Data Analyst with 1+ years in Data Migration & Business Intelligence
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A highly motivated and detail-oriented Statistics graduate from Diponegoro University (GPA 3.83/4.00) with a strong foundation in data analysis, machine learning, statistical modeling, and business intelligence. Passionate about transforming raw data into meaningful insights that drive operational efficiency and strategic decision-making. Seeking a challenging role as a Data Analyst or Data Scientist where I can contribute my analytical skills, technical proficiency in Python and SQL, and hands-on experience in dashboard development, data migration, and end-to-end data pipeline management – while continuously growing in a data-driven professional environment.
Diponegoro University
Bachelor's in Statistics · Statistics
August 1, 2022 – December 31, 2025
PT Gosyen Solusi Indonesia (GSI)
Data Analyst Intern
January 1, 2026 – Present
Semarang, Central Java, Indonesia
Population and Civil Registration Office (Disdukcapil)
Statistical Data Intern
January 1, 2025 – June 30, 2026
Kabupaten Kebumen, Central Java, Indonesia
Central Statistics Agency (BPS)
Statistical Processing Intern
July 1, 2024 – June 30, 2026
Kabupaten Kebumen, Central Java, Indonesia
Odoo-to-Accurate Data Migration
June 27, 2026 – Present
Planned and executed a full-scale business data migration from Odoo ERP to Accurate accounting software; covered data mapping, extraction, transformation, format normalization, and post-migration validation across all business entities.
Odoo Legacy-to-New Migration
June 27, 2026 – Present
Managed end-to-end migration of business processes, master data, transaction records, and system configurations from the legacy Odoo environment to the upgraded Odoo version, ensuring operational continuity.
Sales & Customer Behavior Dashboard
June 27, 2026 – Present
Developed a Looker Studio BI dashboard featuring customer segmentation, regional trend analysis, product performance breakdowns, and KPI summaries for management reporting.
Water Quality Classification
June 27, 2026 – Present
Built an XGBoost classification model achieving 98.3% accuracy on 14,000+ records; full pipeline from data cleaning to model evaluation. Findings submitted to a Scimago Q2 international journal.
SARIMA Demand Forecasting
June 27, 2026 – Present
Developed a Python-based time-series forecasting model for 13 public service types using 3 years of daily data; achieved MAPE ~21%. Applicable to business demand planning and inventory management.
Customer Database Management System
June 27, 2026 – Present
Designed a structured PostgreSQL relational database with complex SQL queries (joins, subqueries, aggregations, indexing) and full data cleaning and normalization procedures.
Service Center Dashboard (GSI)
January 1, 2026 – June 30, 2026
Built a multi-branch service center dashboard using Looker Studio to consolidate performance data across product brands and service categories. Enabled management to track branch-level KPIs and extract operational insights across diverse business units.
Data Science Competency (Associate Data Scientist)
National Professional Certification Authority (BSNP)
March 1, 2026 – Present
Data Scientist
Digital Skola Bootcamp
October 1, 2025 – January 31, 2026
English Proficiency: TOEFL Prediction 591
SEU Diponegoro University
October 1, 2025 – Present
Machine Learning Engineer
Dicoding / DBS Foundation Scholarship
February 1, 2025 – May 31, 2025
Cultural Fit Analysis
The candidate's diverse project portfolio, spanning professional internships and academic research, indicates adaptability and a broad interest in data-related challenges. Their involvement in academic and extracurricular organizations suggests a proactive and team-oriented mindset. The blend of business-focused dashboard development and data migration with academic machine learning projects shows a well-rounded profile that can adapt to various organizational needs. The target role of Data Analyst aligns well with their demonstrated skills in data visualization, ETL, and statistical analysis.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, detail-orientation, and cross-functional coordination, which are crucial for a Data Analyst role. Their experience as a Teaching Assistant and in coordinating with teams for data collection and reporting indicates good communication skills and a collaborative work attitude. The project descriptions highlight a results-oriented approach, focusing on delivering actionable insights and ensuring data integrity.