
Data Enthusiast
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Assessing your cultural and operational fit
Data Analyst with a Statistics background and proven experience in analyzing large-scale operational data (100,000+ records) to generate actionable insights. Skilled in identifying trends, improving reporting accuracy, and supporting business decision-making through data-driven analysis. Proficient in Excel and data visualization, with working knowledge of SQL, Python, R, Google Data Studio, Tableau, and Power BI
Institut Teknologi Sepuluh Nopember (ITS) Surabaya
Bachelor of Statistics · Statistics
August 1, 2017 – September 30, 2021
PT. Astra Graphia Information Technology
Data Analyst
March 5, 2023 – February 27, 2026
Jakarta, Jakarta, Indonesia
PT. Surabaya Industrial Estate Rungkut
Data Analyst
August 1, 2020 – September 1, 2020
Surabaya, East Java, Indonesia
LLM-Based Tools and Gemini API Integration for Data Scientists
Hacktiv8 Indonesia
October 29, 2025 – Present
Data Science Fundamentals
DQLab
July 25, 2024 – Present
Bootcamp Data Science
Digital Skola
January 15, 2023 – Present
Data Analytics
FGA Digital Talent Scholarship Kominfo RI
November 27, 2022 – Present
Cultural Fit Analysis
The candidate has experience in both a large IT company (PT. Astra Graphia Information Technology) and an industrial estate, indicating adaptability to different organizational contexts. The range of certifications and continuous learning initiatives (LLM-Based Tools, Data Science Bootcamps) suggests a proactive and growth-oriented mindset, which aligns well with a dynamic work culture. The projects mentioned in certifications (chatbot prototype) show initiative beyond core data analysis tasks.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration with cross-functional teams, suggesting an ability to work effectively in a team environment. The experience in generating insights and reports indicates a focus on supporting operational decision-making. However, specific soft skills like problem-solving approach, adaptability, or leadership are not explicitly detailed.