With a background in Product Management and Analysis, I bridge the gap between technical data systems and business operations. I focus on making effort to boost productivity, cut operational costs, mitigate compliance risks, and accurately forecast resource demands, ensuring the sustainable enterprise growth.
60-hour end-to-end analysis on 100k+ orders from the Olist marketplace.
Applied K-Means clustering to segment sellers into risk tiers, identified
freight margin leakage, and built a delivery-delay satisfaction intelligence
layer delivered as a Power BI executive dashboard.
Insight: Seller Risk Scoring Requires Both Dispatch Metrics and Customer Voice. NLP
enrichment from review text adds a layer of early warning that SLA-only scoring cannot capture. Freight
Leakage Lives in the Long Tail, Not the Average.
Predicting customer churn for a telecommunications provider using
historical subscription and usage data. Logistic Regression and Random
Forest models identify high-risk customer segments, enabling proactive
retention campaigns before churn events occur.
Insight: Predicting Churn Requires Behavioral Signals, Not Just Demographics. The
strongest predictors in telecommunications are behavioral aspects like contract tenure and service bundle
counts.
Cohort-level analysis of 32,593 student records from the Open University
Learning Analytics Dataset (OULAD). Identifying engagement drop-off patterns,
assessment submission behaviors, and predictors of student withdrawal to
support early intervention strategies.
Insight: Non-submission is a withdrawal announcement — 92% of students who miss
the first assessment deadline exit the course. VLE engagement diverges as early as week 3,
giving a 6-week window to intervene before withdrawal becomes irreversible.
Swinburne University of Technology, Australia
Benedictine University (USA), Vietnam Cohort
The Effect of Gamification on EFL Learners’ Vocabulary and Speaking Skill Improvement
Available for entry-level to graduate positions in data analysis, product analysis, business analysis, and associate machine learning roles in Australia.