Sebastian Gonzalez

Sebastian Gonzalez is a Business Intelligence Analyst with experience in quantitative analysis. In 2022, they began working for Somos Internet as a Business Intelligence Analyst. At Neta, they developed a frequent pattern algorithm using Python that matched top performing products and increased the product margin by 66%, and increased user interaction with discounted products from 7% to 15%. Sebastian also created automatic dashboards with SQL, in which KPI’s like profitability, discoverability, and user conversion could be tracked down with daily and weekly frequency. Additionally, they generated A/B testing campaigns with Optimizely to test the effects in different new consumer behavior hypothesis on conversion, click-through rate, and revenue finding relevant situations for which their indicators improved 110%. In 2021, they worked as a Cuantitative Analysis Intern at PROTECCIÓN S.A., where they restructured the team’s data science projects from scratch and managed the upload of data tables to GCP to improve the ETL process of the project with SQL and Python, reducing the execution time from 8 hours to 10 minutes. Sebastian also improved dashboards to effectively portray information for insight, liquidity risk, and growth opportunities, and created python scripts to efficiently handle daily tasks, reducing daily processing time by 3 hours.

Sebastian Gonzalez obtained their High School Diploma from The Columbus School. Sebastian then attended Universidad EAFIT from 2018 to 2022, where they earned a Bachelor of Science in Finance, General. Sebastian also obtained various certifications from Coursera and TensorFlow, including the DeepLearning.AI TensorFlow Developer Specialization, Sequence Models, Deep Learning Specialization, Convolutional Neural Networks, Structuring Machine Learning Projects, Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization, Neural Networks and Deep Learning, and the TensorFlow Developer Certificate.