• Built a Web App/Dashboard for forecasting the number of COVID - 19 
cases worldwide harnessing ArcGIS and minimized the linear 
regression error rate by 14%.

• Applied Linear Regression to find trends within (+/-) 5?curacy by 
 lowering the Forecast Error.

• Implemented Flask to build a web application for voter sentimental 
analysis by parsing twitter data to get 15?tter separation of words.

• Employed Text Blob, Vader NLP and MongoDB, stored data in JSON and 
visualized the findings employing Tableau during the 2020 USA elections; 
there was a reported 65% higher engagement in favour of Republicans.

Project Manager, BumpTrax

 • Oversaw Team for RaspberryPi device to run a Pothole detection 
program in Python and improved scalability by over 30%.

• Devised a system in OpenCV and YOLOv3 for Real-time object 
detection, diminished error rate and amplified accuracy by 20%.

• Reduced computational overhead by using OpenCV with YOLO to gain 
10?ficiency.