Catapult BI consultants engaged with Melbourne Water, and
utilised machine learning techniques to predict the pond turbidity level, which could further lead to possible shortages of Class A water.

“Population growth and climate change have accelerated since
the Millennium Drought in the early 2000s, creating a new normal for our water supply.”- quotes Melbourne Water.

Various factors involved include wind, temperature, and ph. balance, etc. Catapult BI consultant created an end-to-end machine learning pipeline by using multiple AWS services including Sage Maker and S3 Bucket, Lambda, and CloudWatch.

Major tasks of the project involve:

• Data cleaning and transformation

• Data exploration to investigate quality issues and correlations within the dataset

• Feature engineering to derive and integrate data

• Model training, fine-tuning, and evaluation.