Machine Learning Engineer

Technical Skills: Python, SQL, Google Cloud Platform, Machine Learning, Artificial Intelligence

Education

• Bachelor’s Degree, System Information

  The University of Gunadarma (May 2011)

Work Experience

Machine Learning Engineer @ Bank Jago (June 2021 - Present)

• Specialized in fraud detection, with expertise in:
  • Judol detection by crawling data from Google, X (formerly Twitter), and Telegram.
  • Account trading detection through monitoring activities on Facebook, Telegram, and X.
  • Transaction network analytics using Python NetworkX to analyze fund flow and detect suspicious patterns.
  • Face swap detection using deep learning to identify manipulated images and fraudulent identity verification.
  • Emulator detection leveraging deep learning to detect virtualized environments used in fraud attempts.
• Developed AI agents for ICOFR (Internal Control Over Financial Reporting) risk control analysis, enabling:
  • Automated identification of control gaps in financial processes.
  • Anomaly detection in financial transactions to prevent irregularities.
  • Risk assessment models to enhance compliance and mitigate financial risks.
  • NLP-based AI for analyzing financial reports, transaction patterns, and internal audit findings.
• Experienced in designing and implementing AML (Anti-Money Laundering) rules, focusing on:
  • Detecting suspicious transaction patterns using data-driven analytics.
  • Identifying account behavior anomalies that indicate potential financial crimes.
  • Developing rule-based detection models for transaction monitoring systems.
  • Automating AML reporting to improve compliance and operational efficiency.

Data Science Instructor @ Data Science Solution (June 2022 - Present)
Focused on teaching Machine Learning, Big Data Analytics, and Natural Language Processing (NLP), guiding students through real-world projects, model development, and data-driven decision-making.

Sr Data Engineer @ Batumbu (Financial Technology) (July 2020 - June 2021)

• Responsible for designing and managing data infrastructure, including:
  • Building and maintaining data pipelines for efficient data ingestion, transformation, and storage.
  • Developing and managing a scalable data warehouse to support analytical needs.
  • Implementing and optimizing BI tools, such as Metabase, to deliver actionable insights.
  • Automating daily and monthly reports, reducing manual effort and improving reporting accuracy.
  • Ensuring data quality and reliability, supporting business intelligence and decision-making processes.

Data Scientist @ UangTeman (Financial Technology) (Feb 2019 - July 2020)

• Developed and optimized credit scoring models to assess customer risk and improve loan approval accuracy.
• Designed customer grading systems to classify borrowers based on risk factors, payment behavior, and financial stability.

Data Analyst @ Mandiri Tunas Finance (Jan 2012 - Feb 2019)
Conducted data analysis to support business decisions, focusing on financial performance, customer behavior, and portfolio risk management.

Projects

• Build Document Q&A With Advance RAG

  a Q&A document to provide comprehensive guidance on Standard Operating Procedures (SOPs) in banking. This document serves as a structured reference for addressing frequently asked questions (FAQs) related to compliance, risk management, transaction processing, customer service protocols, and regulatory requirements. By ensuring clarity and accessibility, this Q&A document helps employees navigate complex banking procedures efficiently while maintaining regulatory compliance.
  See Project

• Build AI Agent Internal Auditor

  I developed an AI agent with a three-stage process: (1) Data Collection (crawling, extraction), (2) Pattern Detection (ML, NLP, graph analysis), and (3) Decision Automation (AML, fraud prevention, ICOFR) to enhance efficiency and compliance.

• Social Media Listening

  I built a Social Media Listening system for real-time monitoring, sentiment analysis, and risk detection across X, Facebook, Telegram, and Google, leveraging AI-driven NLP and ML to analyze conversations, detect fraud, and enhance decision-making.

Certificate

• Develop GenAI Apps with Gemini and Streamlit (Google), Oct 24.
• Classify Images with TensorFlow on Google Cloud (Google), Des 24.

Publications

1. Medium - Visualizing Suspicious Transaction Patterns with Python: From CSV to Interactive Network Insights
2. Medium - Automating Online Gambling Site Registrations with AI to Uncover Hidden Bookie Accounts
3. Medium - Automating CCTV Review with Streamlit, OpenCV, and OCR