Hi! I’m Francisco, a data scientist with 6 years of experience driving business outcomes through statistical modeling, causal inference and AI. Graduate of Applied AI Solutions Development (GBC) with deep expertise in Python and SQL. Certified in AWS and Tableau, and experienced in Power BI and Lean Six Sigma.
I specialize in applying statistical and machine learning methodologies to measure impact and optimize business processes. My work combines rigorous analytical approaches with automation to enable data-driven decision making across organizations.
Applied A.I. Solutions Development Postgraduate Diploma, 2024
George Brown College
Diploma in Econometrics, 2020-2021
University of Chile
Diploma in Big Data, 2017-2018
Pontifical Catholic University of Chile
BSc in Economics, 2010-2015
University of Chile
Personal projects, blog posts, publications and talks
Work done as a contractor
Degrees
A one-year post-graduate program blending computer science, mathematics, and business to develop AI solutions.
Cumulative GPA: 3.94.
Academic Award:
Coursework Highlights:
Relevant Documents (access available upon request):
10-month program covering experimental design, causal inference with observational data and time series analysis.
Relevant Documents (access available upon request):
144-hour program covering the fundamentals of machine learning, recommender systems, Hadoop, parallel computing and graph theory.
Relevant Documents (access available upon request):
Graduated with distinction. 5-year program.
Relevant Documents (access available upon request):
lmer
package. Learned how to fit and compare random effects models for nested and longitudinal data.Let’s connect! I actively monitor this form and welcome new project opportunities.