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Data Science with less than a year in data analysis, machine learning & business reporting.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Statistics graduate from Institut Teknologi Sepuluh Nopember (ITS) with experience in data analysis, dashboard development, business reporting, and machine learning. Proficient in Python, SQL, Excel, Google Sheets, Power BI, and Tableau. Experienced in transforming operational and workforce data into actionable insights through dashboard development, reporting automation, and analytical reporting to support business decision-making.
Institut Teknologi Sepuluh Nopember
Bachelor · Statistics
August 1, 2021 – June 30, 2025
SHELTER INDONESIA
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PT Terminal Petikemas Surabaya
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Dinas Koperasi Usaha Kecil dan Menengah Provinsi Jawa Timur
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August 1, 2024 – November 1, 2024
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PT Bank Tabungan Negara (Persero) Tbk
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August 1, 2024 – September 1, 2024
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PDAM Surya Sembada
Surveyor Data Collector
August 1, 2023 – October 1, 2023
Surabaya, East Java, Indonesia
Forecasting Passenger Volume of Argo Bromo Anggrek Train Using XGBoost
January 1, 2025 – December 31, 2025
Developed forecasting models using XGBoost to predict passenger demand and evaluate forecasting performance.
Gate Optimization at Container Terminal Operations
January 1, 2025 – December 31, 2025
Conducted queue simulation and utilization analysis to identify operational bottlenecks and improve operational efficiency.
Cultural Fit Analysis
The candidate's academic background in Statistics and diverse internship experiences across different sectors (logistics, banking, government, operations) suggest a broad interest in applying data science principles. Their involvement in academic projects like forecasting and classification aligns well with a data science role. The candidate's willingness to engage in both data collection and advanced analysis indicates a comprehensive understanding of the data lifecycle, which is beneficial for team collaboration and understanding end-to-end data solutions.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and applying data analysis techniques in various internship settings. Their experience in report automation and dashboard development indicates an ability to improve operational efficiency. The diverse project experience, including academic research and industry internships, suggests adaptability and a willingness to tackle different types of data challenges. However, the experience level is entry-level, which might require more guidance in a senior role.