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<html lang="en">
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js"></script>
<head>
<title>Kaushik Dhola</title>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width,height=device-height initial-scale=1,minimum-scale=1.0, shrink-to-fit=no">
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<link rel="stylesheet" href="css/style.css">
<link href="https://fonts.googleapis.com/css?family=Nunito+Sans:200,300,400,700" rel="stylesheet">
</head>
<body data-spy="scroll" data-target="#pb-navbar" data-offset="200">
<nav class="navbar navbar-expand-lg site-navbar navbar-light bg-light" id="pb-navbar">
<div class="container">
<button class="navbar-toggler" type="button" data-toggle="collapse" data-target="#navbarsExample09" aria-controls="navbarsExample09" aria-expanded="false" aria-label="Toggle navigation">
<span class="navbar-toggler-icon"></span>
</button>
<div class="collapse navbar-collapse justify-content-md-center" id="navbarsExample09">
<ul class="navbar-nav">
<li class="nav-item"><a class="nav-link" href="#section-home"><div class="hover">Home</div></a></li>
<li class="nav-item"><a class="nav-link" href="#section-portfolio"><div class="hover">Experience</div></a></li>
<li class="nav-item"><a class="nav-link" href="#section-resume"><div class="hover">Projects</div></a></li>
<li class="nav-item"><a class="nav-link" href="#section-publication"><div class="hover">Publication</div></a></li>
<li class="nav-item"><a class="nav-link" href="#section-contact"><div class="hover">Contact</div></a></li>
</ul>
</div>
</div>
</nav>
<section class="site-hero" style="background-image: url(images/image_11.jpg);" id="section-home" data-stellar-background-ratio="0.5">
<div class="container">
<div class="row intro-text align-items-center justify-content-center">
<div class="col-md-10 text-center pt-5">
<h1 class="site-heading site-animate">Hello, I'm<strong class="d-block">Kaushik Dhola</strong></h1>
<h2>I am <span class="typed"></span></h2>
<strong class="d-block text-white text-uppercase letter-spacing">Welcome to my Portfolio</strong>
</div>
</div>
</div>
</section>
<section class="site-section" id="section-portfolio">
<div class="container">
<div class="section-heading text-center col-md-12">
<h2>Professional <strong>Experience</strong></h2>
</div>
<div class="col-md-12">
<div class="resume-item mb-4">
<span class="date"><span class="icon-calendar"></span> Sep 2021 - Present</span>
<h3><b>Data Scientist - Wipro-Holmes AI Solutions</b></h3>
<span class="school"><b><div class="badge badge-success" >Wipro Limited, Bangalore, India</div></b></span>
<div class="my-style">
<ul style="size=10px; text-align: justify;
text-justify: inter-word;"><li><p>Designed an algorithm with 50+ pipelines to process the entire census process for Canada Census (HR) Automation project which
reduced the manual processing time from 1-2 days to 2-3 Minutes with well over 100 per cent accuracy.</li>
<li>Conducted research and implemented AI applications, designed solution scoping and architecture, translated
analysis into actionable recommendations, consulted client-facing teams on data science use cases and consistently
prioritized providing an optimized solution.</li>
<li>Implemented various data analytics and AI applications for cross-industry including prediction models and data pipeline implementation.</li>
<li>Deployed various AI applications including Automation Systems, clustering objects like images into different categories and
pre-processing of complex datasets based on specified conditions.</li>
<li>Strategized and executed the development of data products for cross-industry clients to address gaps and challenges
in their data journeys.</li>
<li>Utilize specific business knowledge and general business acumen to support effective IT engagement.</li></ul>
</div>
</div>
<div class="resume-item mb-4">
<span class="date"><span class="icon-calendar"></span> Jan 2021 - Feb 2021</span>
<h3><b>Artificial Intelligence Intern</b></h3>
<span class="school"><b><div class="badge badge-success" >Widhya, Hyderabad, India</div></b></span>
