Built end to end machine learning model to predict customer daily/weekly/monthly volume.
Work with stakeholders to produce data analysis and visualizations designed to gain product and business insight.
Built a python service to ingest FHIR data and store in google cloud storage.
Deployed weekly and monthly customer volume prediction using BigQuery ARIMA model to promote accurate staffing ratios.
Create queries and data pipelines to gain insight for stakeholders.
Currently working on a Sentiment Analysis model to predict customer sentiment using Hugging Face's BERT Transformer Models
Created a service that ingests data from published RabbitMQ messages and persists data into Postgres DB