Software developer at OpenSearch - find more of my contributions that are open-source here: https://github.com/neetikasinghal

Confidence Factor for Merchant Monitoring Alerts

• Streamlined SRE/OPS team experience to understand the importance of alert by including confidence factor to each alert.

• Built the ETL pipeline and automated the training, deployment of machine learning model using python scripts.

• Collaborated with team to understand the generation of alert and shortlisted 16 features out of 272.

• Worked on the front end (NodeJs/React) to display confidence factor and deployed to production.

• Reduced average time taken to act on an alert by 30%.

As a Software Engineer, I have worked in the Platform Engineering team, working on multiple POCs, developing end-to-end services involving backend and frontend.

Worked on projects, 'Storage as a Service' involving the build of RESTful web services for the allocation, deallocation of storage spaces to desired applications; 'Event Correlation', involving the monitoring of various events flowing into Kafka queue and triggering the engine for the event that matches the criteria, the engine involving various mistral workflows, a rules engine for decision making and a notification service.

Worked on a Machine Learning project, 'SmartLeads' for Quickbooks Online, India to maximise the sales conversion rate by predicting the most potential customers that are more like to buy the product. This solution had a major impact, increasing the sales conversion by 40% . This project involved data extraction from Intuit Analytics Cloud(Hadoop based), cleaning and analysis of data using pandas, removing class imbalance using oversampling, feature engineering, building scikit-learn based MLP Machine learning model with an AUC of 0.959 and preparing the automation pipeline using AWS Sagemaker.