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.
Python
Amazon Externship via Extern·🟢 Open to work
Physics graduate focused on data driven ecosystem
Physics major sharpened technical skills in data analytics while advancing an early but committed career direction.
Work samples
A collection of analytics-related work and learning projects that show how I apply physics thinking and grow technical skills in data analysis.
Customer Retention Enhancement through Predictive Analytics 6 AI Sales Analytics Platform Retail Analytics 6 Quantium Virtual Internship (Forage) Retail Analytics 6 Quantium Virtual Internship (Forage)
Analyzed 250K+ simulated transactions for customer segmentation and trial store evaluation; identified 15% sales uplift opportunity through quasi - experimental methodology.
PythonPandasMatplotlibStatistical Testing
About me
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
In progress
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
PythonSQLExcelBI visualization toolsMATLABPandasNumPyScikit-learnLightGBMRandom ForestXGBoostLogistic RegressionDBSCANK-MeansNLPPower QueryDAXLangChainChromaDBStreamlitAgnoGemini API
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.
Python
Retail Analytics 6 Quantium Virtual Internship (Forage)
Analyzed 250K+ simulated transactions for customer segmentation and trial store evaluation; identified 15% sales uplift opportunity through quasi - experimental methodology.
PythonPandasMatplotlibStatistical Testing
Gemma 3 Local RAG Reasoning Agent
Built a hybrid RAG system integrating Gemma 3, ChromaDB, and Gemini API via Agno framework for local PDF reasoning and web-grounded search.
AgnoLangChainChromaDBStreamlit
Integrated AI Nuclear Facility 6 Program Kreatifitas Mahasiswa 6 Gagasan Futuristik Tertulis (PKM 6 GFT)
Designed a conceptual "Integrated Artificial Intelligence Nuclear Facility" (IAINF) aimed at increasing radioisotope production efficiency by 50% and reducing costs by 30%.
✅ Verified by Extern · ⏱️ In progress
Amazon Operational Strategy & People Analytics Externship
Imagine shaping how AMAZON — yes, THE Amazon — welcomes and keeps its workforce. Every year, Amazon loses billions because new hires leave before Day 90. You’re going to fix that. In this externship, you’ll web scrape real-world employee reviews from across the web, extract actionable insights, and design persona-driven strategies to help Learning Ambassadors connect smarter, faster, and more humanely. It’s part research, part strategy—and all about learning how people data drives big decisions.
Data AnalysisPythonStrategyOperations
Overview
The externship examined retention challenges in Amazon fulfillment operations through people-data analysis and persona-driven strategy work. The project combined web-scraped employee review analysis with operational-context research and produced structured findings and recommendations derived from those data sources.
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What I've accomplished
I researched how fulfillment centers operate, connected that operational context to employee experience signals, and used those insights to shape people-analytics deliverables.
