Playing tennis

Enterprise banking retail domain agile developer debuted for clients support with basic business understanding of infrastructure that enhances business operations, saving its project cost management with STLC using cloud adoption of client business model. With an executive background in data science and techno-functional leadership experience of 6.5 years working with data warehouse handling multiple projects simultaneously for driving AI and automation initiatives effectively.
Reported insights through looker integration with agile cloud system that used Google Big-Query for operational analytics layer to serve customer recommendations.
Passionate about learning and committed to continual improvement:
Led team and conducted knowledge transfer for processes within cross-functional projects
1. Data engineer in GCP with ETL pipeline skills – GCP BigQuery, Dataproc, GCS, lengend data models.
Unix Shell scripting
Knowledge in Big data Analytics, hands-on level to solution an automated business process using cloud technologies in AWS that provide opportunities for decision making by predictive customer analytics. AWS Public cloud using AWS Managed services
Skills: Cloud Formation Template, AWS CLI, Docker, ECS, LoadBalancer, ApacheTomcat, Kinesis, DynamoDB, S3, SNS, Cassandra, BigData, EC2, S3, RDS, ELB.
PROJECT- CUSTOMER DATA ANALYTICS Using the data set with python built-in libraries for RFM
LEARNING OUTCOMES: Business discovery, Data discovery, Data preparation, Exploratory data analysis,
Feature engineering Predicting the churn and writing recommendation for priority cluster to reduce churn
Oracle cloud associate
Oracle cloud associate
Playing tennis
Watching cricket
Writing