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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
<meta name="description" content="B.E Computer Science Engineer experienced in Full Stack Web Dev, Platform Independent Mobile App Dev, Machine Learning and Deep Learning">
<meta name="author" content="Keshav Aditya R.P">
<title>Keshav Aditya R.P - Personal Website</title>
<!-- Bootstrap core CSS -->
<link href="vendor/bootstrap/css/bootstrap.min.css" rel="stylesheet">
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<link href="https://fonts.googleapis.com/css?family=Saira+Extra+Condensed:500,700" rel="stylesheet">
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<link href="vendor/fontawesome-free/css/all.min.css" rel="stylesheet">
<!-- Custom styles for this template -->
<link href="css/resume.min.css" rel="stylesheet">
</head>
<body id="page-top">
<nav class="navbar navbar-expand-lg navbar-dark bg-primary fixed-top" id="sideNav">
<a class="navbar-brand js-scroll-trigger" href="#page-top">
<span class="d-block d-lg-none">Keshav Aditya R.P</span>
<span class="d-none d-lg-block">
<img class="img-fluid img-profile rounded-circle mx-auto mb-2" src="img/p2.jpeg" alt="">
</span>
</a>
<button class="navbar-toggler" type="button" data-toggle="collapse"
data-target="#navbarSupportedContent"
aria-controls="navbarSupportedContent"
aria-expanded="false"
aria-label="Toggle navigation">
<span class="navbar-toggler-icon"></span>
</button>
<div class="collapse navbar-collapse" id="navbarSupportedContent">
<ul class="navbar-nav">
<li class="nav-item">
<a class="nav-link js-scroll-trigger" href="#about">About</a>
</li>
<li class="nav-item">
<a class="nav-link js-scroll-trigger" href="#experience">Experience</a>
</li>
<li class="nav-item">
<a class="nav-link js-scroll-trigger" href="#publication">Publication</a>
</li>
<li class="nav-item">
<a class="nav-link js-scroll-trigger" href="#awards">Honors & Awards</a>
</li>
<li class="nav-item">
<a class="nav-link js-scroll-trigger" href="#certifications">Certifications</a>
</li>
<li class="nav-item">
<a class="nav-link js-scroll-trigger" href="#education">Education</a>
</li>
<li class="nav-item">
<a class="nav-link js-scroll-trigger" href="#projects">Projects</a>
</li>
<li class="nav-item">
<a class="nav-link js-scroll-trigger" href="#coCurricularAndExtraCurricular">Co-Curricular & Extra-Curricular</a>
</li>
</ul>
</div>
</nav>
<div class="container-fluid p-0">
<section class="resume-section p-3 p-lg-5 d-flex d-column" id="about">
<div class="my-auto">
<h1 class="mb-0">Keshav Aditya
<span class="text-primary">R P</span>
</h1>
<div class="subheading mb-5">Software Development Engineer (SDE) : Full Stack Web Dev - Platform Independent Mobile App Dev | Machine Learning and Deep Learning <br>
<a href="mailto:keshavaditya26896@gmail.com">keshavaditya26896@gmail.com</a>
</div>
<div class="lead mb-5">
<p> Tenacious worker with a goal to maximise the breadth and depth of my knowledge in the field of Computer Science.
<br>Worked as a Software Developer Engineer (SDE) : Web App (ReactJs + Redux), Platform Independent Mobile App (Flutter) and also implemented back-end services in Ruby and Python for over a year to create production grade products.
<br>Used my free time to work as Freelance Data Analyst for a brief period of time, carry out Research in the field of Bioinformatics by leveraging Machine Learning and Deep Learning.
<br>I've also created several innovative MVP's (Minimum Viable Products) while participating at Hackathons.
<br>Apart from this I'm a basketball player who represented my University Team during my Undergraduate Program.
