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Data Analyst with 4+ years in Data Analysis & Project Management
As an aspiring Data Analyst with hands-on project experience, I uphold integrity and accountability by employing an evidence-based approach to problem-solving, consistently citing reliable data sources and adhering to ethical data handling standards. To strengthen my analytical foundation, I completed a four-month intensive data-analytics bootcamp at RevoU, where I developed strong capabilities in statistical analysis, data visualization, and critical thinking while consistently delivering projects aligned with defined objectives and timelines. These experiences have equipped me with a solid technical foundation in Excel, Google Sheets, SQL, Python, Tableau, and Power BI to transform raw data into meaningful, decision-ready insights. Beyond analytics, my four years as a Project Manager have sharpened my stakeholder management and execution discipline, making me effective at delivering results in data focused roles. Excited to leverage my analytical expertise and project management background to contribute to a data-driven team focused on achieving meaningful impact and fostering continuous growth.
RevoU
Full-Stack Data Analytics · Data Analytics
August 1, 2025 – June 30, 2026
President University
Bachelor of Social Science · Social Science
August 1, 2019 – June 30, 2025
PT VIF
Business Development Intern
June 1, 2024 – September 1, 2024
Jakarta, Jakarta, Indonesia
Sagara Technology
Human Resource Intern
August 1, 2022 – October 1, 2022
Jakarta, Jakarta, Indonesia
CCC Ventures
Project Manager
September 1, 2021 – February 1, 2025
India
OCA Dashboard Performance for Multi Channel
May 1, 2026 – June 1, 2026
Analyzed 50,000 WhatsApp and 39,999 Email transactions to pinpoint cross-channel engagement imbalances and revenue contributions across the entire CPaaS infrastructure. Evaluated status metrics revealing a high volume of 3,915 Ring-No-Answer (RNA) occurrences out of 5,099 Call transactions to guide scheduling optimizations. Identified severe engagement decay in the Email channel where active user volumes plummeted from 4,536 in Week 1 to 247 by Week 14.
Optimize Loans Portfolio In RevoFin
April 1, 2026 – June 1, 2026
Analyzed 176,087 customers with 2.8 billion in outstanding loans to identify a 1.89% delinquency risk across the portfolio. Identified $13.47 million in overdue exposure within the 2017 cohort, prioritizing this segment for targeted debt collection intensity. Evaluated interest rate trends showing a decrease from 18.36% in 2012 to 12.82% by 2019 to improve credit quality. Mapped geographic concentration showing California as the primary hub with a 41% share of total borrower distribution.
Pakistan E-Commerce Cancellation Rate Analysis
October 1, 2025 – January 1, 2026
Cleaned large datasets, reduced dirty data by 30%, and produced a refined dataset of 548,000 valid orders for analysis. Analyzed historical order data to identify key cancellation drivers, utilized Excel and Python to diagnose root causes, and developed recommendations based on customer cluster segmentation. Applied K-Means clustering to segment customers based on behavioral metrics such as completion rate and net revenue. Developed an interactive Tableau dashboard that presented 10 key analytical metrics and translated complex data into clear, actionable visual insights.
SQL (Intermediate)
HackerRank
March 1, 2026 – Present
Mini Course Artificial Intelligent
RevoU
February 1, 2026 – Present
Full Stack Data Analytics
RevoU
February 1, 2026 – Present
Cultural Fit Analysis
The candidate's project experience, particularly the 'Pakistan E-Commerce Cancellation Rate Analysis' and 'Optimize Loans Portfolio In RevoFin', demonstrates a proactive approach to applying analytical skills to real-world business problems. Their diverse internship experiences (Business Development, HR) and Project Manager role indicate adaptability and a willingness to engage in various organizational functions. The pursuit of a 'Full-Stack Data Analytics' bootcamp and certifications shows a strong motivation for continuous learning and growth, aligning well with a dynamic, data-driven culture.
Soft Skills & Operational Fit
The candidate exhibits strong soft skills such as time management, priority management, data-driven mindset, collaboration, and leadership. Their experience as a Project Manager and in various internships suggests an ability to work in team environments and manage tasks effectively. The emphasis on integrity and accountability in their 'About Me' section indicates a good operational fit for roles requiring ethical data handling and evidence-based problem-solving.