=> Developed ML models, Priority based optimization models, mathematical models that help for inventory optimization in retail industry leveraging GCP, Bigquery, Vertex AI=> Significant focus and innovative mathemedical models created helped the organization to reduce the wastage, improved business strategy.=> Mathematical models created were efficient in reducing the computational power of cloud resources and also helped to save hundreds of manual hours.

=> Created essential Power Bi reports that help the leaders to monitor the level of completion, various other analysis of FMEA projects created by different teams=>Lead to Automate the flow of usage data of various tools in snowflake. This has avoided the manual efforts of the team to create aggregated metrics in excel.=> Identified the opportunity of creating a Data science project, worked with the leadership to raise funding of $100000 and listed the tools, efforts, sources of data flow to the model, possible point of contacts necessary for the project to kickstart.

=> Fine tuned the text analytics models,developed static and dynamic threshold anaomaly detection model, => Developed Pyspark scripts to scaleup the processing of Huge inflow of data from Cassandra. This has filled the gap in Big data pipeline and enabled easy and quick processing, loading of data to Cassandra database from staging tables=> Automated complete workflow of data processing pipe line to fetch data from source tables, commiting the data to git repositories for downstream processing, mailing the job completion to respective teams using lotus notes, Linux.

=> Balancing the day to day work as mainframer, Developed POCs in R by building word clouds to identify the trends in twitter=> Started to collobrate to Data Science team as a stretch resource to develop NLC models in R=> Transitioned as a full time resource to work in a data science team, Participated in brainstorming sessions with the team for idea generation to create solutions for the business problems=> Developed, Maintained Flask APIs, Oozie workflow, Processed text data of both internal projects and clients using the Using unsupervised learning techniques in Machine learning.=> Visited Universities to educate the students about Data Science=> Developed POCs using IBM Watson Natural language classifier.

=> Maintenance engineer,Usually spent time in scheduling the job flow, creating Job planners, Montoring the job flow, fixing the job abends.=> Had bandwidthto upgrade on the latest technologies, utilized the time efficiently in learning Data Science concepts, developing knoweledge in tools like SPSS,R

=>Graduate hire,Started career as a Mainframe developer

Completed post graduation (Industrial engineering) in anna university, chennai, tamil nadu and stood one among the top 5 in the university.

Gold medalist in bachelors degree in Biotechnology at ANITS.