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About Candidate
A highly motivated Mathematics graduate from Institut Teknologi Sepuluh Nopember with a strong foundation in applied mathematics, particularly in mathematical modeling and data analytics. My internship experience in the Energy Transaction Division at PT PLN ULP Ngagel Surabaya allowed me to analyze consumer data, strengthening my analytical and problem-solving skills. Additionally, I have enhanced my technical expertise through a Data Analytics and Software Development with AI bootcamp in 2024, equipping me with proficiency in data processing, visualization, and software development techniques.
Education
Focused on applied mathematics, particularly in mathematical modeling, which includes deterministic and stochastic modeling, optimization, and simulation to solve real-world problems. Additionally, specialized in data analytics, encompassing data processing, statistical analysis, machine learning, and data visualization to extract meaningful insights and support decision-making.
Experiences
● Analyzed consumer data, including Mini Circuit Breakers (MCB) and kWh meters, to identify trends, detect anomalies, and provide actionable insights for operational improvements.
● Managed and structured large datasets systematically, ensuring data accuracy and reliability for inventory planning and strategic decision-making.
● Developed data visualizations and trend analysis reports to support data-driven decision-making and optimize resource allocation.
Skills
Analytical Thingking
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