</p>
<p><strong>Core Skill Area :</strong></p>
<ul>
<li>Backend: Ruby on Rails,</li>
<li>General Purpose Languages: Python , C++</li>
<li>Front end: Dart ( FLutter ), HTML, CSS, Javascript, jQuery, ReactJs + Redux, Twitter Bootstrap</li>
<li>Database: MySQL</li>
<li>Version Control: Github, Bitbucket</li>
<li>Tools: VIM, Docker</li>
<li>OS: Ubuntu, MacOS, Windows</li>
<li>Cloud: DigitalOcean, AWS</li>
</ul>
</div>
<div class="social-icons">
<a href="https://www.linkedin.com/in/keshav-aditya-r-p-38aa35123/" target="_blank">
<i class="fab fa-linkedin-in"></i>
</a>
<a href="https://github.com/KeshavAdityaRP" target="_blank">
<i class="fab fa-github"></i>
</a>
<a href="https://stackoverflow.com/users/6326711/keshav-aditya-r-p" target="_blank">
<i class="fab fa-stack-overflow"></i>
</a>
</div>
</div>
</section>
<hr class="m-0">
<section class="resume-section p-3 p-lg-5 d-flex flex-column" id="experience">
<div class="my-auto">
<h2 class="mb-5">Experience</h2>
<div class="resume-item d-flex flex-column flex-md-row mb-5">
<div class="resume-content mr-auto">
<h3 class="mb-0">Freelance Data Analyst</h3>
<div class="subheading mb-3">
<a href="https://www.autonom8.com/" target="_blank" rel="nofollow">Autonom8 Inc.</a>
</div>
<p>Loan Approval Prediction :</p>
<ul>
<li>Used an initial Loan Approval Prediction data set and made it more suitable for practical circumstances seen in the real world by the means of Synthetic Data Generation.</li>
<li>Constructed various data visualisation using the python Seaborn Library to investigate if there were clear seperations between those with low and high credit history and check for other patterns. Experimented with MLP, Adaboost, Random Forest , KNN to find the best model to Predict Loan Approval. Ran PCA to reduce feature size and Heat Maps to check for correlations.</li>
<li>Finally made an MVP having a python flask API and a webpage that showed a dynamic Loan Tailored Graph (probability of getting loan Vs +/- values from entered loan amount ) for a user based on his required loan amount. The project was also Dockerized for the purpose of deployment.</li>
<li>Language & Frameworks: Python (Flask), Javascript</li>
<li>Source Code Management: Gitlabs</li>
</ul>
<p>Time Series Analysis</p>
<ul>
<li>I was involved in another project to perform Time Series Analysis on a large semi-structured DynamoDB data set to show how long it takes a complete the required documentation to submit a proposal requiring a Loan, handle bottle necks if any and also find the most efficient Loan Representatives. </li>
</ul>
</div>
<div class="resume-date text-md-right">
<span class="text-primary">June 2019 - July 2019</span>
</div>
</div>
<div class="resume-item d-flex flex-column flex-md-row mb-5">
<div class="resume-content mr-auto">
<h3 class="mb-0">Software Developer</h3>
<div class="subheading mb-3">
<a href="https://www.komparify.com/" target="_blank" rel="nofollow">Cheeni Labs Pvt Ltd, Komparify</a>
</div>
<p>
<strong>Task I</strong><br/>
To develop a Web Application to facilitate aggregation of streaming sources for Movies, TV Shows etc.
</p>
<ul>
<li>Language & Frameworks: Javascript (ReactJs)</li>
<li>Source Code Management: Bitbucket</li>
</ul>
<strong>Task II</strong><br/>
To develop a Platform Independent Mobile Application to facilitate aggregation of streaming sources for Movies, TV Shows etc.
</p>
<ul>
<li>Language & Frameworks: Dart (Flutter)</li>
<li>Source Code Management: Bitbucket</li>
</ul>
</div>
<div class="resume-date text-md-right">
<span class="text-primary">September 2018 - June 2019</span>
</div>
</div>
<div class="resume-item d-flex flex-column flex-md-row mb-5">
<div class="resume-content mr-auto">
<h3 class="mb-0">Software Developer Intern</h3>
<div class="subheading mb-3">
<a href="https://www.komparify.com/" target="_blank" rel="nofollow">Cheeni Labs Pvt Ltd, Komparify</a>
</div>
<p>Worked extensively on Movie Review Summarisation employing Text Classification.
Performed Part of Speech Tagging to extract Entities from Movie Reviews.
Involved in Web Scraping and Data Wrangling to construct the required Dataset.
