
Ruthvika Lakkaraju
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Ruthvika Lakkaraju
- 7 Monate, Apr. 2022 - Okt. 2022
Software Engineer
Legato Health Technologies
- Analyze stored procedures that are integrated with PEGA workflows, identify, review, and report scenarios and defects. - Reduced claim creation time by 20% by optimizing claim processing through automation using Python scripts.
- 1 Jahr und 11 Monate, Juni 2020 - Apr. 2022
Associate Software Enginner
Legato Health Technologies
- Worked in an Agile environment - Primarily responsible for the claims adjudication process (Claims Validation), which included integrating Facets (the claims processing tool) with a custom-built application Authorization Override Tool, which includes a user interface for entering authorization bypass scenarios. - Optimized and automated the AO tool's test cases for UI automation.
- Built an application named Shop-Glue (Shopping Management System) on the ServiceNow instance. - Implemented Service-Now customizations such as client scripts, UI policies, UI actions, business rule scripts, workflow administration, report setup, and data imports and exports. - Created data sources and loaded the Service-Now tables with different data formats and transform maps using both automatic field mapping and scripting.
- 1 Jahr und 2 Monate, Jan. 2018 - Feb. 2019
Marketing Manager , Super- Intern and Vice President (VP), Marketing
The Climber
- Marketing Manager: Conducted market research, created and oversaw online campaigns. - Super-intern at the head office of "The Climber": Executed four small-scale events, one of which was held at my college in conjunction with the IEEE-MVSR Student Branch. - As the vice president of marketing for the Hyderabad chapter, I recruited and set up members in departments and assisted them in the analysis and development of marketing plans and campaigns for a sizable fundraising event in Hyderabad.
Ausbildung von Ruthvika Lakkaraju
- Bis heute 2 Jahre und 7 Monate, seit Jan. 2023
Business Analytics and Data Science
EU Business School
Notable courses: Deep Learning and Artificial Intelligence Machine Learning New Product Development Data Visualisation
- 4 Jahre und 2 Monate, Aug. 2016 - Sep. 2020
Computer Science and Engineering
Osmania University
Sprachen
Englisch
Fließend
Deutsch
Grundlagen
Telugu
Fließend
Hindi
Fließend
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