CV
Summary
Data analyst with proven experience in leveraging SQL, Python, and Power BI to transform large datasets into actionable insights that support strategic decision-making. Skilled in end-to-end data analysis and dashboard development, delivering solutions that enhanced business efficiency and supported key stakeholders. Recognized for problem-solving, adaptability, and the ability to manage multiple projects in fast-paced environments
Interest: Data Analyst, Data Scientist
Experiences
Growth Data at Astra Financial (October 2024 - Present)
- Performed in-depth data analysis using SQL, or PostgreSQL to uncover trends and insights, providing actionable recommendations for business development.
- Designed and implemented data visualizations in Power BI, enabling stakeholders to easily access and interpret critical business data.
- Created and presented reports delivering targeted insights into the business performance of FIFGROUP, TAF, AAB, AstraLife, Moxa Mart – PPOB, with strategic recommendations based on findings.
- Conducted market research and built Moxa x Competitor Benchmark Analysis Dashboard, proposing new price strategies and enabling stakeholders to monitor competitor trends and make timely pricing adjustments.
- Developed personalized product offerings for FIFASTRA, DANASTRA, MPF Car, and Garda Oto, achieving 67% conversion from unique leads to valid leads.
Growth Data Intern at Astra Financial (February 2023 - January 2024)
- Maintained data integration, data flow, data scheduling, data visualization, and data analysis to ensure seamless data operations.
- Day to day gathered and analyzed data using SQL, or PostgreSQL, providing actionable insights for various business needs.
- Utilized Microsoft Power BI and Google Looker Studio to design prototypes and create visualization dashboards, facilitating real-time data analysis and enabling informed decision-making by key stakeholders.
- Developed automated script to reduce team manual workload, and performed in-depth data analysis to forecast performance using Python, resulting in data-driven recommendations for strategic business decisions.
Laboratory Assistant at Multimedia Nusantara University (January 2022 - June 2022)
- Delivered weekly learning modules to understand the basic concepts and easily analyze topics in Probability and Statistics.
- Explained key statistical concepts, including descriptive statistics, hypothesis testing, and linear regression modeling using R Programming Language.
- Assisted over 35 students in solving problems and applying theoretical concepts through programming using RStudio.
- Analyzed and graded students’ weekly assignments, providing detailed feedback to monitor the students’ progress.
Education
Bachelor in Computer Science, Information Systems, Multimedia Nusantara University (August 2020 - July 2024)
- Relevant Coursework: Big Data Analytics, Data Modeling, Data Visualization, Database Systems, Data Analysis, Probability and Statistics
- GPA: 3.94/4.00
Organizational Experiences
Documentation Division Coordinator at Arunakara 2022 (April 2022 - September 2022)
- Coordinated all documentation activities required for the success of the event, including creating Instagram stories, Zoom Virtual Backgrounds, banners, member ID cards, lanyards, and twibbons.
- Assisted and supported the visual team in the creation and execution of design elements for the event.
- Delivered high-quality design solutions under extremely tight deadlines.
Documentation Division Member at Abisatya 2021 (May 2021 - August 2021)
- Successfully created and edited video documentation during the event.
- Designed Instagram story templates and twibbons for the event.
- Engaged in giving ideas to other members by discussing all designs.
Skills
Hard Skills
SQL, PostgreSQL, DBeaver, Google Big Query, Python, PowerBI, Google Looker Studio, Tableau
Soft Skills
Analytical Thinking, Problem-Solving, Detail Oriented, Curiosity, Adaptability, Responsibility, Teamwork