</p>
<p>Benchmarking of Movie Review Summarisation :</p>
<ul>
<li>Experimented with various Models such as Glove, Word2Vec, and FastText</li>
<li>Trained the Models to pick the best sentence that resembles a summary sentences that a human would choose</li>
<li>Language & Frameworks: Python (NLTK), Ruby on Rails</li>
<li>Database: MySQL</li>
<li>Source Code Management: Bitbucket</li>
</ul>
<p>Also instrumental in</p>
<ul>
<li>Setting up Apache Thrift Services, AWS ECS Docker Services</li>
</ul>
</div>
<div class="resume-date text-md-right">
<span class="text-primary">June 2017 - August 2018</span>
</div>
</div>
<div class="resume-item d-flex flex-column flex-md-row mb-5">
<div class="resume-content mr-auto">
<h3 class="mb-0">Front-end Web Developer Intern</h3>
<div class="subheading mb-3">
<a href="https://www.saggezza.com/" target="_blank" rel="nofollow">Saggezza India Pvt LTD </a>
</div>
<p>
This was my first internship and during my brief period:
</p>
<ul>
<li>Responsible for Dynamic Report Generation using Angular Js.</li>
</ul>
</div>
<div class="resume-date text-md-right">
<span class="text-primary">June, 2016</span>
</div>
</div>
</div>
</section>
<hr class="m-0">
<section class="resume-section p-3 p-lg-5 d-flex flex-column" id="publication">
<div class="my-auto">
<h2 class="mb-5">Publication</h2>
<div class="resume-item d-flex flex-column flex-md-row mb-5">
<div class="resume-content mr-auto">
<h3 class="mb-0">PromoterPredict: sequence-based modelling of Escherichia coli σ70 promoter strength yields logarithmic dependence between promoter strength and sequence</h3>
<div class="subheading mb-3">
<a href="https://doi.org/10.7717/peerj.5862" target="_blank" rel="nofollow">Published Print</a> |
<a href="https://promoterpredict.com/" target="_blank" rel="nofollow">Web Application</a>
</div>
<p>
<strong>Bharanikumar R, Premkumar KAR, Palaniappan A. 2018. PromoterPredict: sequence-based modelling of Escherichia coli σ70 promoter strength yields logarithmic dependence between promoter strength and sequence. PeerJ 6:e5862 https://doi.org/10.7717/peerj.5862</strong><br>
We present PromoterPredict, a dynamic multiple regression approach to predict the strength of Escherichia coli promoters binding the σ70 factor of RNA polymerase.
σ70 promoters are ubiquitously used in recombinant DNA technology, but characterizing their strength is demanding in terms of both time and money.
Using a well-characterized set of promoters, we trained a multivariate linear regression model and found that the log of the promoter strength is significantly linearly associated with a weighted sum of the –10 and –35 sequence profile scores.
It was found that the two regions contributed almost equally to the promoter strength.
PromoterPredict accepts –10 and –35 hexamer sequences and returns the predicted promoter strength.
It is capable of dynamic learning from user-supplied data to refine the model construction and yield more confident estimates of promoter strength.
</p>
<ul>
<li>Language & Frameworks: Python (Biopython, Webpy), HTML, CSS, Javascript</li>
<li>Source Code Management: Github</li>
</ul>
</div>
</div>
</div>
</section>
<hr class="m-0">
<section class="resume-section p-3 p-lg-5 d-flex flex-column" id="awards">
<div class="my-auto">
<h2 class="mb-5">Honors & Awards</h2>
<div class="resume-item d-flex flex-column flex-md-row mb-5">
<div class="resume-content mr-auto">
<h3 class="mb-0">Smart India Hackathon, National-level Hackathon held by the Central Government of India</h3>
<div class="subheading mb-5">
RUNNERS-UP (Ministry of Empowerment of Persons with Disabilities)
</div>
<p>
<strong>Objective</strong>
<br/> Built a Platform Independent Mobile Application to track parking for persons with disabilities.
Real Time Parking lot status was tracked using sensors and CNN based image classification of occupied and available parking lots.
</p>
<ul>
<li>Language & Frameworks: Dart (Flutter), Python (Tensorflow)</li>
<li>Database: Firebase</li>
<li>Source Code Management: Github</li>
</ul>
</div>
<div class="resume-date text-md-right">
<span class="text-primary">March 2018</span>
</div>
</div>
<div class="resume-item d-flex flex-column flex-md-row mb-5">
<div class="resume-content mr-auto">
<h3 class="mb-0">iGEM 2017 Boston, Massachusetts </h3>
<div class="subheading mb-5">
SILVER MEDAL,
<a href="http://2017.igem.org/Team:SVCE_CHENNAI/Software" target="_blank" rel="nofollow">Application</a>
</div>
<p>
<strong>Objective</strong><br/>
Built a MLP to classify Riboswitches, was exposed to working with genome datasets during this time.
