Santi Anwandter
@santianwandter
Results-driven Computer Engineering student specializing in Machine Learning.
What I'm looking for
I am a fourth-year Computer Engineering student with a strong focus on Machine Learning and Data Science. My academic journey has equipped me with the skills to translate theoretical concepts into practical applications, as evidenced by my experience in developing high-accuracy predictive models and automating complex business intelligence dashboards.
Currently, I serve as a Lab Assistant at the Universidad Técnica Federico Santa María, where I administer internal services and support student-led IT projects. My internship at Esval S.A. allowed me to design and implement Power BI dashboards that streamlined data access and improved decision-making processes in water resource management. I am passionate about leveraging my data engineering and AI expertise to drive impactful solutions.
Experience
Work history, roles, and key accomplishments
Computer Science Department Lab Assistant
Universidad Tecnica Federico Santa Maria - Computer Science
Aug 2024 - Present (11 months)
Administered and maintained internal services for the Computer Science Department, fulfilling system administrator duties. Supervised and provided technical support for student-led projects in the IT projects lab.
Data Engineering & Business Intelligence Intern
Esval S.A.
Jan 2025 - Mar 2025 (2 months)
Designed a comprehensive visualization system that unified over 10 data sources, automating 90% of the workflow for the annual Water Plan report. Implemented predictive models (SARIMA/Regression) for water levels, achieving approximately 90% accuracy, and automated data integration processes.
Education
Degrees, certifications, and relevant coursework
Universidad Técnica Federico Santa María
B.S. in Computer Science & Engineering, Computer Science & Engineering
Activities and societies: Relevant Courses: Data Structures, Algorithm Analysis, Machine Learning, Databases
Fourth-year Computer Engineering student specializing in Machine Learning and Data Science. Proven ability to translate theoretical knowledge into practical solutions, demonstrated by developing high-accuracy predictive models and automating complex BI dashboards. Relevant courses included Data Structures, Algorithm Analysis, Machine Learning, and Databases.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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