Chirla Akhila

Experience

• 

  Workforce Optimizer - AI Enabled WFM

  Dec 2021 - May 2023

  Business Analyst

  • Engaged in comprehensive design discussions with clients, capturing operational needs for product enhancements, leading to 5 improved product features and client satisfaction in 6 months, which increased the product’s adaptability and aided the company’s expansion within the healthcare industry.• Spearheaded seamless project execution and fostered effective collaboration among cross-functional teams by managing project tasks, utilizing ticket-tracking in Jira, and maintaining meticulous project documentation in Confluence resulting in a tracking framework that increased the team’s overall efficiency.• Analysed and validated data exceeding tens of thousands of records to ensure accuracy and consistency, enhancing data quality for 3 projects. Employed SQL-based database configurations and data analysis techniques to extract valuable insights, facilitated informed decision-making.• Led user acceptance testing by preparing test cases and facilitated user training for smooth user adoption and increased application proficiency by 70%.• Assumed project management responsibilities and conducted end-to-end project planning, including scope definition, resource allocation, timeline development, and risk assessment, resulting in well-structured and achievable project plans for 2 projects.• Led Steering Committee meetings, and facilitated negotiations with clients and stakeholders, ensuring alignment on business requirements and application functionality and maintaining strong relationships throughout 2 project lifecycles.Clients: National Dental Centre of Singapore (NDCS), Tan Tock Seng Hospital Medical Affairs (TTSH), National Cancer Centre Singapore (NCCS), SingHealth Community Hospitals (SCH) Show less

• 

  Advanced Remanufacturing and Technology Centre (ARTC)

  Jan 2024 - Jun 2024

  Data Analyst

  Project: Delivery Network Routing and Geo-Segmentation• Conducted geographic data analysis by querying coordinates from postal codes, using Kernel Density Estimation to forecast future postal data• Utilized Tableau and Python programming to analyze data, identifying trends, patterns, and areas for optimization.• Developed algorithms to simulate mail and parcel distributions, incorporating Poisson and binomial distributions, while considering trend and seasonality factors.• Validated multiple postal data input files from clients, ensuring accuracy and reliability in data handling and analysis.• Generated detailed graphs of dwell and transit times relative to postal delivery routes to assess and optimize logistical performance. Show less

• 

  VML

  Oct 2024 - now

  Business Analyst