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Kristel AnasKA
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Kristel Anas

@kristelanas

Statistician skilled in data analysis, visualization, and research.

Philippines
Message

What I'm looking for

I seek an analytic role where I can apply statistical methods and visualization to real-world problems, collaborate with cross-functional teams, and grow technical expertise in data and UX research.

I am a recent BS Statistics graduate (Magna Cum Laude) from Polytechnic University of the Philippines - Manila with hands-on experience in data analysis, dashboarding, and UX research. I apply statistical and machine learning methods to support evidence-based decision making and effective visualization.

In professional roles I have developed interactive dashboards, automated reports, and conducted UX research that produced actionable product insights; I have also supported research and documentation projects for science education initiatives. My academic research includes time series forecasting and spatiotemporal mapping of public health data and multivariate epidemiological analyses.

I am collaborative, adaptable, and eager to gain further applied experience in business, medical, or sports analytics where I can contribute analytical rigor and clear communication of results.

Experience

Work history, roles, and key accomplishments

CI
Current

Enterprise Analytics Specialist

Cebu Air, Inc.

Aug 2025 - Present (10 months)

Analyze complex business data to develop interactive dashboards, automate reports, and apply analytical techniques that support data-driven decisions across multiple business units.

Education

Degrees, certifications, and relevant coursework

Polytechnic University of the Philippines - Manila logoPM

Polytechnic University of the Philippines - Manila

Bachelor of Science, Statistics

2021 - 2025

Grade: Magna Cum Laude

Activities and societies: Member, PUP Association of DOST Scholars (2021-2025); Communication and Alliance Committee - Internal, PUP Statistics Students’ Clique (2023-2024)

Completed a Bachelor of Science in Statistics with Magna Cum Laude honors, focusing on statistical analysis, time-series modeling, and data visualization.

Tech stack

Software and tools used professionally

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