Also developed the website to showcase the work done by the whole team.
</p>
<p>Currently Continuing Research on Classification of Riboswitches to further performace and accuracy:</p>
<ul>
<li>Experimenting with Keras RNN and Hybrid Models such as a RNN coupled with intial layers of a CNN</li>
<li>Language & Frameworks: Python (Keras), HTML, CSS, Javascript</li>
<li>Datasets: FASTA and CSV Formats</li>
<li>Source Code Management: Github</li>
</ul>
</div>
<div class="resume-date text-md-right">
<span class="text-primary">November 2017</span>
</div>
</div>
<div class="resume-item d-flex flex-column flex-md-row mb-5">
<div class="resume-content mr-auto">
<h3 class="mb-0">SRM ENIGMA V2.0, National Level Hackathon Conducted By SRM University</h3>
<div class="subheading mb-5">
WINNERS
</div>
<p>
<strong>Objective</strong><br/>
Built an Application that aggregated various Government Welfare Schemes under one roof. It finds the best scheme for an individual based on certain field parameters.
</p>
<p>Reasons for choosing this Idea</p>
<ul>
<li>Highly dificult for the common man to browse through the internet to find the right governemnt scheme for himself.</li>
</ul>
</div>
<div class="resume-date text-md-right">
<span class="text-primary">April 2017</span>
</div>
</div>
<div class="resume-item d-flex flex-column flex-md-row mb-5">
<div class="resume-content mr-auto">
<h3 class="mb-0">Student Research Day, Sri Venkateswara College of Engineering</h3>
<div class="subheading mb-5">
RUNNERS-UP
</div>
<p>
<strong>Objective</strong><br/>
Used Multivariate Linear Regression to predict the strength of sigma seventy promoters.
</p>
<p>To accomplish this</p>
<ul>
<li>The biopython and sklearn python libraries were used for implementation.</li>
<li>Training and testing data set consisted of well characterisedanderson promoters designed at the anderson lab in UC Berkeley</li>
</ul>
</div>
<div class="resume-date text-md-right">
<span class="text-primary">March 2017</span>
</div>
</div>
</div>
</section>
<hr class="m-0">
<section class="resume-section p-3 p-lg-5 d-flex flex-column" id="certifications">
<div class="my-auto">
<h2 class="mb-5">Certifications</h2>
<div class="resume-item d-flex flex-column flex-md-row mb-5">
<div class="resume-content mr-auto">
<h3 class="mb-0">
<a href="https://www.coursera.org/account/accomplishments/specialization/certificate/G8ZXULU49MTN" target="_blank" rel="nofollow">Deep Learning specialization (5 Course Specialization)</a>
</h3>
<div class="subheading mb-3">deeplearning.ai</div>
<div class="subheading mb-3">
<a href="https://www.coursera.org/account/accomplishments/certificate/PYXVVMCYHZ7Y" target="_blank" rel="nofollow">Neural Networks and Deep Learning</a><br/>
<a href="https://www.coursera.org/account/accomplishments/certificate/TFAJ25ZNNSTB" target="_blank" rel="nofollow">Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization</a><br/>
<a href="https://www.coursera.org/account/accomplishments/certificate/DDV54KAKF9TS" target="_blank" rel="nofollow">Structuring Machine Learning Projects</a><br/>
<a href="https://www.coursera.org/account/accomplishments/certificate/4ZNWNHBULVSN" target="_blank" rel="nofollow">Convolutional Neural Networks</a><br/>
<a href="https://www.coursera.org/account/accomplishments/certificate/V48FKFY8V2UU" target="_blank" rel="nofollow">Sequence Models</a><br/>
</div>
<div>Adjunct Professor Andrew Ng, Computer Science<br/>
</div>
</div>
</div>
<div class="resume-item d-flex flex-column flex-md-row">
<div class="resume-content mr-auto">
<h3 class="mb-0">
<a href="https://www.coursera.org/account/accomplishments/certificate/H5U24EC3B4XQ" target="_blank" rel="nofollow">Machine Learning</a>
</h3>
<div class="subheading mb-3">Stanford | ONLINE</div>
<div>Associate Professor Andrew Ng, Computer Science Department, Stanford<br/>
</div>
<br/><br/>
<div>I would like to take this oppurtunity to thank Professor Andrew Ng, Head Teaching Assistant - Kian Katanforoosh & Teaching Assistant - Younes Bensouda Mourri, supporting cast at deeplearning.ai and Stanford for their efforts in making this a wondeful learning experience and providing us with us quality learning material.<br/>
</div>
</div>
</div>
</section>
<hr class="m-0">
<section class="resume-section p-3 p-lg-5 d-flex flex-column" id="education">
<div class="my-auto">
<h2 class="mb-5">Education</h2>
<div class="resume-item d-flex flex-column flex-md-row mb-5">
<div class="resume-content mr-auto">
<h3 class="mb-0">
<a href="https://www.stonybrook.edu" target="_blank" rel="nofollow">Stony Brook University, New York</a>
