Diego Javier Battocchio
About Diego Javier Battocchio
Diego Javier Battocchio is a Senior Machine Learning Engineer currently working at Faktory and has been involved in various roles in the tech industry, including positions at the University of Buenos Aires and Digital House. He holds degrees in Electrical Engineering and Mathematical Statistics and has a strong background in developing predictive models and data analytics.
Current Position at Faktory
Diego Javier Battocchio serves as a Senior Machine Learning Engineer at Faktory, a position he has held since 2023. In this role, he focuses on developing predictive models for Real-Time Bidding (RTB), applying his expertise in machine learning to optimize bidding strategies. His work contributes to enhancing the efficiency and effectiveness of digital advertising solutions.
Experience at Facultad de Ingeniería - UBA
Since 2021, Diego has been working at Facultad de Ingeniería - UBA as Ayudante de Primera in the Physics II department. His responsibilities include assisting in the instruction of undergraduate students, contributing to their understanding of complex physics concepts. This role complements his extensive background in engineering and data science.
Educational Background
Diego completed his undergraduate studies in Electrical Engineering at the University of Buenos Aires, earning a Grado en Ingeniería from 2013 to 2019. He later pursued further education in Mathematics and Statistics, obtaining a Maestría en Estadística Matemática from the same university between 2021 and 2022. His academic journey included presenting a thesis on Bayesian non-parametric techniques for automatic speech recognition.
Previous Work Experience
Diego has a diverse work history in the tech industry. He worked as a Data Analytics Developer at Jampp from 2018 to 2019 and later as a Machine Learning Engineer at the same company from 2019 to 2021. He also held positions as a Software Engineer and Technical Advisor at InOrbit, Inc. in 2021 and 2022, and served as a Senior Machine Learning Engineer at MUTT DATA from 2022 to 2023. Additionally, he was an Instructor in Data Science at Digital House for six months in 2020.
Career Development and Skills
Diego began his career as a Control Engineer, where he developed Distributed Control Systems for heavy industries. His professional interests include tackling challenges that require innovative solutions and continuously learning new techniques and technologies. This focus on growth and adaptation has shaped his approach to machine learning and data science.