projects
Selected work
Credit Card Fraud Detection
2026A machine learning project focused on identifying fraudulent credit card transactions from highly imbalanced financial data.
Machine LearningFraud DetectionPython
Intelligent Truck Monitoring
2025End to end deep learning system for real time truck classification and license plate recognition from side-fire traffic cameras.
Computer VisionDeep LearningYOLOv8
03 — Experience
Where I've worked
Feb 2025 — Jul 2025
Graduate Research Assistant — Transportation Lab
The City College of New York · New York, NY
- Designed and deployed a deep learning pipeline (CNN + LSTM + YOLO) for intelligent truck activity monitoring using side-fire camera footage.
- Developed data analysis algorithms to optimize urban transportation networks for ongoing research.
- Collaborated with a multidisciplinary team to prepare findings for publication and conference presentations.
Oct 2021 — Jul 2022
Project Management Analyst
Cabarco S.A.S · Cali, COL
- Analyzed large operational datasets on schedules and budgets, improving project execution efficiency by 20%.
- Designed automated reporting systems to monitor progress in real time and ensure deadline and cost compliance.
Aug 2020 — Feb 2021
Civil Engineering Intern
Ecopetrol S.A · Medellín, COL
- Analyzed maintenance datasets in Python (Pandas, NumPy) to identify inefficiencies and anomalous patterns across assets.
- Built visualizations with Matplotlib and Seaborn to support engineering decision-making.
04 — Contact
Let's build something with your data.
Open to data science roles, research collaborations, and interesting problems. Drop a message or reach me directly.
vsambonirougerio@gmail.com