Curriculum Vitae
Nofrani Anastasya Mayasari Repi
Nofrani is a Mathematics graduate with a solid foundation in data analytics and statistics. Skilled in Python, R, SQL, Excel, Looker Studio, and Power BI, with experience in data processing, visualization, statistical analysis, and forecasting. Passionate about driving business growth through data-driven insights and currently seeking internship opportunities in Data Analysis or Business Intelligence.
Mei 2025
Universitas Sam Ratulangi
S1 • Matematika • IPK 3.94
Januari 2024 - Januari 2025
Regional Economics Analysis and Advisory Intern
Directorate General of Treasury (DJPb) North Sulawesi Province • Magang
● Analyzed economic indicators data, identified trends, and delivered actionable insights for 4 strategic publications.
● Developed a comprehensive food security policy analysis and delivered 3 data-driven recommendations published in the 2024 Regional Fiscal Study.
● Collected, cleaned, and pre-processed 13,497 data using Microsoft Excel, ensuring data accuracy for further analysis.
Desember 2023 - Januari 2024
Statistical Analyst Intern
BPS-Statistics North Sulawesi Province • Magang
● Led a team of 10 in the end-to-end execution of the Urban Village Statistical Profile project, delivering a 132-page statistical profile used by the local government for regional planning and development.
● Performed data pre-processing, analysis, and visualization on 3,400 residents' data using Microsoft Excel to extract insights.
● Applied statistical method using SAS to analyze migration drivers, achieving a model with 99.97% explanatory power.
● Represented BPS in presenting the Urban Village Statistical Profile scope and data requirements to local government.
● Delivered insights and presentation of the final profile to internal stakeholders and the Head of BPS North Sulawesi.
Juli 2023 - Agustus 2023
Big Data Analyst Intern
PT Kimia Farma Tbk • Magang
● Designed and implemented SQL queries in PostgreSQL to build a sales data mart by transforming raw data into base and aggregate tables, enabling efficient analysis and reporting.
● Analyzed sales data to identify key trends and growth opportunities, providing actionable recommendations to drive strategic decisions about inventory prioritization for Salicyl products.
● Developed an interactive dashboard using Power BI to track sales performance across products, branches, customer segments, and time periods.
Agustus 2025
Data Analytics (Fresh Graduate Academy)
Kementerian Komunikasi dan Digital • 19510544840-440/FGA/BLSDM.Komdigi/2025
Completed a Data Analytics course covering the Data Analyst role, data and statistics fundamentals, Python (pandas, matplotlib) and SQL, interactive learning through hands-on practice, data visualization, and a real-world retail data analysis project to generate business insights.