Lucas Mateo Perrone
About Lucas Mateo Perrone
Lucas Mateo Perrone is a Software Engineer at Regrow Ag with extensive experience in data science, machine learning, and cloud platforms.
Current Role at Regrow Ag
Lucas Mateo Perrone is currently working as a Software Engineer at Regrow Ag. He started this role in 2022 and operates out of Buenos Aires, Argentina. His responsibilities include developing software solutions aimed at enhancing agricultural practices. As part of his work, he utilizes his extensive background in software engineering to ensure the reliability, scalability, and efficiency of the applications developed at Regrow Ag.
Past Experience at Globant
Before joining Regrow Ag, Lucas worked at Globant as a Data Scientist and Machine Learning Engineer from 2021 to 2022. His role spanned 10 months in Buenos Aires, Argentina, where he focused on the development of machine learning models. He implemented both supervised and unsupervised learning techniques and worked with frameworks like Keras to deploy efficient machine learning solutions.
Experience at Santander Argentina
Lucas held multiple roles at Santander Argentina. He was a Digital Lead in Data for 4 months from 2020 to 2021 and a Web Developer for 7 months in 2020. During his tenure, he leveraged his skills in web development and data management to improve the bank's digital infrastructure. His contributions helped enhance the user experience and the management of digital assets.
Educational Background
Lucas Mateo Perrone holds a Licenciatura in Economics from the University of Buenos Aires, where he studied from 2008 to 2014. Additionally, he has completed a Data Science career program at Acámica from 2019 to 2020. He also undertook a Statistical Learning course at Stanford University in 2020. His educational background lays a strong foundation for his expertise in data science, statistical analysis, and economic theory.
Technical Skills and Expertise
Lucas possesses a diverse skill set, particularly in the area of software engineering and data science. He is proficient in deploying applications on multiple cloud platforms, including AWS, GCP, and Heroku. His programming prowess spans languages and frameworks like Python, JavaScript/TypeScript, and Go. He has developed machine learning models using Keras and implemented data engineering solutions with tools like Airflow, dbt, Spark, and Kafka. Lucas is also skilled in data visualization using Plotly, Matplotlib, Seaborn, Tableau, Dash, and Google Data Studio.