aishwarya battula

• Developed statistical demand forecasting models for HP Consumer Notebooks across 10+ global markets. • Built production ML pipelines on Databricks covering feature engineering, training, validation and monitoring. • Improved forecast accuracy to ~80% using statistical and machine learning forecasting techniques. • Partnered with planners and business stakeholders to translate forecasting insights into operational decisions.

• Worked in the consumer hardware business divison of Google and leveraged Machine Learning techniques to optimize the end-to-end Supply Chain operations. • Employed Vertex AI within Google Cloud Platform (GCP) to construct Machine Learning workflows spanning from Data Preprocessing, Model Deployment to Model monitoring. • Conducted experiment designs and executed A/B tests for ML models, extracting valuable insights from the results.

• Build and test end-to-end custom interfaces for various healthcare centres in the North American region. • Perform scripting using Cerner Command Language(CCL) to customize the data shared as per system requirements in order to ensure smooth data exchange between hospital systems. • Worked on development of custom clinical interfaces for an NGO- Karuna Trust to help with screening of Non-Communicable Diseases(NCDs) being used by 35 PHCs in India.

• Worked as a Data Integration Analyst for a Promotion Planning Application. • Ensured that good quality data is being ingested to the application. • Troubleshoot any of the data integration issues faced by the end users in EU & NA markets. • Resolved 300+ data integration issues and brought the Incident resolution SLA time down by 40%. • Worked on automation of daily reports using PowerShell which reduced the manual efforts by 100%.

• Built an Android chat application "Folks" using Google Firebase as the console and DB.