I'm Yasi Mo
I am an Australia-based Data Analyst specialising in data visualisation, data analytics, and machine learning.
I am an Australia-based Data Analyst specialising in data visualisation, data analytics, and machine learning.
My mission is to harness the power of data and artificial intelligence to develop solutions that create positive impacts for individuals, communities, and the environment.
By promoting the responsible use of AI and data, I aim to bridge the gap between technology and its real-world applications, contributing to a future where innovation serves the greater good of society and the planet.
When I'm not working on data projects, I love spending time with animals, especially horses. Their grace and strength inspire me, and my passion for show jumping allows me to connect with them on a deeper level. Whether riding or simply being in their presence, horses bring me joy, calm, and a sense of connection to nature, reminding me of the value of trust and dedication.
Discover how I developed an AI literacy course at UTS..
Learn about my role as a Data Analyst Intern at CHIA NSW.
This Tableau dashboard visualises 2016-2023 KoalaBASE data on endangered species, koala death trends, causes, high-risk roads, and top rescue locations in South East Queensland for conservation insights.
Tech Stack: Tableau
Machine learning is used in this Kaggle competition to analyse a basketball player selection dataset, and a model is aimed to be created to predict which players will be chosen.
Tech Stack: Python, Tableau
Examining how YouTube ranks trending videos based on user interactions like views, shares, comments, and likes.
Tech Stack: Microsoft Azure, Snowflake, Python, Tableau
Big data and machine learning are used to analyse New York City taxi trip records to predict travel outcomes such as trip duration and fare.
Tech Stack: Azure,PySpark, SQL, databricks
Machine learning models are utilised by this service to provide estimates for airfares within the USA, based on user-provided trip details.
Tech Stack: Python, Streamlit
Data pipelines are built using Airflow to process and analyse Airbnb rental data from Sydney, providing insights into rental trends and patterns.
Tech Stack: Python, DBT, DBeaver, Airflow, Google Cloud
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