Andres Gonzalez
About Andres Gonzalez
Andres Gonzalez is a Data Scientist with six years of experience in data science and machine learning. He has worked at various organizations, including Smurfit Kappa, Mensajeros Urbanos, and Factored, and holds a Master's degree in Economics from Pontificia Universidad Javeriana.
Work at Factored
Andres Gonzalez has been employed at Factored as a Data Scientist since 2022. In this role, he applies his expertise in data science and machine learning to develop solutions that enhance data-driven decision-making. His work involves utilizing advanced analytical techniques to solve complex problems and optimize processes within the organization.
Previous Experience in Data Science
Prior to his current position, Andres Gonzalez worked as a Senior Data Scientist at Mensajeros Urbanos from 2021 to 2022. He also gained experience as a Trainee at Smurfit Kappa from 2016 to 2019. His role at Banco Finandina as a Credit Analyst in 2019 further contributed to his understanding of data analysis in financial contexts.
Education and Expertise
Andres Gonzalez holds a Master's Degree in Economics from Pontificia Universidad Javeriana, where he studied from 2013 to 2015. He also completed a Data Analyst Nanodegree at Udacity from 2015 to 2016. His academic background includes a Bachelor of Economics with a focus on Econometrics and Quantitative Economics, earned from 2007 to 2013. He specializes in dynamic clustering, time series analysis, and discrete optimization models.
Research and Development Experience
In 2013, Andres Gonzalez served as an Assistant Researcher at Pontificia Universidad Javeriana for 10 months. This role allowed him to engage in research activities that enhanced his analytical skills and contributed to his understanding of data science methodologies. His involvement in research has laid a foundation for his subsequent work in data-driven environments.
Technical Skills and Tools
Andres Gonzalez has developed machine learning models utilizing various technologies, including FastAPI, Redis, and Kafka. His technical skills enable him to implement robust data solutions that address specific business needs and improve operational efficiency. His proficiency in these tools reflects his commitment to leveraging technology in data science.