Developed analytics dashboard for large-scale databaseDesigned server architecture and front-end interface, and created efficient code designCollaborated with team members in meetings to discuss project progress and coordinate efforts

* Support the Transportation demand management (TDM) Manager in administering the university’s MBTA college semester pass program,* Support the TDM manager in the development and testing of online forms, including preparing form update reports for IT, debugging, testing, and solving bugs;* Run and analyze TDM reports* Programming using python* Data visualization, such as advanced Excel or Tableau;

• Saved 88+ hours of manual labor on for data collection per semester through automation using python.• Managed university website announcements page. • Posted new downloadable files using ExpressionEngine.• Designed form with HTML-CSS as frontend and JavaScript hosted test site on AWS ec2.• Participated in weekly project management meetings focused on improving and streamlining user experience

• Monitored ongoing operation of assigned programs and responded to problems by diagnosing and correcting logic and coding errors. • Had been very helpful In increasing the reach of the product by writing algorithms to onboard social media influencers through which the company was able to target 1 million+ profiles.• Worked on Amazon web Services(AWS) as server, S2 Implemented end to end profile deletion feature which involves complex business logic using Django and python. • Worked on fraud detection models to find amount of fake followers a influencer possess.• Integrated and implemented payment gateways cashfree, paytm. • Led version control efforts, with GitHub, Gitlab and other public and open-source repositories.

• Participated actively in integrating Instagram, Facebook and YouTube authentications for user level Insights by using REST API's, Python frameworks Django and Flask.• Worked effectively on scraping projects, using python requests, selenium, crawlera, zyte, phantombuster• Planned and developed efficient solutions to collect real-time data for the organization which automated many tasks leading to annual savings of 7,200 man-hours.• Conducted research on marketing and advertising gathered information from various sources on best practices for data intensive industry provided suggestions on the stack to start building the application.• Member of interview panel interviewed students in both college drive and office.