Data Scientist with 5 years of expertise in machine learning and analytics
Applied machine learning algorithms to optimize business processes and improve decision-making.
Performed comprehensive data analysis to derive actionable insights for strategic initiatives.
Utilized Python for data manipulation, modeling, and automation tasks.
Built statistical models to interpret complex datasets and inform business decisions.
Worked with multidisciplinary teams to develop and implement analytical solutions.
Dedicated data scientist with over 5 years' experience in machine learning, data analysis, and predictive modeling, focused on delivering data-driven solutions.
Managed carrier relationships and conducted negotiation and pricing processes., Carrier procurement and logistics management for a monthly volume of 250+ loads, Improved operational efficiency through communication and market analysis.
Conducted air quality and environmental research using surface and satellite datasets., Processed large databases with R, Python, and QGIS., Contributed to the National Air Quality Report 2020 (IDEAM)., Presented research at national and international conferences., Co-authored scientific articles in peer-reviewed journals.
Provided bilingual back-office and customer support., Assisted operational workflows and team coordination., Managed social media and client communication.
Supported Integrated Management System activities., Monitored environmental indicators and regulatory compliance., Conducted waste management follow-up and documentation control.
Customer service, documentation, and administrative support., Coordinated social media and commercial processes.