<div class="my-style">
<ul style="size=10px; text-align: justify;
text-justify: inter-word;"><li><p>Worked on Natural Language Processing project, extracted data from the CVs and Resume and Clustered them into
different categories.</li>
<li>Visualized data from 6 different Uber Datasets and for the prediction with ANN and Time Series Forecasting.</li>
<li>Built movie recommendation system by performing Text Mining, Feature Selection (user similarity and movie
similarity) and Matrix Factorization.</li>
<li>Implemented a forecasting system to predict flight delays trained and validated on over 5.8 million data using Decision Tree Classifier.</li>
</div>
</div>
<div class="resume-item mb-4">
<span class="date"><span class="icon-calendar"></span> Oct 2020 - Nov 2020</span>
<h3><b>Data Analyst Intern</b></h3>
<span class="school"><b><div class="badge badge-success" >MedTourEasy, Delhi, India</div></b></span>
<ul style="size=10px; text-align: justify;
text-justify: inter-word;">
<li>Experienced the hands-on working of a Data Analyst Professional and Analysed the data insights of a set of data to
perform Feature Selection.</li>
<li>Worked on project titled ” Predict Blood Donations”” which resolved the issue of reaching out to the most promising donors and
elevated the ratio of blood donors by 30%.</li>
<li>Completed fourteen domain-related training courses including Data Visualization, Classification and Regression Algorithms,
Principal Component Analysis, and Text Mining from Coursera.</li></ul>
</div>
</div>
</div>
</section>
<!-- .section -->
<section class="site-section " id="section-resume">
<div class="container">
<div class="row">
<div class="section-heading text-center col-md-12">
<h2>Academic <strong>Projects</strong></h2>
</div>
</div>
<div class="filters">
<ul padding="center">
<b><li class="active" data-filter="*"><div class="hover">All</div></li></b>
<b><li data-filter=".packaging"><div class="hover">Artificial Intelligence</div></li></b>
<b><li data-filter=".mockup"><div class="hover">Android Application</div></li></b>
<b><li data-filter=".typography"><div class="hover">Web Application</div></li></b>
</ul>
</div>
<div class="filters-content">
<div class="row grid">
<div class="single-portfolio col-sm-4 all packaging">
<div class="relative">
<div class="thumb">
<div class="overlay overlay-bg"></div>
<img class="image img-fluid" src="images/Helmet.jpg" alt="">
</div>
</div>
<div class="p-inner">
<a href="#popup6" id="details1">
<h4><b><div class="hover">Helmet Violation Spotter</div></b></h4></a>
<div class="cat">Artificial Intelligence</div>
<div id="popup6" class="popup-container popup-style-2">
<div class="popup-content">
<a href="#section-resume" class="close">×</a>
<b><h3 style="color:#BAC964;font-family:'Times New Roman';font-weight: bold;text-align: left;">Helmet Violation Spotter</h3></b>
<p>The aim of this system is to automate helmet violation detection to reduce manual human involvement and to deduct the extensive
utilization of resources for the government.<br><br>The ultimate model is fine-tuned and integrated with three distict AI models together including the Computer Vision models to fetch the coordinates of the whole
vehicle and the identification number, and an OCR model to extract the textual information from the provided coordinates.<br>
<div class="badge badge-primary" style="font-size:0.9rem;">Python</div>
<div class="badge badge-primary" style="font-size:0.9rem;">YOLOv7</div>
<div class="badge badge-primary" style="font-size:0.9rem;">YOLOv4-tiny</div>
<div class="badge badge-primary" style="font-size:0.9rem;">HTML/CSS</div>
<div class="badge badge-primary" style="font-size:0.9rem;">Paddle-OCR</div>
<div class="badge badge-primary" style="font-size:0.9rem;">Computer Vision</div>
<div class="badge badge-primary" style="font-size:0.9rem; margin-top:5px">Object Tracking</div>
</p>
</div>
</div>
</div>
</div>
<div class="single-portfolio col-sm-4 all packaging">
<div class="relative">
<div class="thumb">
<div class="overlay overlay-bg"></div>
<img class="image img-fluid" src="images/question.jpg" alt="">
</div>
</div>
<div class="p-inner">
