Francian Rodrigues

With over 5 years of experience in Data Analytics and IT, I design and deliver end-to-end analytical solutions that transform complex data into strategic decision-making assets. Currently working as a Data Scientist – SAS Developer, I lead the development of executive dashboards, analytical repositories, and automated data pipelines for public sector and strategic projects. My work has contributed to: • Reduction of data consolidation time by up to 90% through automation initiatives • Standardization of large-scale datasets improving analytical reliability and governance • Development of KPI frameworks supporting executive and operational decision-making • Integration of multiple legacy systems, enabling scalable and high-performance analytics environments Experienced in delivering analytics for public institutions and high-impact strategic environments, ensuring compliance, governance, and performance at scale. My expertise includes Advanced SQL, SAS (Viya & Visual Analytics), Python, BI strategy, and data modeling. I combine technical depth with business vision, ensuring analytical solutions are not only accurate but aligned with organizational strategy and measurable impact. I am driven by performance optimization, scalable architecture, and delivering analytical products that generate real business value.

- Perform Exploratory Data Analysis (EDA) and statistical modeling using SAS Visual Analytics, applying data mining techniques to generate actionable insights for strategic projects. 

- Design analytical models, structured datasets, and scalable data preparation workflows aligned with data warehousing best practices, ensuring data quality, governance, and analytical reliability. 

- Execute large-scale data transformation, incorporating data profiling and advanced data interpretation to support predictive and performance-oriented analysis. 

- Engineer automated data pipelines, leading data integration across multiple structured and legacy data sources in scalable analytics environments. 

- Contribute to project alignments and provide technical guidance on data modeling and validation best practices when required. 

- Led automation initiatives integrating SQL, Python, and BI tools, reducing data consolidation time by 90% and improving analytical governance. 

- Apply best practices in Data Science, performance optimization, and data ethics principles to ensure robust and interpretable analytical outputs.

Bachelor of Science in Production Engineering, Production Engineering

Jan 2019 – Dec 2023

Activities and societies: Engineering Analysis Projects • Data-Driven Problem Solving • Process Modeling • Performance Evaluation Studies • Academic Research and Technical Development

Bachelor of Science in Production Engineering with strong emphasis on analytical thinking, quantitative methods, and systems optimization. Developed solid foundations in statistics, operations research, process modeling, quality management, and performance analysis, enabling structured problem-solving and data-driven decision-making. Academic experience focused on improving operational efficiency, modeling complex systems, and applying analytical frameworks to real-world business and engineering challenges.