Adept Senior Data Scientist with a proven track record at Cryoholdco, integrating complex financial data and spearheading innovative projects in stem cell research. Expert in predictive modeling, machine learning, and fostering cross-functional collaboration. Achieved transformative business insights and improved patient outcomes through advanced data analysis and machine learning.
Lead role integrating financial data from 13 stem cell laboratories across Argentina, Brazil, Colombia, Mexico, and Peru into a consolidated database. Develop predictive models to forecast business health, 5-year runway, and churn rates. Design and implement a web service API for managing patient genetic data. Spearhead a cutting-edge project utilizing computer vision to automatically analyze and determine cell counts and health in microscopy samples of expansion stem cell batches. Collaborate with cross-functional teams to drive data-informed decision making and strategic planning. Mentor junior team members and oversee project delivery from conception to completion. Utilize advanced analytical techniques, machine learning algorithms, and data visualization tools to extract actionable insights from complex datasets. Implement best practices in data governance, security, and compliance across international borders. Drive innovation in data science applications to transform business operations and improve patient outcomes.
External consultant and data scientist, developer for business intelligence apps both for operative use inside the company as well as data visualization and analysis applications with predictive algorithms.
Graph Neural Networks program for monitoring clients and prospects with geographical background dedicated to social and environmental risk assessment.
In my spare time i enjoy skateboarding, surfing and playing chess
Python
SQL, Arrow, Pq
PowerBI
ARCgis
Torch, Tensorflow, Sklearn
Pandas, Polars
Seaborn, Matplotlib, Plotly, Altair