<a href="#popup1" id="details2">
<h4><b><div class="hover">AI-based Question Generator</div></b></h4></a>
<div class="cat">Artificial Intelligence</div>
<div id="popup1" class="popup-container popup-style-2">
<div class="popup-content">
<a href="#section-resume" class="close">×</a>
<b><h3 style="color:#BAC964;font-weight: bold;font-family:'Times New Roman';text-align: left;">AI-based Question Generator</h3></b>
<p>The project aimed at creating legitimate and fluent questions based on the provided passage and the intended
answers. <br><br>The system provides features such as automatically extracting text from a photo for evaluation purposes,
enabling the types of questions to be selected and producing a number of questions including MCQs, Boolean, short
questions.<br>
<div class="badge badge-primary" style="font-size:0.9rem;">Python</div>
<div class="badge badge-primary" style="font-size:0.9rem;">JavaScript</div>
<div class="badge badge-primary" style="font-size:0.9rem;">Flask</div>
<div class="badge badge-primary" style="font-size:0.9rem;">HTML/CSS</div>
<div class="badge badge-primary" style="font-size:0.9rem;">NLP</div>
<div class="badge badge-primary" style="font-size:0.9rem;">T5-Transformer</div>
<div class="badge badge-primary" style="font-size:0.9rem;">Text Mining</div>
</p>
</div>
</div>
</div>
</div>
<div class="single-portfolio col-sm-4 all packaging">
<div class="relative">
<div class="thumb">
<div class="overlay-bg"></div>
<img class="image img-fluid" src="images/handwritten.jpg" alt="">
</div>
</div>
<div class="p-inner">
<a href="#popup2" id="details3">
<h4><b><div class="hover">Handwritten Text Recognition for Prediction of Customer Feedback</div></b></h4></a>
<div class="cat">Artificial Intelligence</div>
<div id="popup2" class="popup-container popup-style-2">
<div class="popup-content">
<a href="#section-resume" class="close">×</a>
<b><h3 style="color:#BAC964;font-weight: bold;font-family:'Times New Roman';text-align: left;">Handwritten Text Recognition for Prediction of Customer Feedback</h3></b>
<p>A Web-Based Machine Learning Pattern Recognition and Sentiment Analysis system to recognize handwritten
images of the feedback forms and perform the image-to-text conversion.<br><br> The system was implemented with 93.13%
accuracy on over 1,28,000 customer reviews in the training dataset and a validation set of 32,000 customer reviews.<br>
<div class="badge badge-primary" style="font-size:0.9rem;">Python</div>
<div class="badge badge-primary" style="font-size:0.9rem;">Microsoft Azure Cognitive Services</div>
<div class="badge badge-primary" style="font-size:0.9rem;">Flask</div>
<div class="badge badge-primary" style="font-size:0.9rem;">Support Vector Machine</div><br>
<div class="badge badge-primary" style="font-size:0.9rem;margin-top:5px"">Multinomial naive bayes </div>
</p>
</div>
</div>
</div>
</div>
<div class="single-portfolio col-sm-4 all packaging">
<div class="relative">
<div class="thumb">
<div class="overlay overlay-bg"></div>
<img class="image img-fluid" src="images/decision-tree-examples.jpg" alt="">
</div>
</div>
<div class="p-inner">
<a href="#popup3" id="details4">
<h4><b><div class="hover">Bank Term Deposit Classification</div></b></h4></a>
<div class="cat">Artificial Intelligence</div>
<div id="popup3" class="popup-container popup-style-2">
<div class="popup-content">
<a href="#section-resume" class="close">×</a>
<b><h3 style="color:#BAC964;font-weight: bold;font-family:'Times New Roman';text-align: left;">Bank Term Deposit Classification</h3></b>
<p>The Classification goal was to predict if the client would or would not subscribe to the bank term deposit in the
future by applying Machine-Learning Algorithms. <br><br> The project is comprised of various crucial tasks for a superior ML
model including Data Pre-processing, Exploratory Data Analysis and Examination of Evaluation metrics for
performance measurement.<br>
<div class="badge badge-primary" style="font-size:0.9rem;">Python</div>
<div class="badge badge-primary" style="font-size:0.9rem;">Logistic Regression</div>
<div class="badge badge-primary" style="font-size:0.9rem;">SVM</div>