</h3>
<div class="subheading mb-3">M.S Computer Science</div>
<div>Courses : Distributed Systems, Theory of Database Systems, Foundation of Human Computer, Analysis of Algorithms<br/>
</div>
</div>
<div class="resume-date text-md-right">
<span class="text-primary">2019 - 2021</span>
</div>
</div>
<div class="resume-item d-flex flex-column flex-md-row mb-5">
<div class="resume-content mr-auto">
<h3 class="mb-0">
<a href="https://www.svce.ac.in/" target="_blank" rel="nofollow">Anna University,   Sri Venkateswara College of Engineering</a>
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<div class="subheading mb-3">B.E Computer Science and Engineering</div>
<div>CGPA: 7.82<br/>Courses : Software Engineering, Operating Systems, Machine Learning, Deep Learning, Computer Network
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<span class="text-primary">2014 - 2018</span>
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<a href="http://www.bvbchennai.org/" target="_blank" rel="nofollow">Bharatiya Vidya Bhavan's Rajaji Vidyashram</a>
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<br>
<p>Class 12 (2013 - 2014): 88%</p>
<p>Class 10 (2011 - 2012):8.8</p>
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<span class="text-primary">2001 - 2014</span>
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<section class="resume-section p-3 p-lg-5 d-flex flex-column" id="projects">
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<h2 class="mb-5">Projects</h2>
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<h3 class="mb-0">Riboswitche Classifier</h3>
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<a href="https://pypi.org/project/riboflow/" target="_blank" rel="nofollow">Python Pip Package</a>
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<p>
<strong>Objective</strong><br/>
Built a Bioinformatic tool using Machine Learning and Deep Learning models to classify Riboswitches without featureengineering the data.
Current version of the model (RNN) can classify 32 classes of Riboswitches with an accuracy of99% and favourable F1 Scor
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<ul>
<li>Language & Frameworks: Python (sklearn, Tensorflow - Keras)</li>
<li>Datasets: CSV Format</li>
<li>Source Code Management: Github</li>
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<span class="text-primary">2019</span>
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<h3 class="mb-0">Cluster NBA Draft Prospects</h3>
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<p>
<strong>Objective</strong><br/>
Currently building a model to cluster similar National Basketball Association (NBA) Draft prospects based on college and draft-combine statistics.
Looking to collect data related to players’ background and their mentality.
</p>
<ul>
<li>Language & Frameworks: Python (sklearn)</li>
<li>Datasets: CSV Format</li>
<li>Source Code Management: Github</li>
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<span class="text-primary">2018</span>
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<h3 class="mb-0">Smart Security System </h3>
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<p>
<strong>Objective</strong><br/>
To Build an economically feasible Smart Security System for my household which uses a Siamese Network for Face Recognition to run on a basic microcontroller.
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<ul>
<li>Language & Frameworks: Python (Keras)</li>
<li>Database: MYSQL</li>
<li>Source Code Management: Github</li>
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<span class="text-primary">2018</span>
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<h3 class="mb-0">Motorcycle Collision Control System</h3>
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<p>
<strong>Objective</strong><br/>
Worked on an Collision Control System which sends an alert message to an emergency contact with the GPS coordinates of the accident.
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<ul>
<li>Language & Frameworks: Python </li>
<li>Hardware: Raspberry Pi, GPS sensor, Accelerometer</li>
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<span class="text-primary">2017</span>
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<h3 class="mb-0">Movie Blockbuster Predictor (SAP Hackathon)</h3>
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<p>
<strong>Objective</strong><br/>
Built a MVP to predict if a movie would be a Blockbuster or not using a Deep Neural Network for classification.
