About Me

Data analyst with over 4 years of experience transforming data into insights for decision-making to improve product quality, service delivery, and customer satisfaction metrics. Commit to an analytical course to develop programming skills in SQL, R, and Python, focusing on advanced data manipulation, analysis, predictive modeling, and creating visualization with interactive dashboards.

My Education



Bachelor of Science in Physics
September 2013 - October 2017
Dynamics Massive Gravity Model in de-Sitter Universe with Modified Perfect Fluid Stress-Energy Tensor

My Experience


Data Analyst

May 2020 - Present

  • Created an automated system to classify the top 5% of high-revenue users for priority service, reduced churn rate by 25%, and increased virtual product revenue by 9%.
  • Collaborated with cross-functional teams (Product and Support) to implement automation and admin call features in the marketplace return process, reducing required interactions for resolution by 60%.
  • Worked with the business and AI teams to develop a chatbot for automating phone number change requests in the Mitra Bukalapak apps, achieving a 46% resolution rate.
  • Optimized data models and query logic for faster retrieval and greater accuracy in migrating 141 reports, reducing project completion time by 20%.
  • Designed ERD schemas, ETL workflows, and interactive dashboards using Tableau to identify growth opportunities at PT Buka Tumbuh Berbagi (BTB), resulting in a 30% increase in data-driven decision-making.
  • Optimized platform emails, in-app messaging, and outbound calls with campaign vouchers to meet sample size targets, increasing user participation in product and service evaluations by 10%.
  • Developed data-driven solutions to support strategic decision-making, primarily analyzing customer behavior to enhance satisfaction across products and services.

Operation Delivery Monitoring

August 2018 - May 2020

  • Execution of 3000 transactions pending over 5–9 days and ensuring 97% of transactions were solved.
  • Used SQL to collect transaction data, speeding up follow-ups with delivery partners on issues by 80% over manual entry.
  • Provide weekly and monthly reports for evaluation and feedback to delivery partners, providing data-driven insights to enhance transaction processes.

My Skills

Statistic

Data Exploration (EDA), Hypothesis Testing (Anova, Chi Square, T-test, Z-test), Cohort Analysis, Correlation
Machine Learning, Critical Thinking and Analysis

Programming Languages

Python (Pandas, NumPy, Matplotlib, SciPy, Scikit-Learn)
R (tidyverse, ggplot2)
SQL (DDL, DML, CTEs, Window Functions)

Databases

Google BigQuery
PostgreSQL
MySQL

BI & Visualization Tools

Redash, Metabase
Looker, looker Studio
Tableau

Other

Confluence, JIRA, Github, Airflow
Data Pipeline, Excel/Spreadsheet
Business Strategies, Complex Problem-Solving