Primary Implementation partner for a fortune 100 firm helping the customer build Data Lake 2.0 which is actually consumable
A real deal MLOPS that works. A workflow built to make sense for data scientists.
Fraud Analytics with Neo4j Graph database for a Fortune 100 Financial Firm
Helped build out a data lake from scratch for a 150 year old Insurance firm enabling data democratization and scale out Analytics.
Re-factoring Hadoop eco-system data pipelines to Spark/Scala for a large Benefits Company
Making sense of Unstructured data with a discipled metadata management and ML/AI Model development
Using Graphana and Prometheus for Model Performance and Usage Monitoring
RPA Implementation
Data Lakehouse POC with Snowflake
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