Rizky fildzatunnafsi
@rizkyfildzatunnafsi
I build predictive models and dashboards that turn data into decisions.
What I'm looking for
I'm developing predictive models and interactive dashboards through the Monash-Warwick TeaMWork Internships Program with Dennis Eagle UK, using supplier-defect data to identify quality trends and support future monitoring.
As a Master of Data Science candidate at Monash University, I'm building a rubric-based LLM evaluation framework for politeness using human-annotated data, controlled experiments, Spearman correlation, and Quadratic Weighted Kappa. I've also analysed online-learning activity data in Python to study student disengagement and academic outcomes.
My Chemical Engineering background adds quantitative modelling, research, and process-design experience, while teaching Python and English has strengthened how I communicate technical ideas clearly.
Experience
Work history, roles, and key accomplishments
Virtual Project Intern
Dennis Eagle UK
Jun 2026 - Jul 2026 (1 month)
Developed predictive models and an interactive dashboard from supplier-defect data to identify quality trends and support decision-making. Collaborated in an international multidisciplinary team to translate stakeholder needs into analytical outputs.
Part-time English Teacher
Daarul Rahman Boarding School
Jul 2024 - Jun 2025 (11 months)
Prepared and delivered foundational English lessons focusing on grammar, vocabulary, and practical communication.
Engineering Student Intern
PT Pertamina Gas
Jul 2023 - Aug 2023 (1 month)
Observed natural-gas distribution and gas compression station operations, building an understanding of related engineering and business processes.
Education
Degrees, certifications, and relevant coursework
Monash University
Master of Data Science, Data Science
2024 -
Grade: WAM: 83
Master of Data Science candidate with a WAM of 83, recipient of the Monash University Indonesia President's Excellence Award.
Universitas Indonesia
Bachelor of Engineering, Chemical Engineering
2020 - 2024
Grade: GPA: 3.72/4.00, Cum Laude
Bachelor's degree in Chemical Engineering with a GPA of 3.72/4.00, Cum Laude, and undergraduate research in computational chemistry.
Hanyang University
Nanodegree, Consumer Behavior
2024 - 2024
Visiting student program with selected coursework in Consumer Behavior, Modern Society, and Marketing.
Availability
Location
Authorized to work in
Portfolio
github.com/RizkyFildzaJob categories
Skills
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