Naim Azizi
Data Analyst (Financial Service)
Tangerang, Banten, Indonesia
Summary
👤
Senior🎓
Top SchoolNaim Azizi is a data analyst with nine years’ experience translating large, messy datasets into business impact across financial services and telecom. He has built and deployed production ML models and data pipelines—most recently creating a credit risk score at Traveloka that raised approval rates by ~10% while keeping risk metrics stable. His background spans end-to-end engineering: data mart and ETL design on BigQuery, Hive, Spark and real-time Kafka pipelines, plus credit modelling and ECL provisioning. Comfortable leading small teams, he bridges data science and engineering to operationalize proofs-of-concept into company OKRs. Trained in engineering physics from UGM, he combines a curiosity for cutting-edge tools with a pragmatic focus on measurable outcomes.
9 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Engineering Physics/Applied Physics, Bachelor's degree, Engineering Physics/Applied Physics at Universitas Gadjah Mada (UGM)
English, Indonesian
Github Skills (17)
skeleton-code7
asyncpg5
color-scheme4
vim3
fastapi3
neovim3
backend2
java-programming2
luigi1
apache-spark1
spark1
mysql1
relational-databases1
uvicorn1
hive-table1
Programming languages (2)
Github contributions (5)
naimazizi/dotconfig
Jun 2024 - Jul 2026
Contributions:361 pushes, 3 branches, 1 tag in 2 years
naimazizi/fastapi-skeleton-code
Feb 2020 - Jan 2021
skeleton code of fastapi + asyncpg + uvicorn
Contributions:1 release, 15 commits, 16 PRs in 10 months
asyncpgfastapiskeleton-codeuvicorn
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