Help & Supportcareers@gravityer.com
Data Analyst with 1+ years in Data Cleaning & Visualization
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A graduate in Meteorology (Applied Statistics) from Bandung Institute of Technology (ITB) with a strong passion for data analysis. Possesses hands-on experience in data collection, processing, analysis, and visualization through academic projects, a role as Data Analysis Practicum Assistant, online courses, and independent learning projects. Skilled in Python, Excel, SQL, Power BI, and Tableau, with proven ability to process and analyze data efficiently. Supported by analytical thinking, problem-solving skills, and attention to detail, thus able to contribute to providing insights for data-driven decision-making aligned with a career in data analytics.
Bandung Institute of Technology (ITB)
Bachelor of Science in Meteorology (Applied Statistics) · Meteorology (Applied Statistics)
August 1, 2020 – June 30, 2024
Indonesian Agency for Meteorology, Climatology, and Geophysics (BMKG)
Intern
June 1, 2023 – June 1, 2023
Yogyakarta, Special Region of Yogyakarta, Indonesia
Bandung Institute of Technology (ITB)
Data Analysis Practicum Assistant
January 1, 2023 – July 1, 2024
Bandung, West Java, Indonesia
Bank Customer Churn Analysis
July 1, 2025 – July 1, 2025
Performed data cleaning and exploratory data analysis (EDA) to understand the characteristics of customers churn. Built a predictive model, followed by model evaluation, a performance stability check on test data, and SHAP-based interpretation to identify the key drivers of churn. Developed an interactive dashboard for business decision-making. Identified top churn drivers: Age, Number of Products, Activity Status, Geography (Germany), and Balance. Customers who were older, inactive, had fewer products, high balances, and were based in Germany showed higher churn risk.
Pizza Sales Performance Analysis
June 1, 2025 – June 1, 2025
Performed data cleaning and exploratory data analysis (EDA) on pizza sales data to analyze overall sales, product performance, and trends in customer behavior over time. Created an interactive dashboard for monitoring and presenting sales performance. Generated $817,860 from 49,574 pizzas (21,350 orders). Classic Deluxe was the top-selling pizza, while Thai Chicken Pizza led in revenue. Most customers preferred Classic category and size L. Orders peaked on Fridays and lunchtime (12:00~13:00).
Mini Bootcamp Data Analytics
DQLab
January 1, 2024 – January 1, 2026
SQL for Data Analysis
DQLab
January 1, 2023 – January 1, 2025
Intro to Data Analytics
RevoU
September 1, 2022 – September 1, 2024
Cultural Fit Analysis
The candidate's project diversity (customer churn, pizza sales) and involvement in student organizations (Treasurer, Staff of Research and Creation Division) suggest a proactive and collaborative individual. Their academic background in Applied Statistics aligns well with the analytical demands of a Data Analyst role. The breadth of tools and techniques used indicates a willingness to learn and adapt, which is positive for cultural fit in a dynamic environment.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving skills, attention to detail, teamwork, time management, and adaptability, which are crucial for a Data Analyst role. Their experience as a practicum assistant also suggests good communication and instructional abilities. The project work shows an ability to translate data into actionable business insights.