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BASIC

Student

Master of Technology - MTech

Bachelor of Technology - BTech

Associate Process Manager

• Project: 'Botnet detection using deep convolutional neural networks'
• Generated a dataset containing normal and botnet data in pcap format, converted the pcap files into images and fed them into different CNN models.
• Compared and analyzed the performance of VGG16, ResNet, AlexNet and GoogLeNet on classification of botnet and normal data.

Intern

My master's degree consisted of 50% coursework and 50% research. 
I broadly worked on "Air Quality Estimation"

• Experimenting with portable air quality sensors (Jan 2019 - Apr 2019)
Measured the exposure of PM2.5 on construction workers using air quality sensors. Plotted the data acquired over time and conducted calibration tests with 5 sensors. 

• Creating a live air quality dashboard (May 2019 - Jul 2019)
Deployed 5 air quality sensors at different locations on campus. Created a live dashboard using JavaScript, python(flask), and leaflet.js that displayed the amount of PM2.5 at those locations and updated the values automatically after an interval. This study was useful in measuring high polluting activities and their time in those 5 locations.

•  Estimating ground air quality using satellite data (Aug 2019 - Dec 2019)
As air quality sensors are expensive and provide less spatial coverage, we used satellite-derived aerosol optical depth (AOD) and meteorological fields collocated 

Graduate Student Researcher

Process Manager

Linux

Python

Machine Learning

Azure

Artificial Intelligence (AI)

Confluence

vscode

GitHub

Senior Manager, Development

AI Engineer | Educator

Know about Souvik Roy’s work experience, education, bootcamps, certifications, and much more. Souvik Roy