• 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.

Won the TCS Gems awards for BestPerformance improvement Project (Team)and Best Team (Delivery).Extended Capacity Utilization and otherkey production areas in response tounprecedented COVID-19 demand.Built a Web App/Dashboard for forecasting the number of COVID - 19cases worldwide harnessing ArcGIS and minimized the linearregression error rate by 14%.Applied Linear Regression to find trends within (+/-) 5% accuracy bylowering the Forecast Error.

Oversaw Team for RaspberryPi device to run a Pothole detectionprogram in Python and improved scalability by over 30%.Devised a system in OpenCV and YOLOv3 for Real-time objectdetection, diminished error rate and amplified accuracy by 20%.Reduced computational overhead by using OpenCV with YOLO to gain10% efficiency.