Sen Siva Email and Phone Number

I worked on fluctuating assignments within an on-call support rotation environment, including resolving production issues and performing code turnovers (test environment to production). I used Scala, Python, SQL, Java, Angular, Bash, Spark, and Autosys on projects, ensuring on-time and high-quality completion.I addressed and resolved production outages in a timely manner, ensuring smooth flow of operations and assisted team members who were unfamiliar with a specific technology. Key highlights:❖Value Adjustment (VA) Values – Increased data accuracy by 20%. Wrote code to obtain VA values using Scala vs. Perl (code created a file that contained VA values) and loaded the file into a DB2 table. Strats were highly satisfied with the new data and results.❖Mono_eds – Created a new git repository by combining 3 existing git repositories and decommissioning 3 others. Configured the CI/CD infrastructure, created the new builds using Jenkins, and performed 1 month of testing prior to the production phase. Optimized the pull request build by adding tests.❖Automated Email Script – Set up a new process that enabled developers to automate emails (using Python and json), implementing multiple changes due to updated requirements from upper management. Saved time for developers to use on more important tasks.❖Wits Testing Framework – Decreased errors by 5% through repairing a bug in the newly built testing framework that had prevented the framework from functioning correctly. Modified the Bash and Springboot code, ensuring less errors in the development database. Earned praise from upper management regarding the project.❖pd_ir_lsm_leg_load – Ensured proper loading of table by creating another file that contained the same data using Scala, as well as setting up the infrastructure to load the data to a table using SQL. Subsequently, implemented modifications to the SQL code to remove the duplicates first and change types.

I worked on a Topic Modelling project with a team of speech scientists, with the primary goal of optimizing costs for a client. I used Python, Pandas, Scikit-learn, and Matplotlib as part of the initiative. Among my achievements:❖Topic Modelling – Enabled the clients to reduce costs by 5% through project contributions.

I worked closely with a team of data scientists on planning and initiating the redesign of an existing clustering algorithm, utilizing k-means clustering with multiple passes, tf-idf, and stemming. My accomplishments include:❖Algorithm Redesign – Contributed to the company’s key product launch through efforts on algorithm revamp (enabling grouping of similar news articles).