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Huzaifi Hafizhahullah

Data Analyst | Ops & Finance Analytics + Automation | Turning messy operations into decision-ready metrics | SSOT, Data Quality, Dashboards | Google Sheets/Apps Script • SQL • Python • Looker Studio

Based in Depok, Indonesia

About

I’m a Data Analyst who turns messy operations and complex datasets into decision-ready signals, so teams can move faster, with less guesswork and fewer reconciliation loops. In my current role at Cetta Online Class, I engineered an integrated revenue management system in Google Sheets that reduced discrepancies (~45% → near 0%) and cut monthly reconciliation from 5 days to 1 day. I also automated payroll & attendance workflows (50–80% less manual workload) and built dashboards to track ROAS, CAC, retention, and operational capacity (student–tutor ratio, tutor utilization)

Skills

Projects

Experience

2022 - 2023

Data Analyst Internship at Bank Rakyat Indonesia

- Created weekly excel based report for retail merchant payment. Created design graphics for sales promotion of merchant acquisition. Input and analyze credit card application data

2022

Researcher Assistant at Badan Riset dan Inovasi Nasional

Developed machine learning model (e.g. LSTM, Transformer, hybrid model) for remaining useful life of Li-ion battery prediction.

2024-2025

Data Analyst at Rumah Kepemimpinan

• Established the organization’s first data infrastructure as the founding data team member; designed and deployed a Single Source of Truth (SSOT) for donor and transaction data. • Achieved near 0% data discrepancy (down from ~60%) by standardizing data validation processes for donation packages and transactions, ensuring accurate financial reporting. • Drove a 12% quarterly growth in average donation value by executing a donor segmentation strategy (based on frequency & monetary value) to optimize donation package offerings. • Streamlined donor relationship management by engineering an automated Google Sheets tracking system to monitor donation commitments versus realization (fulfillment rates).

2024-present

Data Analyst at Cetta Online Class

• Eliminated financial data discrepancies from ~45% to near 0% by engineering an integrated revenue management system in Google Sheets, reducing the monthly reconciliation cycle from 5 days to 1 day (80% time efficiency). • Spearheaded the automation of operational workflows (payroll & attendance) using advanced spreadsheet automation, resulting in a 50-80% reduction in manual workload and a 75% increase in business process efficiency. • Optimized marketing budget allocation and strategy by developing a comprehensive performance dashboard in Looker Studio; enabled real-time tracking of ROAS, CAC, and Student Retention Rate through EDA. • Improved resource allocation and capacity planning by deploying operational monitoring dashboards to track critical metrics such as Student-to-Tutor ratio

Education

2019 - 2023

Physics at State University of Jakarta

Thesis: "Hybrid Deep Learning Based Speech Command Recognition with Power-Law Based Feature Extraction Method"