About Me
As a first-generation Colombian American with a passion for data, I leverage my expertise in healthcare imaging and financial analytics to solve complex problems at Ernst & Young, where I currently manage forensic data investigations to uncover financial crimes and ensure pharmaceutical compliance.
My journey from developing brain imaging algorithms as a Biomedical Engineering researcher to optimizing fraud detection systems reflects my commitment to using data science for meaningful impact, combining my technical skills in Python, data visualization, and machine learning with my bilingual background to bring a unique perspective to every challenge.
Work Experience
Manager, Forensics Data Analytics
2024 - PresentI build and evaluate AI systems for risk and compliance, from LLM bias testing for a global social media platform to EY's ML-powered risk monitoring platform, Forensics.AI.
Senior Consultant, Forensics Data Analytics
2021 - 2024Lead data scientist on Forensics.AI, training ML models for adverse media detection and building the Azure pipelines that fed them.
Quantitative Business Analyst
2019 - 2021Turned 1TB+ of social media and news data into analytics that sharpened campaign targeting for global brands.
Education
Masters of Engineering, Biomedical Engineering
Bachelors of Engineering, Biomedical Engineering
2014 - 2018• Master's Thesis: Amplified Flow Imaging (aFlow): Uncovering hidden motions between cerebral hemodynamics and brain motion
• Published as co-first author journal of IEEE Transaction on Medical Imaging
• NSF Vizzies Best Scientific Visualization Award of 2018