Maanasa Rajeshwer

Front End Engineer- Shopping Bag UI Team:

• Pioneered Mini Bag feature implementation across Gap, BR, Athleta, and Old Navy platforms to enhance customers' shopping experiences without disrupting browsing. Created multiple UI components (eg. quantity, price, and promo attributes, scrolling mechanism, sticky checkout, and more) using React JS and Typescript, ensuring alignment with Figma specs via Storybook UI

Back End Engineer- Allocation Team:

• Orchestrated seamless migration from HBase to Azure SQL, decommissioning existing resources and refactoring Hadoop commands to vanilla Python. Transformed processes critical for inventory management, saving the company $18,000 annually
• Increased code coverage by 15% through comprehensive JUnit testing within the PETE domain. Integrated error handling in Springboot using Gradle and Mockito, ensuring robustness and reliability of in-season customer choice data

Data Engineer- Supply Chain Data Engineering Team:

• Develop and maintain data mapping files using models and dictionaries in Excel and Python to document data types, relationships, and metadata. Implement base 1 and 2 transformations to ensure the data's readability for analysts
• Automate CI/CD by implementing Jenkins Shared library, consolidating and reusing pipeline logic across multiple repositories to optimize deployment flexibility and job recovery. Integrated approval processes for artifact verification
• Streamline data validation with reusable functions in Databricks Notebooks and create consumer and sequence diagrams to document data flow to enhance team productivity

• Engineered and implemented tailored workflows via the Appian Business Process Management platform, enhancing performance of management systems for high-profile clients like the Georgia Department of Driver Services and the Kansas Department of Transportation.
• Crafted entity relationship diagrams to facilitate effective data modeling and database management, using SQL for querying
• Applied agile methodology to shorten cycle times, collaborating with multiple SCRUM teams internally and off-shore, and orchestrating regular client demos for feedback integration

• Overcame challenges in the application of different, freely-available biomedical data sets using R to drive innovations in clinical care and drug discovery
• Collaborated with a research team to translate and perform statistical, qualitative, and quantitative analyses
• Helped design a semi-automated annotation software and crowd-sourcing platform to generate high-quality training data

• Facilitated the transition from paper-based records, transforming medical documents into a comprehensive digital database, ensuring accuracy and completeness in patient records
• Implemented measures to prevent unauthorized access, loss, alteration, or deletion of sensitive patient data, ensuring its confidentiality and integrity
• Reviewed and processed patient applications for free medication, engaging with patients to secure necessary supplementary documents and guiding them through application procedures