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Data Analyst with less than a year in Machine Learning and Data Visualization
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Information Systems graduate specializing in Data Analysis. Experienced in cleaning, analyzing, and visualizing datasets using Python and SQL through team-based end-to-end projects. Familiar with basic machine learning concepts and data warehousing fundamentals.
Gunadarma University
Bachelor's Degree · Information Systems
September 1, 2021 – January 1, 2026
Phishing Domain Detection Project
April 1, 2024 – September 1, 2025
Analyzed 269,650 phishing domains using Python to identify high-risk patterns such as free SSL usage, incomplete WHOIS data, and cloud hosting providers. Built and evaluated Logistic Regression, Decision Tree, and Random Forest models; Random Forest achieved 99% accuracy and 0.9909 AUC.
NTSB Aviation Accident Trend Analysis
February 1, 2024 – June 1, 2024
Led a team of four to analyze aviation accident data from 1962-2023. Identified key trends: 92% of accidents occurred during clear weather, the approach phase had the highest fatality rate (~49%), and accidents increased by 2.37% over the last decade.
EF SET English Certificate (C1 Advanced)
EF SET
January 1, 2026 – Present
BNSP Data Analyst Certificate
BNSP
January 1, 2025 – January 1, 2028
Studi Independen Kampus Merdeka: Cloud Data Engineer & GenAI
Studi Independen Kampus Merdeka
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects show a proactive approach to learning and applying data analysis skills. The 'Studi Independen Kampus Merdeka: Cloud Data Engineer & GenAI' certification indicates an interest in emerging technologies and continuous learning, which aligns well with a growth-oriented culture. The team leadership experience, even in an academic setting, suggests an ability to collaborate and contribute to team goals. However, the low psychometric test score could be a concern for cultural fit, particularly regarding team collaboration and work attitude.
Soft Skills & Operational Fit
The candidate demonstrates leadership potential through the NTSB project and a structured approach to problem-solving in the Phishing Domain Detection project. The psychometric test score is low, which might indicate areas for development in logical reasoning, work attitude, stress handling, or team collaboration. Further assessment would be needed to understand the implications for operational fit.