Pranav Chandramouli

Graduate Student with expertise in Computer Vision, Deep Learning, and its applications, specifically autonomous remote sensor systems for object detection.

Research Expertise

Computer Vision

Deep Learning

Computer Science Applications

Software

About

I am an M.S. student specializing in Computer Vision for Remote Sensing for Wildlife Conservation. I am passionate about leveraging CV, Perception, and DL to build products and solutions that improve the world around us. I am a self-starter and collaborative problem-solver with a strong work ethic. Beyond technology, I spend my time on photography, bird watching, or in the great outdoors.

Publications

analyzeR: A SonarQube plugin for analyzing object-oriented R Packages

SoftwareX / Jul 01, 2022

Chandramouli, P., Codabux, Z., & Vidoni, M. (2022). analyzeR: A SonarQube plugin for analyzing object-oriented R Packages. SoftwareX, 19, 101113. https://doi.org/10.1016/j.softx.2022.101113

Education

University of Saskatchewan

M.S, COMPUTER VISION & DEEP LEARNING / May, 2024 (anticipated)

Saskatoon, Saskatchewan, Canada

Experience

UNIVERSITY OF SASKATCHEWAN

RESEARCH ASSISTANT / August, 2022 — Present

My research experience includes semantic segmentation of aerial imagery, synthetic image generation, multispectral image analysis, audio classification using sound event detection and optimizing ML workflows with GPU clusters.

FolioWiz LLC

Data Science Intern / June, 2021 — August, 2021

Set up a PostGRES server and SQL database for a financial trading system. Used this data to create a pipeline for an algorithmic trading toolkit.Developed a module to assess portfolio performance and associated risks. Performed backtesting to evaluate different trading strategies.

Links & Social Media

Link

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