Took into account the movie's "story" which proved to be an important parameter
</p>
<p>How would this is useful</p>
<ul>
<li>Useful to cutomers as they would know if it would be worth booking tickets for the first day show !</li>
<li>Help Cinema Theater Owners gauge which movies would more likely bring them the most returns on their investments</li>
</ul>
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<div class="resume-date text-md-right">
<span class="text-primary">2017</span>
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<h3 class="mb-0">Hatch Hackathon</h3>
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<p>
<strong>Objective</strong><br/>
Built a platform for doctors to interact with patients.Focusedon digital medical prescriptions which had multiple benefits,
viz. –Can ease congestion at the Hospital Pharmacy, can save paper used for prescriptions, and can have a digital trail of all medications prescribed.
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<div class="resume-date text-md-right">
<span class="text-primary">2017</span>
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<h3 class="mb-0">iGEM 2016 Website</h3>
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<a href="http://2016.igem.org/Team:SVCE_CHENNAI" target="_blank" rel="nofollow">Lactoshield Website</a>
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<div class="subheading mb-3">
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<p>
<strong>Objective</strong><br/>
To showcase the work put in by the iGEM Team of Sri Venkateswara College of Engineering
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<div class="resume-date text-md-right">
<span class="text-primary">2016</span>
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<h3 class="mb-0">IIT Madras Hackathon</h3>
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<p>
<strong>Objective</strong><br/>
This was my first hackathon. Built a e-commerce price comparison platform based on Web-Scraping
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<div class="resume-date text-md-right">
<span class="text-primary">2016</span>
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<section class="resume-section p-3 p-lg-5 d-flex flex-column" id="coCurricularAndExtraCurricular">
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<h2 class="mb-5">Co-Curricular & Extra-Curricular</h2>
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<h3 class="mb-0">Speaker for a Web Development Workshop </h3>
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<a href="https://github.com/KeshavAdityaRP/SvceAcmInterruptWorkshop" target="_blank" rel="nofollow">Capstone Project</a>
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<p>
<strong>Objective</strong><br/>
A Web Development workshop by Sri Venkateswara College of Engineering ACM Student Chapter during the Sri Venkateswara College of Engineering Computer Science Symposium Interrupt in collaboration with ACE.
The workshop focussed on the LAMP Stack.
The various students attending the workshop were asked to setup apache server, a database and were taught HTML, CSS, Javascript, Php, Sql through short crisp examples.
The workshop also touched various other concepts in a more theory oriented way such as Ajax for asynchronous Server Requests, hosting/deployment of a website and various other languages currently being used in the industry.
To put all what they had learnt to work a demo Resume Website was prepared to demonstrate the interaction between the Frontend and Backend of Web Development.
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<div class="resume-date text-md-right">
<span class="text-primary">September, 2017</span>
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<h3 class="mb-0">Executive Member SVCE ACM Chapters</h3>
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<p>
<strong>Objective</strong><br/>
Being a Member of the Web Team I was responsible for maintaining the ACM - SVCE Students Chapter website and developing new ones along with the team for all ACM - SVCE Students Chapter based Events.
APart from this I was also a Event Coordinator for a BioHackathon that took place at SVCE where ACM - SVCE Students Chapter and the iGEM Team collaborated together.
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<div class="resume-date text-md-right">
<span class="text-primary">2017 - 2018</span>
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<h3 class="mb-0">Sports Secretary, Student Association at SVCE </h3>
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<p>
<strong>Objective</strong><br/>
Being a Member of the Student Association at SVCE I was incharge of conducting various events at a intra-college and inter-college level.
Being the Sports Secretary I also took the collective opinon of issues regarding the betterment of sport infrastructure and Training.
On such instance was that there were only a few athletes who wanted to participate in the Best Physique Contest, due to this it was never included to our Annual Sports Day Festives.
I felt that the few who were diligent should not miss out on the oppurtunity and therefore urged for the inclusion of Best Physique and ensured it was.
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<ul>
<li>I played basketball for my college team throughout my undergraduate program and captained the team during my final year.</li>
<li>The team placed on numerous occasions.</li>
<li>I have availed the Sport Scholarship for a span of 3 years</li>
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<div class="resume-date text-md-right">
<span class="text-primary">2016 - 2017</span>
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