Fatima Guaman Tumbaco

I’m a Data Scientist with 4+ years of experience building end-to-end Machine Learning pipelines—from exploratory data analysis (EDA) and feature engineering to model training, validation, and production deployment. I combine predictive modeling with dashboarding to help teams make data-driven decisions faster.

In my recent work, I built automated data pipelines using Power Automate and Python, standardized transformation and feature engineering workflows, and collaborated cross-functionally to translate operational needs into ML-ready datasets. I also developed dashboards to monitor KPIs and model outputs in real time, while ensuring data quality through validation, deduplication, and consistency checks.

I’ve delivered measurable impact: I increased fraud detection by 20% and helped prevent $10K+ in annual fraudulent losses, and I reduced statistical analysis delivery time by 20% through automation and scripting. I’m genuinely passionate about Artificial Intelligence and am deepening my expertise in Deep Learning, Neural Networks, CNNs, and Computer Vision through an ongoing Master’s program.