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Hi there, I'm Shaurya

Linkedin: Shaurya GitHub follows website

I'm a full time software engineer and recent machine learning graduate. I'm really interested in researching ways to apply robust modeling algorithms towards applications in quantitative finance and algorithmic trading.

Some of my interests

Machine Learning 🧠 Financial Engineering 📈

Robotics 🤖 Web Development 🌎

Philosophy 💭 Art History 🎨



Got Docker? Try running this in your terminal!

docker run -it --rm shauryachandhoke/resume-cli:v1

Come Check Out My Projects!


My Tech Stack

Technologies

Frameworks

Programming Languages

Databases


Summary

Shaurya Chandhoke's Projects

basictcp_program icon basictcp_program

A short program that simulates a client-server interaction using the TCP protocol. The client sends an http request for an html file and the server responds

black-scholes-merton-calculator icon black-scholes-merton-calculator

This project launches a nice little web application that allows users to calculate European option prices using the Black Scholes Merton Differential Equation

edge-detector icon edge-detector

A simple command line tool that uses non-maximum suppression to detect edges within an image

ffa-engine icon ffa-engine

A factor-based allocation engine that uses the Fama French 3 Factor model to perform a long/short trading strategy

image-segmentation icon image-segmentation

A simple command line tool that uses K-Means clustering and SLIC segmentation to categorize pixels within an image into their respective clusters and super pixels

line-detector icon line-detector

A simple command line tool that uses Ransac regression and Hough Transform to detect lines within an image.

rplidar_workspace icon rplidar_workspace

Repository designed for the Raspberry Pi 3 containing work on the RPLIDAR A2M8 Lidar along with the Zumo 32U4. This repository makes use of multiple open source libraries to achieve SLAM mapping alongside robot traversals.

sky-detector icon sky-detector

A simple command line tool that uses K-Means clustering and K-Nearest-Neighbor techniques to classify two independent sets of images.

whatthecrop icon whatthecrop

Won TCS & HERE maps challenge, Top 6 out of 40 teams at HackNJIT 2018!

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