Patricia E. Narváez
About Patricia E. Narváez
Patricia E. Narváez is a Product Analyst currently working at Envato, where she has been employed since 2021. She has a strong background in computer science and engineering, with previous roles at IBM and Universal Scientific Industrial de Mexico, and is pursuing a Master's degree with a focus on Machine Learning.
Work at Envato
Patricia E. Narváez has been working at Envato as a Product Analyst since 2021. In this role, she applies her analytical skills to enhance product offerings and user experience. Prior to her current position, she served as a Data Analyst at Envato from 2019 to 2021, where she focused on data-driven insights to inform product development strategies.
Education and Expertise
Patricia is pursuing a Master's in Computer Science with a specialization in Machine Learning at the Georgia Institute of Technology. She holds a Bachelor's degree in Ingeniería Mecatrónica from Tecnológico de Monterrey, completed in 2016. Additionally, she has an Especialidad in Logística y cadena de suministros from Universidad Autónoma de Guadalajara, achieved in 2017.
Background
Before joining Envato, Patricia worked as a Business Analyst and SAP Consultant at IBM from 2017 to 2019 in the Guadalajara Area, Mexico. She also held a position as Ingeniero de producto at Universal Scientific Industrial de Mexico S.A. de C.V. for three months in 2017. Her diverse background includes experience in scientific research for product development and engineering.
Technical Skills
Patricia is proficient in various software tools and programming technologies. She utilizes SolidEdge, Matlab, Adobe Creative Suite, and Figma in her work. Her programming skills include SQL, MATLAB, Java, JavaScript, HTML/CSS, Python, and C++. She is also fluent in Spanish and English, with basic proficiency in French.
Achievements in Data Analysis
Patricia has demonstrated a strong commitment to data analysis, exemplified by her exploration of a dataset for 24 hours straight. This reflects her passion for uncovering hidden insights and her ability to utilize statistical analysis and empirical knowledge to explain unusual data fluctuations.