WELCOME TO MY PORTFOLIO!
Scroll down and let’s get to know each other — my story, my projects, and what drives me to keep learning.
I am a highly motivated individual with a strong passion for data analytics. To strengthen my analytical foundation, I recently completed a data analytics bootcamp focused on Python, SQL, Excel, Spreadsheets, Tableau, and Power BI. I gained hands-on experience in data cleansing, visualization, and generating business insights. I look forward to applying my analytical mindset and operational experience to help organizations make data-driven decisions and drive continuous improvement.
let’s get to know ME more !
PROJECT EXPERIENCES
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Study Case of Revoairlane (Final Project Revou)
PASSANGER SATISFACTION ANALYSIS
The primary objectives of this analysis are to find improvement of services to increase 10 % airlane passenger satisfied rate for next month, Find the most unsatisfied factor for airlane passenger and improve the service
Data Cleaning, EDA, Logistic regression, Predictive Model, Python, Tablaeu
Project as a Production Supervisor (PT Porto Food Indonesia)
YIELD AND PRODUCT ANALYSIS
Process improvement project that increased yield by 4–5% and reduced rejection rate final product by 2% within 3 months through root cause analysis, machine optimization, and operator training.
Data Preparing, Data Cleaning, EDA, Continous Improvement, Excel, Data Visualization
ACTIVE USER BEHAVIOR
AND SEGMENTATION
Identify distinct user segments based on activity and engagement patterns, Understand which segments are most valuable and which are at risk of churn, Support decisions for personalization, retention, and upsell strategies.
Data Preparing, Data Cleaning, EDA, Data Unification, Data Visualization (Tableau), RFM Clustering, Feature Engineering.
UNIFIED CHANNEL PERFORMANCE REPORTING
Data Preparing, Data Cleaning, EDA, Continous Improvement, Excel, Data Visualization






