Open to opportunities

Nur Hadi Budhy

@nurhadibudhy

I build data products, automated pipelines, and predictive models that improve business decisions and customer outcomes.

Indonesia

Message

At BukuWarung, I build event-driven alerting, ELT pipelines, and live merchant-volume dashboards for an SME financial super-app serving 150,000+ daily active merchants. My work reduced incident response time from hours to under 10 minutes and eliminated manual reporting cycles for business teams.

Previously, at Grouu.id, I used predictive churn models, customer segmentation, cohort analysis, and association rule mining to increase repeat purchases by 18%, improve marketing engagement by 12–18%, and grow cross-sell revenue by 25%.

As an independent Data & Automation Consultant, I've helped SME clients replace manual spreadsheets with automated BigQuery warehouses, Python ETL pipelines, and executive dashboards. I enjoy turning complex telemetry and business data into reliable systems that teams can act on in real time.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst

Current

BukuWarung

Oct 2024 - Present (1 year 10 months)

Reduced incident response time from hours to under 10 minutes by engineering an event-driven alerting system using n8n and REST APIs. Streamlined analytics infrastructure by orchestrating ELT pipelines with Stitch and Airflow into BigQuery.

N8n REST APIs ELT Stitch Airflow BigQuery SQL

Data & Automation Consultant

Independent

Mar 2023 - Oct 2024 (1 year 7 months)

Accelerated client survey analysis turnaround from 2 weeks to 2 days by engineering Python ETL pipelines. Migrated SME clients to automated cloud data warehouses using BigQuery and Star Schema models.

Python ETL BigQuery Star Schemas Tableau Campaign Tracking

Senior Business Intelligence Analyst

Grouu.id

Jul 2022 - Mar 2023 (8 months)

Increased repeat purchase rate by 18% by developing predictive churn models using scikit-learn. Improved marketing engagement by 12-18% through K-Means customer segmentation on 10M+ rows.

Python scikit learn K Means Customer Segmentation predictive modeling SQL

Business Intelligence Analyst

Grouu.id

Apr 2021 - Jun 2022 (1 year 2 months)

Increased average basket size by 8% and cross-sell revenue by 25% by implementing Apriori association rule mining. Shaped product roadmap through cohort analysis and built commercial dashboards.

APriori Association Rule Mining Cohort Analysis Dashboarding SQL Python