Involved in 2 projects:1. Evaluation and Proposal of KPI Variables for Field Agent Collectors - Developed a voting system model containing 5 statistical methods to determine variable significance on success rate - Automated optimal weight search using Bayesian Method and Markov Chain Monte Carlo (MCMC) Algorithm - Proposed 4 out of 6 new variables that improved productivity, effectiveness, and efficiency2. End-to-End Machine Learning Dashboard Development

• Implemented a linear regression model to predict disease severity based on client MCU data, resulting in a 15.7% reduction in associated costs• Collaborated with an Occupational Physician to analyze medical check-up data and patient histories, identifying high-risk individuals for chronic conditions and enabling targeted preventive care• Analyzed over 5 million member profiles data to identify trends with Polars, Pandas, and SQL. And Identify key factors impacting claims costs with ANOVA• Developed a statistical clustering to categorize hospitals based on treatment cost rates using Z-score• Implemented an OCR-based with PyTesseract model to automate the extraction of data from billing documents and deployed the model with Streamlit, boosting efficiency from 1 to 10 billings processed per person daily• Designed comprehensive ERD for invoice data from providers (hospitals)

• Importing and restoring databases, creating new databases, and designing fact and dimension tables• Building ETL jobs using Talend to extract, transform, and load data from staging area to the data warehouse• Designing and implementing a data warehouse to store and manage data from various sources• Creating and optimizing stored procedures to generate summary reports based on specific business requirements

Bangkit Academy is a program that provides education and training to help develop skills and build a strong foundation for a career in the tech industry in Indonesia. During my time in Bangkit Academy, I gained valuable knowledge and hands-on experience in various areas of technology and development.

• Assisted the lecturer in developing 10 practical modules covering: - immutability - first-class functions - higher-order functions - memoization - anonymous functions - recursion - pure functions - map/filter/reduce - comprehensions - lazy evaluation - data preprocessing with functional programming paradigm• Explained the topics of the practical module and assisted 50 students during the practical sessions• Checking and grading students’ practical assignments

• Supervise and manage 4 team, such as Statistical Learning Team, Machine Learning Team, Artificial Intelligence Team, Model & Software Integration Team• Designing a schedule, project plan, and weekly progress report from beginning to end• Build machine learning model for a recommendation system for new student admissions to universities for community service activities at SMAN 2 Bandar Lampung

• Assisting lecturers in compiling 5 modules for the data structure practicum, which include: - basic python - linked list - stack and queue, - graph - tree• Guiding students in practical sessions of the Data Structure Course with Python• Checking and grading students' practical assignments.