Zachary Plischka
Box Hill,Australia
Summary
Motivated data science graduate student with a passion for sports analytics, seeking to contribute to Collingwood Football Club's decision-making through the Data and Analytics Internship. Currently pursuing a Master of Data Science at Monash University, with strong skills in data visualization, machine learning, and big data processing. Committed to upholding the club's values of Do Better, Fly Higher, A Nest For All, and Side By Side.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Data Scientist
Lightbulb Partners | Start-up
01.2024 - 10.2024
- Performed data cleansing and preparation for training large language models (LLMs), ensuring high-quality inputs
- Designed and implemented Retrieval Augmented Generation pipelines to enhance data accessibility and performance
- Engaged in prompt engineering to optimize model interactions and outputs
- Collaborated with cross-functional teams to identify data-driven solutions, demonstrating strong teamwork and communication skills
- Startup Company
NDIS Support Worker
Interchange Outer East
Melbourne, Australia
04.2021 - Current
- Company Overview: Melbourne, VIC
- Provided one-on-one support for participants with diverse disabilities
- Organized school-holiday camps, fostering inclusive environments
- Developed strong interpersonal skills and adaptability
- Melbourne, VIC
Education
Master of Data Science -
Monash University
Melbourne, VIC07.2025
Bachelor of Science - Immunology
Monash University
Melbourne, VIC01.2021
Skills
Data Visualization
- Python Programming
- R
- Tableau, Matplotlib, Seaborn
Machine Learning
- Scikit-learn
- TensorFlow
- PyTorch
- Deploying machine learning models
- LLM training
- Prompt engineering
Database Management
- Apache Spark
- Kafka
- SQL
- NoSQL
- Real-time analytic
Essentials
- Cleansing
- Feature engineering
- Jupyter Notebook
- Google Colab
- Docker
- Git
- GitHub
- Teamwork
- Problem-solving
- Communication
- Attention to detail
Certification
- Working with Children Check
- First Aid
Projects
AFL Win/Loss Predictor | (Personal Project) | In Progress
- Developed a predictive model to forecast AFL match outcomes using historical data and player performance metrics.
- Implemented machine learning models (logistic regression, random forest, gradient boosting) using scikit-learn.
- Achieved promising accuracy; analysed key factors influencing predictions.
NBA Injury Data Visualization | (University Project)
- Analysed NBA data to explore injury likelihood and impact on performance.
- Created interactive visualizations using Tableau and R Shiny.
- Presented findings, demonstrating strong communication skills.
Real-Time Fraud Detection Pipeline | (University Project)
- Send, receive and consume real-time data using Apache Kafka and Spark Streaming.
- Process streaming data and deploy pre-trained classification model using Apache Spark.
Hobbies and Interests
- Sports Analytics: Analyzing AFL and NBA data to gain insights into team performance
- Programming: Learning advanced data science techniques in Python and R
- AFL Enthusiast: Deep understanding of game mechanics and statistics
References
Available upon request
Timeline
Data Scientist
Lightbulb Partners | Start-up
01.2024 - 10.2024
NDIS Support Worker
Interchange Outer East
04.2021 - Current
Master of Data Science -
Monash University
Bachelor of Science - Immunology
Monash University
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