Interested in jobs that requiere quantitative methods, this includes statistics, machine learning and AI. I have experienced in data science, academic background comes from electrical engineering, economics, actuarial science and financial engineering. Experienced data scientist in multinational companies. Programming skills in python, R and SQL mainly. A little bit experience with GCP as well
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Experience
Senior Data Scientist Consultant Lead
Feb, 2024 - Jun, 2024
•
4 months, 1 day
TransUnion
Feb, 2024 - Jun, 2024
•
4 months, 1 day
Sensitivity Analysis for machine learning models design for detection fraud in credit card, analysis of improvement metrics of customers if they were using TransUnion products
Feb, 2024 - Jun, 2024
•
4 months, 1 day
Western Union
Oct, 2020 - Jan, 2024
•
3 years, 3 months
Decision Scientist
May, 2022 - Jan, 2024
•
1 year, 8 months
Machine learning modeling, strategy design, data mining in order to get insights and optimize losses, fraud detection and chargeback collection applications
Associate Decision Scientist
Oct, 2020 - May, 2022
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1 year, 7 months
Machine Learning modeling and building strategy for fraud detection applications in payments industry
Oct, 2020 - Jan, 2024
•
3 years, 3 months
Data Scientist
Jul, 2019 - Oct, 2020
•
1 year, 3 months
Costarican Institute of Electricity
Jul, 2019 - Oct, 2020
•
1 year, 3 months
Machine learning modeling and data analysis for theft detection in power distribution business
Jul, 2019 - Oct, 2020
•
1 year, 3 months
Education
Financial Engineering
2023 - 2024
•
1 year
United States
2023 - 2024
•
1 year
Universidad de Costa Rica
2018 - 2024
•
6 years
Bsc. Actuarial Science
Costa Rica
2018 - 2024
•
6 years
Universidad de Costa Rica
2012 - 2017
•
5 years
Bsc. Economics
Costa Rica
2012 - 2017
•
5 years
Qualifications
Statistics and Data Science Micromaster
2022
Massachussets Institute of Technology
This MicroMasters program in Statistics and Data Science is comprised of four online courses and a virtually proctored exam that will provide you with the foundational knowledge essential to understanding the methods and tools used in data science, and hands-on training in data analysis and machine learning. Students dive into the fundamentals of probability and statistics, as well as learn, implement, and experiment with data analysis techniques and machine learning algorithms.
2022
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