Dane Pamuspusan

Hi, I'm

Dane Pamuspusan

Graduate Data Analyst

Transforming raw datasets into actionable insights using Python, SQL, Power BI, and Excel.

View My Work Download Resume
Graduation Photo of Dane Pamuspusan
Python • SQL • Power BI • Machine Learning • Data Analysis • TensorFlow • PyTorch • Tableau • Excel • Data Preprocessing • Data Wrangling • Model Training • Computer Vision • Python • SQL • Power BI • Machine Learning • Data Analysis • TensorFlow • PyTorch • Tableau • Excel • Data Preprocessing • Data Wrangling • Model Training • Computer Vision
Stakeholder Communication • Team Collaboration • Self-Motivated Learning • Attention to Detail • Accuracy • Organised • Customer Service • Problem Solving • Critical Thinking • Stakeholder Communication • Team Collaboration • Self-Motivated Learning • Attention to Detail • Accuracy • Organised • Customer Service • Problem Solving • Critical Thinking

About Me

Your Photo

Hello! I'm Dane Pamuspusan, a Graduate Data Analyst with a strong foundation in data processing, visualisation, and machine learning. I'm experienced in transforming raw datasets into actionable insights and have a proven ability to communicate with stakeholders, optimise business processes, and drive data-driven decisions.

My academic background includes a Bachelor of Computing Science (First Class Honours) from the University of Technology, Sydney, with a major in Artificial Intelligence and Data Analytics. I've also completed the Google Data Analytics Certificate and the Akkodis Microsoft AI Intensive Bootcamp.

My Skills

Programming Languages

  • Python
  • SQL
  • HTML and CSS
  • JavaScript
  • jQuery
  • C++
  • Java

Tools & Software

  • Tableau
  • Microsoft (Power BI, Excel, Outlook, Word, PowerPoint)
  • Google (Docs, Sheets, Slides)
  • Microsoft Visual Studio Code
  • Anaconda
  • Jupyter Notebook
  • Decision Rules

Machine Learning/AI

  • Data Preprocessing
  • Data Wrangling
  • Model Training and Evaluation
  • NumPy
  • Pandas
  • PyTorch
  • TensorFlow
  • Keras
  • Scikit-learn

Soft Skills

  • Attention to Detail
  • Accuracy
  • Organised
  • Team Collaboration
  • Stakeholder Communication
  • Self-Motivated Learning
  • Customer Service

Work Experience

Data Analyst Intern - Swoop Funding Australia

December 2024 – March 2025

  • Collaborated with a team of 4 to clean and standardise 350+ product and customer financial document information across 1,000+ deals in internal system.
  • Liaised with 75+ lenders and aggregators to enhance data accuracy.
  • Boosted match results on the online marketplace from 4 to 40+ per customer journey via benchmark data improvements.
  • Delivered actionable insights to key stakeholders with Excel, Power BI, and Python.
  • Led in the creation of process documentation for data management processes on the Decision Rules Platform, developing user guides in Google Docs to aid in knowledge transfer and data consistency.

My Projects & Research

Completed Projects

Pothole Detection Project Thumbnail

Pothole Detection

Implemented object detection using Faster-RCNN in MATLAB for identifying potholes, demonstrating practical application of computer vision.

MATLAB Faster-RCNN Object Detection Computer Vision
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Renewable Energy Site Selection Research Thumbnail

Optimizing Renewable Energy Site Selection

Contribution to published research focusing on clustering algorithms and energy potential analysis for renewable energy site selection in rural Australia.

Clustering Algorithms Energy Potential Analysis Research Data Analytics
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Vehicle Detection Thesis Thumbnail

Honours Thesis: Vehicle Detection

Used YOLOv8n and ByteTrack to detect and track vehicles via Python, a key component of my First Class Honours research.

Python YOLOv8n ByteTrack Computer Vision Deep Learning
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Ongoing Projects

Ongoing Project Thumbnail

Data Dashboard for Business Insights

Developing an interactive Power BI dashboard to visualize sales performance and customer trends for a local retail business. Currently integrating multiple data sources.

Power BI Excel SQL Data Modeling
In Progress

Upcoming Projects

Upcoming Project Thumbnail

Predictive Analytics for Customer Churn

Planning to build a machine learning model to predict customer churn for a subscription service, aiming to identify at-risk customers and improve retention strategies.

Python Scikit-learn Predictive Modeling Customer Analytics
Planning Phase

Want to see more of my work? Check out my full LinkedIn profile!

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Get in Touch

I'm always open to new opportunities, collaborations, and discussions. Feel free to reach out!

Email: danepamus@gmail.com

Phone: +61 419 315 793