Juan José Pardo Sierra

Juan José Pardo Sierra has diverse work experience in data science and engineering. Juan José currently works as a Data Scientist/ML Engineer at QUANT AI Lab, where they implement models in the retail customer department, including churn models, uplift models, and coupon recommender models. These models have led to significant savings in campaign expenses and adjusted discounts by 15%.

Prior to their current role, Juan worked at Teradata as a Data Scientist/ML Engineer, focusing on A/B Testing, predictive maintenance, and graph problems. Juan José also gained experience in workflow, continuous integration, and continuous deployment using GitLab, Docker, and Rancher, as well as API Rest Implementations and agile methodologies like Jira.

Before Teradata, Juan worked at Atos as a Data Scientist/ML Engineer, where they focused on supply-demand forecasting, predictive maintenance using Gradient Boosting with Python and Spark, and cost power flow optimization in lines.

Juan has also worked as a Business Analyst at SDG Group Iberia, where they developed skills in analyzing business requirements and providing insights.

Earlier in their career, Juan worked as a Data Scientist at Vilma Oil, where they gained experience in data analysis and modeling. Juan José also served as a Risk Management Analyst at Vilma Oil, where they focused on risk assessment and mitigation strategies.

Through their work experience, Juan has developed expertise in various aspects of data science, including modeling, machine learning, statistical analysis, and business analysis.

Juan José Pardo Sierra pursued their education in a chronological order as follows: From 2008 to 2014, they attended ETSII UPM, where they obtained a degree in Industrial Engineering with a specialization in Energy. Later, from 2017 to 2018, they enrolled at Madrid Business Intelligence School where they pursued a Master of Science (MS) degree in Data Science.