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Data Analyst with 1+ years in Data Analysis & Machine Learning
Data Science undergraduate at the State University of Surabaya with hands-on experience in data analysis, machine learning, and data visualization through academic and practical projects. Proficient in Python, SQL, Microsoft Excel, and PostgreSQL for data cleaning, transformation, exploratory data analysis (EDA), statistical analysis, and dashboard development. Experienced in analyzing structured and unstructured datasets, building predictive models, and generating actionable insights to support data-driven decision-making. Former Google Student Ambassador with strong analytical, communication, and teamwork skills, eager to contribute as a Data Analyst in a collaborative and fast-paced environment.
State University of Surabaya (UNESA)
Bachelor of Data Science · Data Science
September 1, 2024 – Present
Data Science Student Association (HIMASADA)
Public Relations Staff - ACTION 2025
October 27, 2025 – November 30, 2025
India
Data Science Student Association (HIMASADA)
Event Division Staff – RELOUD 2025
September 13, 2025 – September 20, 2025
India
Google Gemini Indonesia
Google Student Ambassador
January 1, 2025 – June 1, 2026
India
State University of Surabaya
Coach - Student Orientation Program (ORIGAMIPA)
January 1, 2025 – June 1, 2026
India
Life Expectancy Prediction Using Multiple Linear Regression
January 1, 2025 – December 31, 2025
Developed a predictive model to estimate life expectancy using socioeconomic and health-related indicators. Conducted exploratory data analysis (EDA), feature selection, multicollinearity assessment, and regression model evaluation. This project identifies key factors affecting life expectancy and demonstrates statistical modeling and predictive analytics skills.
Database Systems Project – PostgreSQL Database Management
January 1, 2025 – December 31, 2025
Designed and managed relational database systems using PostgreSQL. Performed database creation, table relationships, SQL querying, JOIN operations, schema modification, and CRUD implementation. This project strengthened practical knowledge of relational database design, query optimization, and structured data management.
Data Mining Project - Educational Data Integration & Analytics
January 1, 2025 – December 31, 2025
Developed a comprehensive data integration workflow by combining educational datasets, social media text, and information extracted from PDF documents. The project involved data cleaning, text preprocessing, entity extraction, dataset merging, and statistical analysis to generate meaningful insights into Indonesia's education landscape.
Machine Learning Project – Customer Churn Prediction & Customer Segmentation
January 1, 2025 – December 31, 2025
Developed predictive machine learning models to identify customers with a high risk of churn in the telecommunications sector. Applied classification algorithms, clustering techniques, feature engineering, and model evaluation to support customer segmentation and data-driven retention strategies.
Deep Learning Project – CNN-Based Spoken Digit Recognition
January 1, 2025 – December 31, 2025
Developed an end-to-end spoken digit recognition system using Convolutional Neural Networks (CNN). Extracted audio features using MFCC and Mel-Spectrogram techniques before training and evaluating deep learning models for speech classification in low-resource environments.
Natural Language Processing Project – Sentiment & Topic Analysis of MBG Program
January 1, 2025 – December 31, 2025
Conducted large-scale sentiment and topic analysis on public discourse regarding Indonesia's Free Nutritious Meals (MBG) Program using more than 7,000 social media posts from X (Nitter) and YouTube. Applied IndoBERT for sentiment classification and Latent Dirichlet Allocation (LDA) for topic modeling to identify platform-specific discussion patterns and public opinion.
EF SET English Certificate (C1 Advanced)
EF SET
June 1, 2026 – Present
Membangun Aplikasi Gen AI dengan Microsoft Azure
dicoding
February 18, 2026 – February 18, 2029
Belajar Penerapan Data Science dengan Microsoft Fabric
dicoding
February 17, 2026 – February 17, 2029
CS50P:CS50's Introduction to Programming with Python
HarvardX
February 6, 2026 – Present
Gemini Certified Educator
Google for Education
September 14, 2025 – September 13, 2028
The candidate scored 94% on the 'Data Scientist — Artificial Intelligence' test, indicating a very strong grasp of the subject matter and related skills.
Strengths
Limitations
Cultural Fit Analysis
The candidate's involvement in diverse academic projects and student organizations (HIMASADA, Google Student Ambassador) demonstrates a proactive, collaborative, and community-oriented mindset. Their role as a Google Student Ambassador promoting AI literacy and digital innovation suggests an eagerness to learn and share knowledge, which aligns well with a culture of continuous improvement and innovation. The breadth of their academic projects also indicates adaptability and a willingness to tackle various challenges, contributing positively to team dynamics.
Soft Skills & Operational Fit
The candidate exhibits strong soft skills including analytical thinking, problem-solving, critical thinking, communication, teamwork, and leadership, as evidenced by their involvement in student associations and the Google Student Ambassador program. These skills are crucial for a Data Analyst role, enabling effective collaboration and clear communication of insights. Their experience in organizing events and facilitating discussions also points to good operational fit in dynamic environments.