Francisco Salas
About Francisco Salas
Francisco Salas is a Data Engineer at Sunnova Energy with a background in data science and analysis, having previously worked at DXC Technology and Texas Children's Hospital.
Current Role at Sunnova Energy
Francisco Salas is currently a Data Engineer at Sunnova Energy, a position he has held since 2021. Operating out of Houston, Texas, Francisco engages in developing and optimizing data solutions. He utilizes his expertise in big data technologies like Apache Cassandra and Apache Airflow to enhance data pipelines and storage systems. Francisco's role includes employing advanced data visualization tools such as Plotly and Bokeh to create interactive data visualizations, thereby facilitating data-driven decision-making at Sunnova Energy.
Previous Experience at DXC Technology
Before his current role, Francisco worked as a Data Scientist at DXC Technology from 2019 to 2020. Based in New Orleans, Louisiana, he specialized in applying machine learning techniques such as Naive Bayes and Support Vector Machines to generate insights from large data sets. His contributions were instrumental in improving data analytic capabilities and leveraging data for strategic business processes at DXC Technology.
Long-term Tenure at Texas Children's Hospital
From 2008 to 2019, Francisco Salas served as a Data Analyst at Texas Children's Hospital in Houston, Texas Area. During his 11-year tenure, he was responsible for enhancing data management systems and supporting various healthcare analytics initiatives. His work primarily focused on improving data accessibility and reliability, thus playing a crucial role in supporting patient care and hospital operations through data-driven insights.
Educational Background in Data and Computer Science
Francisco Salas has an extensive educational background that includes a Bachelor of Science in Computer Science from the University of Houston-Downtown, completed between 2013 and 2017. Furthering his expertise, he pursued a Data Science Career Track at Springboard, earning his credential in 2018. In 2021, he achieved a Data Engineering Nanodegree from Udacity. These qualifications have equipped him with a solid foundation in data engineering, data science, and computer science.
Contributions to Open-Source Projects and Personal Blog
Francisco is actively involved in the open-source community, contributing to various projects on GitHub. His expertise spans multiple programming languages including Python and Go. Additionally, Francisco maintains a personal blog where he shares insights and tutorials on data engineering and related technologies. His blog serves as a resource for professionals and enthusiasts looking to deepen their understanding of big data tools and methodologies.