Chetan Surana

I am a Computer Science Engineer. But really, I love to code. It is an expression of my creativity. I have a solid foundation and good problem-solving skills. I have expertise in Artificial Intelligence, Data Science and Front End Web Development. You can discover more about my personality, projects and skills here. If you'd like to collaborate on any projects, or discuss ideas, contact me!

Work

Play

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Yelp Dataset Vizualization

Yelp Dataset Visualization

Redesigned User perspective Yelp restaurant search platform with intelligent visualizations, including Bubble chart for cuisines, interactive Map, Ratings trend line chart and Radar chart, Frequent Checkins Heatmap, and Review Sentiment Analysis.

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Budget Books Data Analysis

Used Tableau to crunch cost data in quarterly Budget Books (PDFs) of a construction project from 2014-2019. Created interactive visualizations that allow assessment of impact of schedule delays on project costs, identification of major cost elements and risk elements. I Co-presented the work with Simplar Research Institute at WCCC Project Controls Summit in Los Angeles, January, 2020.

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Multi-Agent Reinforcement Learning

Designed and implemented a MARL algorithm with modified Q-Learning where two robots learn a policy automatically to pick up objects from the environment designated for each robot. Used Python and ROS and simulated the robots’ behavior successfully in Gazebo.

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Cardiovascular Disease Risk Prediction from CIMT

Implemented open snakes (Active Contour Model), to segment Lumen Intima and Media Adventitia interfaces in ultrasound images of the Carotid artery measure CIMT. CIMT can be used to assess and predict risk of Cardiovascular disease.

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Intelligent Chatbot for Automated Requirements Elicitation and Classification

Researched approaches to automate SDLC processes, specifically, the requirements gathering stage. Developed a chatbot to interact with stakeholders and elicit formal system requirements. Applied machine learning to classify the elicited requirements into Functional and Non-functional categories. Research Paper on the work was presented and is published in 4th IEEE RTEICT Conference Proceedings.

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Healthcare Data Mining

Developed a platform which, given symptom or disease search query, presents intelligently ranked, relevant user posts scraped from popular Healthcare websites' discussion forums like WebMD, Health24, and Patient.info

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Deep Learning

Currently studying Convolutional Neural Networks, popular architectures, hyperparameter tuning and other concepts. Gaining skills in Keras and Tensorflow libraries.

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