About
With a background in Applied Statistics and Computing,
I specialize in transforming complex data into clear, actionable insights through analysis and visualization. Experienced across business, and health domains, I leverage tools such as Excel,
Power BI, SQL, Python, SPSS, and machine learning to drive evidence based decisions and deliver impactful, accessible data solutions.
Hello, I’m Ilham Akbar 👋
A Data Analyst and Visualization Specialist
focused on data analysis, interactive visualizations, and delivering insightful stories to support informed decision making
Education
UNIVERSITY OF STATE SEMARANG
2022-2025
MYSKILL
2025
Applied Statistics and Computing
3.5 / 4
Associate Degree in Applied Statistics and Computing, Specialized in data analysis and visualize, statistical modeling, and machine learning, with a final project on static and dynamic panel regression (SYS-GMM) analyzing healthcare impacts on under-five mortality.
Fullstack Data Analyst Bootcamp
Data Analytics Bootcamp with hands-on training in Mic Excel, SQL, Python, and data visualization tools.
Worked on mini tasks, case studies, and a final capstone project involving end to end data analysis from database querying and data cleaning to visualization and interactive dashboards. Gained practical experience in building portfolio.
Experience
Data Analyst Intern
(SDK Division)
90 / 100
SEMARANG CITY HEALTH DEPARTMENT
2024
Semarang City Health Office,
Health Resources (SDK) Division (Jul–Sep 2024).
Contributed to the Analyst Unit by conducting data preprocessing, exploration, and advanced analysis (spatial, regression, classification) to support evidence-based decision-making in public health.
Delivered insights through visualization, including projects on user sentiment and satisfaction analysis for a health app, and disease distribution mapping in Semarang City.
Several findings were further developed into papers and journal articles.
Tools & Certifications
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Project
This section showcases a variety of projects ranging from data analysis and visualization to interactive dashboards. Each project reflects a hands on approach in transforming raw data into meaningful insights, whether through SQL queries, machine learning models, or business intelligence tools. Most of these works are published on GitHub, highlighting both technical skills and the ability to communicate results effectively through clear visualizations and dashboards.
