Bridging data → decisions.
A data practice shaped around evidence, not noise.
Muhamad Bintang RamadhanData &Business Analyst
Statistics graduate turned data professional. I transform raw data into strategic insights that drive real business decisions. Skilled in Python, SQL, Tableau, and Looker Studio, I bridge the gap between complex datasets and clear, actionable outcomes.
Focus
Evidence -> outcome
Tools
Python . SQL . Tableau
Base
Statistics, UNS




Turning raw numbers into decisions that stick.
I am a passionate Statistics graduate with a strong drive to transform complex data into meaningful insights that empower smarter decision-making. With solid experience in Python, SQL, and Excel for data wrangling and database management, I have also built compelling data visualizations using Google Looker Studio and Tableau to tell stories that numbers alone cannot.
In addition, I am proficient in Minitab, SPSS, and RStudio, giving me a versatile analytical toolkit. My organizational leadership during university has sharpened my ability to collaborate effectively, adapt quickly, and communicate with clarity, whether working in a team or independently.
With an insatiable curiosity and commitment to continuous learning, I am eager to grow as a data analyst and contribute impactful solutions that make a real difference.
Quick facts
- Education
- Universitas Sebelas Maret - Statistics Graduate
- Specialization
- Data & Business Analysis
- Focus
- Python · SQL · Tableau · Looker Studio
Work rooted in operational data.
Case work: from query to shipped.

InsCure Skin Disease Detection
A web-based Capstone project developed for Bangkit Academy, leveraging machine learning models to classify and detect skin diseases.

Retail Transaction Dashboard
Interactive sales transaction dashboard built with Google Looker Studio for real-time business monitoring and data-driven decision-making.

London Bikes Moving Average Dashboard
Interactive Tableau dashboard analyzing over 3.1 million bike rides in London with dynamic moving average visualization.

Bintang Laundry Landing Page
A premium, high-performance landing page built as a real-world case study for a family-owned business rather than a mere practice exercise.

NBA Compare Stats & Accolades Showcase
A modern head-to-head NBA player comparison web application utilizing a local proxy to fetch live stats directly from the official NBA API.

ULAS Report in Q3 2024
A comprehensive data analysis and official report compilation evaluating 1,800+ citizen complaints across Surakarta city services.

Headless Antigravity WhatsApp AI Agent
An autonomous AI coding assistant running locally and controlled via WhatsApp chat, integrating n8n automation and Gemini API.

Sequis Customer Density & Macroeconomic Analysis
A replica of the customer data pipeline and analysis built during my internship at Sequis Life, handling macroeconomic data collection, fuzzy data matching for 140,000+ customer records, and spatial density mapping in Jabodetabek.

Bilingual Insurance RAG System
A Retrieval-Augmented Generation (RAG) system built from scratch in Python to query English insurance policy documents in Indonesian.
Toolkit oriented to readable analysis.
Technical
9Day-to-day analyst toolkit
Professional
3How I work with teams
Credentials
1Structured learning
Recognition & proof of work.
EF SET English Certificate — C2 Proficient (75/100)
Scored 75/100 on the EF Standard English Test (EF SET), achieving C2 Proficient level in Reading and Listening — the highest tier on the CEFR scale, demonstrating mastery-level English comprehension.
Bangkit Academy 2024 Machine Learning Cohort
Selected among thousands of applicants for Google-supported Bangkit Academy 2024, completing 900+ hours of intensive Machine Learning training covering TensorFlow, model deployment, and end-to-end ML pipelines.
Official Diskominfo Surakarta Report Book (2024)
Recognized as a contributor to the official Diskominfo Surakarta Report Book 2024 for citizen complaint analysis work, transforming public feedback data into actionable policy insights.
Let's make
data useful.
Open to data analyst, business analyst, and insight ops roles. Fastest via email. I reply within a day.