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Data Science with 1+ years in data analysis, machine learning, and archive management.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
As a highly motivated candidate with a bachelor's degree in Information and Library Science, I have gained experience in archive management and library operations through internships at various institutions. This hands-on experience has honed his abilities in data organization, attention to detail, and teamwork. Additionally, his participation in Data Science, Basic AI, and Data Analyst bootcamps has equipped him with valuable skills in data analysis and problem-solving, preparing him for a career in the data analytics and data science field.
Universitas Airlangga
Bachelor of Information and Library Science
August 1, 2021 – August 1, 2025
Archive Universitas Airlangga
Archive Intern
January 1, 2025 – March 1, 2025
Surabaya, East Java, Indonesia
Library Kemendikbud Ristek
Apprenticeship
January 1, 2024 – February 1, 2024
Jakarta, Jakarta, Indonesia
BEM FISIP Universitas Airlangga
Staff
April 1, 2022 – December 1, 2022
Surabaya, East Java, Indonesia
E-commerce Customer Churn Prediction
April 1, 2026 – June 1, 2026
Predict Persebaya match outcomes in Indonesia Liga 1 (2019-2025). Performed data cleaning, preprocessing, and exploratory data analysis. Built a classification model using Logistic Regression to predict customer churn Conducted feature analysis to identify key factors influencing churn behavior
Library Recommendation System - Google Maps Review
September 1, 2025 – October 1, 2025
Collected and processed 3000+ google maps review data form library in Indonesia using python and google collab Applied Sentiment analysis use model a SVM with TF-IDF Victorization Implemented Topic Clustering using K-Means Clustering to categorize key review themes
Football match prediction - Persebaya Surabaya
September 1, 2025 – October 1, 2025
Predict Persebaya match outcomes in Indonesia Liga 1 (2019–2025). Collected and processed 100+ data match record using python and google collab Applied Logistic Regression, Random Forest, and XGBoost to classify match outcomes Conducted feature correlation and trends analysis to identify factors affecting performs
Intermediate Data Science Fresh Graduate Academy
Digitalent
July 1, 2025 – Present
Fundamental Data Science Fresh Graduate Academy
Digitalent
June 1, 2025 – Present
Data Analyst Bootcamp
SmartPath
April 1, 2025 – Present
Applied Microsoft Office
Trust Training Partners
February 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, including e-commerce churn prediction, library recommendation systems, and football match prediction, shows a broad interest in applying data science to different domains. The academic background in Information and Library Science, combined with data science certifications, indicates an interdisciplinary approach. The internships, while not directly in data science, demonstrate a willingness to learn and contribute in various professional settings, suggesting adaptability and a collaborative mindset. The target role of Data Science aligns well with the candidate's recent focus on data analysis and predictive modeling.
Soft Skills & Operational Fit
The candidate's experience in internships and organizational roles suggests an ability to work in teams, manage tasks, and contribute to project execution. The descriptions highlight attention to detail, record-keeping accuracy, and a focus on improving efficiency and engagement. These indicate a good operational fit and a foundation in soft skills relevant to a professional environment.