Open to opportunities

David Santiago

@davidsantiago

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Data Science student focused on machine learning, business intelligence, and analytics-driven decision-making.

Colombia

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What I'm looking for

I’m looking for an entry-level data science or analytics role where I can apply machine learning and business intelligence to real decision-making—especially in sports analytics—while learning in a collaborative environment and growing quickly.

I’m a Data Science student at Pontificia Universidad Javeriana with a strong foundation in machine learning, statistical models, business intelligence, and data analysis. I’m known for integrating technical and strategic approaches to problem-solving, with a commitment to excellence and continuous learning.

I’ve supported students as an Academic Tutor for “Introduction to Programming,” strengthening communication, leadership, and teamwork. In my thesis project on football tactical compatibility and scouting analysis, I built a data-driven framework using structured match event data to compare player characteristics with tactical team demands—turning insights into decision-making for sports evaluation.

Experience

Work history, roles, and key accomplishments

Academic Tutor – Programming

Pontificia Universidad Javeriana

Supported students in understanding core programming concepts and solving course-related questions for Introduction to Programming. Reinforced structured problem-solving and collaborative learning.

Academic Tutoring Student Support Communication Teamwork Debugging Problem Solving

Academic Tutor – Programming

Pontificia Universidad Javeriana

Provided academic support for the Introduction to Programming course, helping students strengthen core programming understanding. Improved communication, leadership, and teamwork through tutoring responsibilities.

Academic Tutoring Student Support Communication Leadership Teamwork Problem Solving

Thesis Project – Football Analytics

Pontificia Universidad Javeriana

Developed a data-driven football analytics framework using match event data to compare player characteristics with tactical team demands in the Premier League. Analyzed structured tactical data to identify positional roles and match patterns for scouting-oriented decision-making.

Sports Analytics Football Analytics Data Analysis Data Modeling Statistical Modeling Python SQL Machine Learning

Education

Degrees, certifications, and relevant coursework

Pontificia Universidad Javeriana

Bachelor’s Degree in Data Science, Data Science

2023 -

Grade: GPA: 4.4 (8/5)

Activities and societies: Academic tutor (Introduction to Programming). Thesis project on football tactical compatibility and scouting analysis using Premier League match event data and tactical player profiles.

Data Science student building skills across machine learning, statistical models, business intelligence, and data analysis, with a focus on sports analytics and decision support. Academic experience includes tutoring and developing a football tactical compatibility and scouting analysis project.