tengkumuazabs

Tengku Muaz Abdussalam

Yogyakarta, Indonesia
tengkumuaz.abs@gmail.com | linkedin.com/in/tengku-muaz-abdussalam | github.com/tengkumuazabs

Summary

Data Analyst with experiences in Python, SQL, Microsoft Power BI, and Microsoft Excel, specializing in data visualization, predictive modeling, and time series analysis. Proven ability to design interactive dashboards that enhance reporting and support strategic decision-making. Skilled in a range of data science and machine learning techniques, with a strong portfolio of real-world projects.

Experience

Data Analyst | Universitas Islam Indonesia
November 2023 – Present

• Led the implementation of Microsoft Power BI to revolutionize data visualization in the marketing department, driving more informed decision-making and uncovering actionable insights.
• Designed and launched interactive Power BI dashboards to track essential metrics such as student registrations, acceptance rates, and school visits, providing leadership with clear, interactive visuals to guide strategic planning and improve performance.
• Automated reporting processes, significantly reducing manual tasks and enhancing the accuracy and efficiency of data reporting.
• Performed time series analysis on student registration data to identify trends and seasonality, enabling the university to make data-driven forecasts and optimize recruitment strategies.

Technical Skills

• Programming Languages: Python (Pandas, NumPy, Matplotlib, Seaborn, Plotly, scikit-learn, Streamlit. FastAPI, TensorFlow, OpenCV), SQL
• Analytical Tools: Microsoft Power BI, Microsoft Excel
• Containerization & Deployment: Docker

Projects

• Spatial Analysis on COVID-19 (Live App | GitHub Repo)
  A Streamlit app that visualizes global COVID-19 data through interactive maps, time-series charts, and summary statistics by country.

• Airline Ticket Price Prediction (Live App | GitHub Repo)
  A FastAPI web app that predicts airline ticket prices using a trained Random Forest model, with a clean input form and Dockerized deployment.

• Indonesian NIK Extractor (Live App | GitHub Repo)
  An OCR-based Streamlit app that extracts NIK numbers from KTP images using DocTR. Supports image upload or URL input with error correction.

• IDR Currency Classifier (Live App | GitHub Repo)
  A Streamlit app using TensorFlow and MobileNetV2 to classify Indonesian Rupiah banknotes from uploaded images with confidence scores.

Education

• Bachelor of Computer Science | Universitas Islam Indonesia
  September 2016 – April 2020