Project 1 : Patient Profiles
Client : Medidata Solutions
Country : U.S.A
Period : March 2020 - Present
Role : React Js Developer
- Patient Profiles is an application where medidata authorized customers can able to see patients info with beautiful, customizable report view.
- User can able to export Report as a pdf format also Bulk export to the mail.
- Different Kinds of tables & graphs are utlized to represent patient data in a better way.
- Used Functional Hooks throught application.
- Redux for maintaining Store of application.
- Used advanced ES6 Concepts throught application.
- Jest for unit testing framework.
- Implementation of professional software engineering best practices for the full software development life cycle, including coding standards, code reviews, source control management, documentation, build processes, automated testing, and operations
- Knowledge of Agile and Scrum methodologies including sprint planning, daily standups, sprint demos, sprint retrospectives, estimation and prioritization techniques
- Be a trusted advisor for junior engineers
Project 2 : Dataviewer
Client : Medidata Solutions
Country : U.S.A
Period : Nov 2019 - Mar 2020
Role : React Js Developer
- This is the application we've developed for medidata to view large number of huge datasets info of form clinical data into infinite scroll table view with advanced filtering,re-ordering & sorting capabilities e.t.c.
- Integrated Api's asynchronously to improve the performance & speed of application.
- Knowledge of Agile and Scrum methodologies including sprint planning, daily standups, sprint demos, sprint retrospectives, estimation and prioritization techniques
- Convert designs from mockups into fully implemented UI features
Project 3 : Face Recognition
Client : Internal Project
Period : Octobet 2019 - Nov 2019
Role : Python Developer
- This is the web based application used for Attendence system with facial recognition using opencv module.
- I've taken care of Open CV based Face Recognition algorithms using python.
- Also integrated this opencv module with Python Flask to represent this Face recognition system in a good visual ui design.