Siddharth Shringi

Senior Associate - Research & Analytics (Data Science) @WNS

Client - Total Energies Gas and Power Limited\\\\n\\\\n- Accountable for developing the Machine Learning Models for the project\\\\n- Created an AI/ML Model for Sentiment Detection and Ham/Spam Mail Prediction\\\\n- Created 5 AI/ML Models for Category prediction for 5 different Mailboxes\\\\n- Created a Fast API where all 7 AL/ML Models were integrated by creating a system which dynamically sources data from SQL database table, extracts IDs of the predicted categories from the database table & uploads all predictions into the Python table\\\\n- Was responsible for deploying the Fast API on client’s server using “pipenv” library\\\\n- All 7 deployed models gave an accuracy of greater then 95%, with 1 model giving an accuracy of greater than 99%\\\\n- Additionally, conceptualized and created a Power BI Report showcasing key value-driving insights\\\\n\\\\nClient - Roche Pharmaceuticals\\\\n\\\\n- Project team lead for sentiment labelling of pharmaceutical drugs\\\\n- Managed and mentored a team of 5 - complete supervision of project operations and execution\\\\n- Daily Interaction, project updates and query-resolution with the Switzerland based client\\\\n- Created and maintained a workflow tracker system to keep project timelines in-check\\\\n\\\\n\\\\nClient - Grange Insurance\\\\n\\\\n- Built the Classification and Contextualisation API’s for various categories of Insurance documents\\\\n- Worked with AWS S3 Buckets, AWS CloudWatch and Mongodb Database tool\\\\n- Regular bug-fixing and end-to-end testing of documents on UAT Environment\\\\n- Created code for e-mail integration using Microsoft Graph API (Processing e-mails from clients’ mail boxes and capturing the information in the mail-body and attachments into a new document)\\\\n \\\\n\\\\n \\\\n \\\\n\\\\n \\\\n