Ved Sharma Email and Phone Number

DOCITT DATA WAREHOUSE• Description: Developed a data pipeline and document processing system for data migration and analysis.• Pipeline: Migrated data from MongoDB to S3, set up AWS Glue Crawlers for Athena, and deployed Dockerized applications on EC2.• Document Processing: Used AWS Textract Lending API to extract and compare key-value pairs in financial documents, validating data against application forms.• Technologies: Python, AWS (S3, Athena, Glue, Textract, EC2), MongoDB, Docker, flake8, Bitbucket.

CHARM SOLUTIONS • Description: The project involves gathering financial information from users to generate a ”Charm Score.” This score, akin to a credit score, is tailored for small and medium‐sized businesses rather thanindividuals.• Frontend: ReactJS, MaterialUI, Formik, Yup.• Backend: AWS Lambda functions, HubSpot, Auth0.• Deployment: AWS Amplify.• Version control: GitHub.DOCITT DATA WAREHOUSE• Description: Built a data pipeline and document processing system to handle data migration and analysis.• Pipeline: Migrated data from MongoDB to S3, used AWS Glue Crawlers for table creation in Athena, and deployed Dockerized apps on EC2.• Document Processing: Handled document uploads, stored in S3, extracted key-value pairs with Textract, and validated against application forms.• Technologies: Python, AWS (S3, Athena, Glue, Textract, EC2), MongoDB, Docker, flake8.• Version Control: Bitbucket.PROCON ANALYTICS• Description: Modified Python scripts running on IoT devices to achieve specific output requirements.• Technologies: Python, pytest (for unit test cases), flake8 (for code quality reports), coverage (for code coverage reports).• Version Control: Bitbucket.SOCIAL FEEDS• Description: Developed a system to scrape posts and job listings from Facebook, LinkedIn, and Twitter (X) for data analysis.• Technologies: Ruby on Rails (RoR), Docker, Selenium, React, EC2.• Version Control: Bitbucket.BRITECAP• Description: Implemented a system where agents call leads to gather loan information, which is then input into a form.• Technologies:Frontend: ReactJS, Redux, Material UI, TypeScript.Backend: Amazon Lambda functions, HubSpot.Communication: Amazon Connect.• Version Control: GitHub.

Loan Origination System (LOS):• Description: LOS facilitates the processing of loan requests submitted by users. It organizes these requests into a table view for administrative review. Administrators can approve or reject requests based on predefined criteria. The system includes a backend scheduler to automatically notify users of their application status.• Framework/Libraries used: ReactJS, MaterialUI, Formik, Yup and Axios.• Back-end Implementation: Express, NodeJS, GraphQL, Spring Boot.• Database/Tools Used: MongoDB Compass and Atlas.Admin Dashboard Application:• Description: Developed a multifunctional E-commerce dashboard for administrators. The dashboard provides insights into earnings, sales, orders, and customer activity. It serves as a comprehensive tool for monitoring key metrics in an E-commerce environment.• Technologies: ReactJS, TailwindCSS, Syncfusion, Netlify.Project Management Application:• Description: Developed a project management application enabling users to efficiently manage clients and projects. The application allows users to add, edit, and organize clients and projects. Additional features may include task tracking and reporting.• Technologies: ReactJS, GraphQL, NodeJS, ExpressJS.