About Me
I'm a multidisciplinary professional with a background in Physics and an MBA from SBM ITB, combining business strategy with data analytics to help organizations make smarter, data-informed decisions.
With practical training in Data Science and Machine Learning, I've worked on real-world projects such as customer churn prediction (telecom & e-commerce), housing price prediction, and sales optimization. I've also published academic research using Artificial Neural Networks (ANN), showcasing my ability to apply analytical methods to impactful challenges. I also published a business research project on consumer purchasing intention in live commerce streaming, reflecting my strong foundation in both technical modeling and digital business strategy.
Skilled in Python, SQL, Excel, and proficient in Google Looker Studio and Power BI for building dashboards and delivering data-driven insights. Experienced with Pandas, Scikit-learn, and data visualization techniques to uncover actionable patterns that support business growth. I thrive in collaborative, fast-paced environments that value critical thinking and strategic problem-solving.
I am Google-certified in Data Analytics and Advanced Data Analytics, an AWS Generative AI Graduate, and also hold a Data Science & Machine Learning certification from Purwadhika Digital Technology School, further validating my technical expertise and professional training.
Open to opportunities in data analytics, business analysis, or related fields where I can drive value through data and collaboration.
Skills
Hard Skills
Data Analysis & Statistics
- RFM analysis
- Statistical modeling
- Hypothesis testing
- SEM-PLS analysis
Programming & Tools
- Python (Pandas, NumPy, Scikit-learn)
- R (Statistical Analysis, Data Visualization)
- SQL, Tableau
- Google Looker Studio, Power BI, Metabase
- Matplotlib, Seaborn, Altair
- Microsoft Office Suite
- FANNTools, SmartPLS
Machine Learning
- Classification & Regression
- Supervised Machine Learning
- RMSE, EGA Analysis
- Sensitivity & Specificity Analysis
Research & Analysis
- E-commerce Behavior Research
- ANN-based Measurements
- Market Research Methodologies
Soft Skills
Problem-Solving & Critical Thinking
- Analytical Thinking
- Adaptability
- Proactive Solution-Finding
Communication & Collaboration
- Technical Communication
- Stakeholder Management
- Team Leadership
Leadership & Organization
- Strategic Planning
- Team Management
- Resource Allocation
Time Management
- Multitasking
- Deadline Management
- Prioritization
Additional Skills
Customer Behavior Analysis
- Consumer Segmentation
- Behavioral Analysis
International Business Exposure
- AI Strategy Programs
- Retail Strategy Programs
Certificates
Google Advanced Data Analytics Professional Certificate
Issued by Coursera
Google Advanced Data Analytics Professional Certificate
Issued by Google (Credly)
Data Science & Machine Learning Program
Issued by Purwadhika Digital Technology School
Publications
Inference of FTIR Characterization Results of Human Blood Glucose Levels using Artificial Neural Network (ANN)
Applied Sciences and Engineering Technology Journal
Published: Mar 17, 2025
Non-invasive blood glucose prediction using FTIR and ANN for medical innovation.
Analysis of Purchasing Intention in the Fashion Industry: Enhancing Product Sales through Live Commerce Streaming
International Journal of Current Science Research and Review (IJCSRR)
Published: Mar 28, 2024
Live-streaming commerce impact on fashion industry purchase intention in Indonesia.
Education
School of Business and Management ITB
Notable Achievements:
- Published research on e-commerce consumer behavior using SEM-PLS analysis.
- Conducted mixed-method research on media attractiveness, pricing strategies, and social media marketing impact.
- Participated in an exclusive business immersion program in Bangkok, Thailand.
IPB University
Notable Achievements:
- Developed an innovative non-invasive blood glucose measurement technique using Artificial Neural Networks (ANN).
- Presented research at an International Webinar on Physics and Student's Networking.
- Actively participated in various campus organizations and events.
Projects
Non-Invasive Blood Glucose Detection using ANN
🎯 Innovation
Built AI-powered non-invasive blood glucose detection system eliminating costly reagents
🔬 Technical Excellence
Achieved high accuracy using ANN with FTIR spectroscopy across 3 optimal wavelength ranges
🏆 Published Research
International journal publication demonstrating real-world healthcare application of ML
Live Commerce Behavior in Fashion Industry
📊 Business Analytics
Applied PLS-SEM statistical modeling to analyze consumer behavior in Indonesia's fashion industry
💡 Strategic Insights
Identified key drivers: media richness, price fairness, social media marketing impact
🎯 SME Impact
Delivered actionable recommendations for digital marketing strategy optimization
Customer Churn Prediction – Telco (IndoHome)
📊 End-to-End ML Pipeline
Built interpretable churn prediction model with ADASYN balancing and Streamlit deployment
💰 Cost-Saving Strategy
Demonstrated significant retention cost reduction vs mass promotion campaigns
📈 Business Intelligence
Created 3 interactive Tableau dashboards for executive decision-making
E-Commerce Customer Churn Prediction
🎯 High-Performance Model
XGBoost achieved exceptional F2 score of 0.9617 with SHAP interpretability
💰 Massive ROI Potential
Projected ₹45M/month cost savings through targeted retention campaigns
🚀 Production Ready
Deployed interactive Streamlit app for real-time churn risk assessment
Car Management System with CRUD Operations
💻 Full-Stack Development
Built comprehensive rental management system with dual user roles (customer + admin)
🔐 Enterprise Features
Implemented secure authentication, CRUD operations, and interactive CLI interface
⚡ Production Ready
Clean modular architecture demonstrating real-world software development skills
SaaS Sales Growth Optimization via Analytics
🌍 Global Scale Analysis
Analyzed SaaS sales data across 48 countries and 262 cities for growth optimization
📈 Strategic Insights
Discovered seasonal patterns, discount impact, regional performance drivers
💼 Business Value
Delivered actionable recommendations for product focus and market expansion
California Housing Price Prediction
🎯 High Performance ML
XGBoost model achieved 81% accuracy (R²=0.81) with advanced feature engineering
💰 Real Estate Intelligence
Identified key price drivers: median income and ocean proximity across 58 counties
⚙️ Production Deployment
Model ready for real-world deployment with comprehensive evaluation metrics
Contact
Let's Work Together!
I'm always open to new opportunities and collaborations.