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Dwi Budi SetyonugrohoDS
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Dwi Budi Setyonugroho

@dwibudisetyonugroho

Certified Data Analyst (DataCamp). Building SQL, Python & Power BI pipelines and KPI dashboards to drive data-informed business decisions.

Indonesia
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What I'm looking for

I'm looking for a data-focused role where I can use SQL, Python, and BI tools to turn complex data into clear business insights, improve decisions, and continue growing across analytics, visualization, and statistical modeling.

I am a Certified Data Analyst with proctored credentials from DataCamp (Data Analyst Associate & SQL Associate) and specialized Professional Certificates from Google, Microsoft, and IBM. I specialize in bridging the gap between technical data pipelines and commercial decision-making, using SQL, Python, BigQuery, and Power BI to uncover growth levers and streamline reporting.

Throughout my analytics work, I have delivered end-to-end business intelligence solutions across enterprise datasets. My experience includes processing 670k+ transaction records in Google BigQuery for Kimia Farma to evaluate provincial profitability, designing revenue optimization dashboards for Bank Muamalat, and developing credit risk classification models for ID/X Partners using Python (Scikit-Learn) and Power BI. Additionally, I have engineered full-cycle SQL analytics pipelines analyzing B2B sales velocity and B2C customer cohort retention.

My core technical toolkit centers on SQL (PostgreSQL, BigQuery, T-SQL), Python (Pandas, Scikit-Learn), Power BI (DAX, Star Schema modeling), Looker Studio, and advanced Excel.

I am passionate about product analytics, customer retention modeling, and automating recurring reporting workflows. As a remote professional, I prioritize proactive asynchronous communication, meticulous documentation, and delivering clean, reproducible data workflows.

Experience

Work history, roles, and key accomplishments

BI

Business Intelligence Analyst

Bank Muamalat (Virtual Internship)

Dec 2025 - Dec 2025 (0 months)

Engineered an end-to-end BigQuery pipeline and Looker Studio dashboard to resolve fragmented sales data for PT Sejahtera Bersama. Analyzed 11,654 units across 7 categories to uncover a critical volume-vs-value pattern, revealing Robots drove 44.3% of total revenue (IDR 175.5M) and identifying high-margin cross-sell bundling opportunities.

II

Data Scientist

ID/X Partners (Virtual Internship)

Nov 2025 - Dec 2025 (1 month)

Built an end-to-end credit risk modeling pipeline on a 466k-record lending dataset. Handled extreme class imbalance using balanced logistic regression, increasing default recall from 8% to 66% and boosting F1-score by 220% (0.14 to 0.45). Delivered an interactive Power BI risk dashboard to support data-driven loan approvals.

KI

Big Data Analyst

Kimia Farma (Virtual Internship)

Oct 2025 - Nov 2025 (1 month)

Engineered a BigQuery ELT pipeline processing 672k+ pharmaceutical transaction records across 31 provinces (2020–2023). Implemented tiered margin logic to analyze IDR 98.54B in net profit, identified a 29.5% geographic revenue concentration in Jawa Barat, and built Looker Studio dashboards resolving a 0.4-point customer satisfaction gap.

Education

Degrees, certifications, and relevant coursework

IY

Institut Sains & Teknologi AKPRIND Yogyakarta

Bachelor of Engineering, Geological Engineering

2014 - 2021

Grade: 3.34/4.00

Activities and societies: • Staff HRD & Media Publication — MGEI SC (Organized technical workshops, seminars & digital publications). • Staff Human Resource Development — KOPMA SC (Member training & talent development). • Active Member — HMTG SC (Geological Engineering Student Association). • Active Member — English Community SC (Professional English communication & presentation).

Graduated with a 3.34/4.00 GPA. Built a strong foundation in quantitative analysis, research methodology, and statistical modeling. Coursework: Geostatistics, Mathematics, Physics, and Quality Management. Completed an engineering thesis on quantitative risk assessment and spatial modeling, developing analytical rigor and structured problem-solving skills applied to modern data analytics.

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