↳ Data Analyst · Jakarta, Indonesia
Data is only as valuable as the decisions it drives. I turn raw, messy data into something clear, reliable, and worth reading.
// about me
I'm a data analyst based in Jakarta who works best when data has a real job to do — not just sitting in a dashboard, but actually informing a decision.
My background spans operational analytics, reporting automation, and a bit of machine learning, built through a year of real-world experience and a strong academic foundation in Information Systems. I'm comfortable across the full analyst workflow: from wrangling raw data and building pipelines, to designing reports that stakeholders can read without a manual.
The problems I enjoy solving aren't industry-specific — I'm drawn to any situation where better data visibility leads to better outcomes, and I bring the same structured, detail-oriented approach regardless of the domain.
// career
Built and maintained SLA reports, automated workforce data pipelines, and monitored real-time queue performance across 10 content moderation queues. Delivered 2 Apps Script automations with 0% error rate, maintained ~80-85% SLA achievement rate across all queues during high-volume periods for a full year.
Ad campaign analytics, merchant data pipelines, Amplitude Analytics setup, and Python Selenium scraping projects for WiFi merchant pricing trend analysis.
Built and launched Eventhings — an event needs listing platform for event organizers — from concept to market. Managed a cross-functional team across development, design, and marketing. Onboarded 10+ initial vendors, established key partnerships, and oversaw budgeting, financial planning, and strategic decision-making.
Selected for the Bangkit Incubation Program to develop Eventhings from concept to MVP using ML, Cloud, and Android technologies. Built a content-based recommendation system for event organizers, managed data pipelines for analytics, and led all data-related activities for product decisions.
Completed Bangkit Academy's ML track with a GPA of 95.47/100 and recognized as one of the 1,000 Most Active Students. Covered specializations including Google Data Analytics, ML Specialization, TensorFlow Developer, Math for ML, and DeepLearning.AI certifications.
ETL pipeline development and Data Warehouse design for client analytics projects.
Weekly Looker Studio dashboard for RRI Digital Broadcast Network project, technical proposals for AI/Streaming solutions, daily project recap reporting.
// recognition
Selected into the Top 10 out of all Bangkit 2023 H2 capstone teams for the product-based track. The capstone required students to build a working product solving real Indonesian challenges using ML, Cloud, and Android — judged on innovation, technical execution, and impact potential.
Awarded 3rd place at IDEATHON, an annual creative idea competition organized by BEM Fasilkom UPN Veteran Jawa Timur as part of Fasilkom Fest. The competition challenged participants to propose innovative IT solutions across any domain — Android, web, IoT, Cloud, and more — with finals judged via live presentation.
// selected work
Built two Google Apps Script automations for the SUB-RTA team at Gear Inc — one for attendance reporting, one for login hours reporting. Each runs on a daily trigger at 07:05 WIB, downloads ByteWorks workforce data, parses the CSV with header-row skipping, filters relevant columns, and accumulates records indefinitely into a centralized Google Sheet. Replaced a manual process that previously took ~15 minutes per report.
Interval-level (15-minute) SLA failure analysis across 10 content moderation queues. Identified recurring root causes — cascading backlogs, AHT violations, OU deficits, content pool reductions — and delivered moderator-level performance scorecards at daily, weekly, and monthly granularity.
Built a weekly performance dashboard in Looker Studio for a Digital Broadcast Network Services project at RRI (Radio Republik Indonesia), covering project data from input and cleaning through to visualization. Also produced daily project escort status recaps for project leads.
Designed and integrated an ML-based recommendation engine for an event listing platform. Built to match event organizers and attendees based on content preferences and behavioral signals, improving relevance of listings surfaced to users.
Tracked digital advertising metrics (CTR, impressions, completed views) for FMCG brands. Built data pipelines for merchant performance reporting, implemented Amplitude Analytics for session tracking, and ran Python Selenium scraping projects to map WiFi merchant pricing trends.
// toolkit
// community & leadership
Organized cloud technology workshops and events including DevFest Cloud Surabaya 2024 and #JuaraGCP Season 10 — serving as Master of Ceremony for both. Also represented GDG Cloud Surabaya at the GDG Southeast Asia Summit 2024. As Co-Organizer of Women Techmakers, served as PIC for International Women's Day Surabaya 2024, coordinating speakers, sponsors, and attendees to promote women in tech across the community.
Developed Machine Learning curriculum and mentored members through the GDSC ML StudyJam Series (Dec 2023 – Jan 2024). Recognized as a Core Team Member for the 2023–2024 class with a Certificate of Appreciation from Google Developer Student Clubs.
Served as Minister Secretary of the Student Executive Board at UPN Veteran Jawa Timur, managing administrative coordination and supporting organizational decision-making at the university level.
Managed administrative and organizational duties as Secretary of the student council at SMAN 20 Surabaya across three academic years.
Open to Data Analyst roles — full-time, hybrid, or remote.
Based in Jakarta, open to relocation.