Customer Retention Enhancement through Predictive Analytics 6 AI Sales Analytics Platform
Developed and evaluated classification machine learning models to predict customer churn, enabling targeted retention strategies for at-risk clients.
Amazon Externship via Extern·🟢 Open to work
Physics major sharpened technical skills in data analytics while advancing an early but committed career direction.
A collection of analytics-related work and learning projects that show how I apply physics thinking and grow technical skills in data analysis.
Developed and evaluated classification machine learning models to predict customer churn, enabling targeted retention strategies for at-risk clients.
Analyzed 250K+ simulated transactions for customer segmentation and trial store evaluation; identified 15% sales uplift opportunity through quasi - experimental methodology.
Physics major sharpened technical skills in data analytics while advancing an early but committed career direction.
I graduated with a degree in Physics from Institut Pertanian Bogor and have a keen interest in data-driven analytics. With over a year of experience in the data ecosystem, I focus on creating analytical solutions, AI/ML systems, and scalable ETL/ELT pipelines. My internships at Home Credit Indonesia and ID/X Partners helped me develop credit risk models that made a tangible impact on business. I am skilled in Python, SQL, Excel, and BI visualization tools, and I enjoy turning complex data into a
Externships
Amazon Operational Strategy & People Analytics Externship
Amazon
Experience
Data Scientist Project Based Internship
Home Credit Indonesia · Oct 2025 - Nov 2025
Machine Learning Engineer Cohort
DBS Foundation Coding Camp · Feb 2025 - Jul 2025
Data Scientist Project Based Internship
ID/X Partners · Jan 2025 - Feb 2025
Education
IPB University 6 Bogor, Indonesia
B.Sc. Physics
Skills
Developed and evaluated classification machine learning models to predict customer churn, enabling targeted retention strategies for at-risk clients.
Analyzed 250K+ simulated transactions for customer segmentation and trial store evaluation; identified 15% sales uplift opportunity through quasi - experimental methodology.
Built a hybrid RAG system integrating Gemma 3, ChromaDB, and Gemini API via Agno framework for local PDF reasoning and web-grounded search.
Designed a conceptual "Integrated Artificial Intelligence Nuclear Facility" (IAINF) aimed at increasing radioisotope production efficiency by 50% and reducing costs by 30%.