I am a final-year Computer Science student at Universitas Negeri Jakarta with hands-on experience at the intersection of data analysis, marketing strategy, and business operations. My focus is on turning campaign activity and customer behavior into measurable, decision-ready insight.
I have designed promotional campaigns that generated over Rp60B+ in deposit funding, built automated reporting systems that cut analysis time by ~70%, and managed large-scale influencer operations across 400+ KOLs. My technical toolkit spans Python, SQL, Google Sheets, and Google Apps Script, paired with applied knowledge of campaign management, user segmentation, and marketing funnel analysis.
I am currently seeking full-time opportunities as a Data Analyst or Marketing Analyst, with a particular interest in roles that pair quantitative analysis with marketing impact.
Analyst Business & Promo Intern
Data Analysis & Marketing Analytics
B.Sc. Computer Science (Final Year)
Designing promotional campaigns and reporting automation that translate marketing activity into measurable deposit growth.
Each project represents a real business challenge - from designing promo eligibility rules to measuring campaign ROI.
View all projectsRoughly 1 in 5 customers left the bank.
Random Forest performance reported in the project.
Notebook, Streamlit app, model artifacts, README, and training script are linked from the source repository.
Embedded KOL dashboard built in Looker Studio.
Every project starts with a clear business question. I map stakeholder needs to measurable outcomes before touching any tool.
Clean data architecture is non-negotiable. Query structures, eligibility rules, and dashboard schemas that scale.
Dashboards are not the deliverable - decisions are. Actionable recommendations with clear effect statements.
I'm currently looking for full-time opportunities in Data Analytics or Marketing Analytics. Let's connect.