• Support org in its decision-making by empowering leaders and peers with analytics.• Design and own data products that help understand and improve user experience with the apps.• Leverage data analytics to inform leadership and organization about the progress or lack of on organizational goals. • Build scalable data products from 0 to 1 for teams to use.

Designed and Developed multiple ML life cycle management systems using container based microservices and Apache Airflow/ Jenkins pipelines. This includes provision for model serving, staging with MinIO, retraining and ETL. Data modeling and SQL. Used docker swarm for micro-service deployment and RabbitMQ for message queues.Designed and implemented complete end to end data pipeline using Azure Datafactory and Azure ML.

• Scraped data for ML project• Performed Data generation, preprocessing and Hyper-tune optimization of Machine Learning frameworks.

• Designed and Developed distributed Machine Learning execution engine based on Ray AI framework for edge cloud systems.• Programmed resource monitoring and benchmarking scripts for quorum blockchain based distributed systems.

• Developed a python module to perform dimensionality reduction using Pearson correlation coefficient, ANOVA tests. • Performed dimensionality reduction on a data with more than 3500 features using gradient descent-based optimizer.• Developed machine learning based model for Alzheimer's prediction.

• Performed data analytics on a ticketing data and developed real time anomaly detection using tool using Spark.• Proactively worked with client to automate routine tasks such as healthcheck of resources using Python and shell script. This resulted in more than 330k AUD annual savings for the client.• Worked on software maintenance, enhancement and Data-fixes.