Curriculum Vitae
Ken Azizan
Ken is a final-year Information System and Technology student at Institut Teknologi Bandung with hands-on experience as a Data Scientist intern at leading companies. His project experience includes developing machine learning models and natural language processing solutions, demonstrating strong analytical and problem-solving capabilities through complex data challenges. Ken is proficient in Python, SQL, Tableau, and Power BI, with a focus on data science, machine learning, natural language processing, and data visualization. He demonstrates strong collaboration skills by working effectively with cross-functional teams to deliver data-driven solutions, combining technical capabilities with analytical thinking and stakeholder communication.
Sedang berjalan
Institut Teknologi Bandung
S1 • Sistem dan Teknologi Informasi • IPK 3.76
Juni 2024 - Agustus 2024
Data Scientist
PT Bank Mandiri (Persero) Tbk • Magang
-Developed a housing loan propensity model using ensemble methods with scikit-learn library, improving targeted customer acquisition for the lending team.
-Developed data-driven customer personas based on model features, optimizing marketing campaign strategies and improving customer segmentation.
-Collaborated with cross-functional teams to define modeling requirements, ensuring alignment with business objectives and delivering actionable, data-driven solutions.
-Designed and optimized complex SQL queries for efficient extraction, cleaning, and preparation of large datasets from relational databases, streamlining the data pipeline for model development and analysis.
Januari 2024 - Januari 2024
Data Scientist
Bank Indonesia • Magang
-Led research analyzing the correlation between financial sentiment and economic indicators in Indonesia, enhancing the bank's macroeconomic forecasting capabilities through data-driven analysis.
-Engineered an Indonesian financial sentiment analysis using Large Language Models, achieving 85% accuracy in sentiment tracking across major news outlets and financial publications.
-Strengthened the bank's nowcasting framework by implementing real-time sentiment indicators, reducing forecast error rates by 30% and enabling more timely economic predictions.
-Implemented a Graph Neural Network-based fraud detection system for identifying illegal gambling transactions, resulting in a 40% improvement in suspicious activity detection rates.
Juni 2023 - Juli 2023
IT Intern
Krakatau International Port • Magang
-Architected and implemented a SQL Server database for the Warehouse Management System (WMS), successfully integrating it with existing infrastructure to optimize inventory tracking and logistics operations.
-Spearheaded the development of interactive data visualizations for port activities, providing management with actionable insights into warehouse conditions and operational efficiency.
-Led cross-functional collaboration with warehouse and operations teams to gather requirements, refine WMS specifications, and ensure alignment with strategic business objectives.