Purva Chakkarwar

Experience

• 

  Iknowlation Research Labs Pvt Ltd

  Jun 2017 - Jun 2018

  Student Intern

  I. Predict onset of diabetes• Developed a Machine Learning API using Flask Framework to predict likelihood of having diabetes.• Model was trained using Random Forest algorithm which resulted in 90.1% accuracy• Used Pima Indian Diabetes Dataset from UCI ML Repository using 9 input parameters including stress level, diabetes etc

• 

  UBS

  Feb 2022 - now

  I. Forms library• Automated process of analysing forms load time; Triggered shell script to reduce repetitive tasks andavoid manual intervention resulting in saving approx. 100 mins per day.• Implemented prefilling fields feature using Java 1.8 on various forms saving 5 man mins on each form.• Built Java REST API’s using spring framework to gather upstream data; Reconstructed collected data as per custom tag grid loaded in DB and sent it to downstream applications including Docusign.• Worked on Chrome Remediation HTML 5 project to convert PDF's into XDP's format which is supported on Chrome. Performed unit testing, basic functionality testing and UAT testing for critical scenarios.• Used GitLab CI/CD pipelines to manage code integration and code delivery; built java WAR artifacts and deployed on QA and PROD servers using RLC and DA tools.• Coordinate closely with the IT team to ensure understanding of functional specifications and provide technical support and prepare follow-up development plan.II. Client Account Information• Worked on enabling user functionality using Java microservices to reorder cheque books online.• Used java as the database connector to fetch data from Stored procedures (SPs), to validate it and populate it on CAI User Interface Show less I. E-Signature:• Lead a 5-member scrum team to modify client onboarding package improving FA engagement as scrummaster; Worked on creating better Agile practices and streamlining the processes• Reduced client’s onboarding manhours by 30%; Introduced e-signature in DGF application• Designed efficient e-sig workflow by identifying multi-signor issue in composite forms package• Enhanced e-signature feature in Forms Library application using Java REST API’s for heavily used Forms decreasing the response time by 10% for client signatures.• Evaluate effort estimation for stories and carried out project management using JIRA. Show less

  • Software Engineer

    Jul 2018 - now

  • Authorised Officer

    Feb 2022 - Dec 2022