<div class="badge badge-primary" style="font-size:0.9rem;">Decision Tree</div>
</p>
</div>
</div>
</div>
</div>
<div class="single-portfolio col-sm-4 all mockup">
<div class="relative">
<div class="thumb">
<div class="overlay overlay-bg"></div>
<img class="image img-fluid" src="images/anti-theft.jpg" alt="">
</div>
</div>
<div class="p-inner">
<a href="#popup4" id="details5">
<h4><b><div class="hover">Anti-Theft Security</div></b></h4></a>
<div class="cat">Android Application</div>
<div id="popup4" class="popup-container popup-style-2">
<div class="popup-content">
<a href="#section-resume" class="close">×</a>
<b><h3 style="color:#BAC964;font-weight: bold;font-family:'Times New Roman';text-align: left;">Anti-Theft Security</h3></b>
<p> ATS is an Android application which enables the user to find the stolen phone, it operates in the context without the
person in connection.<br><br> The application works by storing the IMSI number and continuously checking for a SIM
Ejection. Upon the detection of a suspicious SIM Ejection, it will ultimately send an SMS to the alternative number
with an exact location. <br><br>This project has several other features like Data-Wipeout, Virtual control over a device, the
option to hide an app, etc.<br>
<div class="badge badge-primary" style="font-size:0.9rem;">Java</div>
<div class="badge badge-primary" style="font-size:0.9rem;">Android</div>
<div class="badge badge-primary" style="font-size:0.9rem;">SQLite Database</div>
<div class="badge badge-primary" style="font-size:0.9rem;">Map Intents</div>
</p>
</div>
</div>
</div>
</div>
<div class="single-portfolio col-sm-4 all typography">
<div class="relative">
<div class="thumb">
<div class="overlay overlay-bg"></div>
<img class="image img-fluid" src="images/Nptice bourd.jpeg" alt="">
</div>
</div>
<div class="p-inner">
<a href="#popup5" id="details">
<h4><b><div class="hover">Notifiey</div></b></h4></a>
<div class="cat">Web Application</div>
<div id="popup5" class="popup-container popup-style-2">
<div class="popup-content">
<a href="#section-resume" class="close">×</a>
<b><h3 style="color:#BAC964;font-weight: bold;font-family:'Times New Roman';text-align: left;">Notifiey</h3></b>
<p>Notifiey is a web application that provides an interactive platform where faculty members can leave the updates,
events, public announcements, etc. <br><br>This system helped students to get notified about the latest updates on the
upcoming events in the college while making it easy to share for the faculty members.<br><div class="badge badge-primary" style="font-size:0.9rem;">Php</div>
<div class="badge badge-primary" style="font-size:0.9rem;"> JavaScript</div>
<div class="badge badge-primary" style="font-size:0.9rem;"> HTML/CSS</div>
<div class="badge badge-primary" style="font-size:0.9rem;">SQL Database</div></p>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</section>
</section> <!-- .section -->
<section class="site-section " id="section-publication">
<div class="container">
<div class="row">
<div class="col-md-12 mb-0">
<div class="section-heading text-center">
<h2>International <strong>Publication</strong></h2>
</div>
</div>
<div class="col-md-12">
<div class="resume-item mb-4">
<span class="date"><span class="icon-calendar"></span> May 2021 </span>
<h3><b><a href="https://ieeexplore.ieee.org/document/9377070" title="https://ieeexplore.ieee.org/document/9377070"><div class="hover-color">A Comparative Evaluation of Traditional Machine Learning and Deep Learning Classification Techniques for Sentiment Analysis </div></a></b></h3>
<span class="school"><b>IEEE 11th International Conference on Cloud Computing, Data Science & Engineering, Confluence 2021, Amity University | Noida, India</b></span>
<div class="my-style">
<ul><li><p style="text-align: justify;
text-justify: inter-word;">Trained and Tested a Model on 1.6 million sentiments using various Machine Learning and Deep Learning Algorithms including
Support Vector Machine (SVM), Multinomial Naive Bayes Classifier, Bidirectional Encoder Representations from Transformers,
and Long Short-Term Memory.</li></ul>
</div>
</div>
</div>
</div>
</div>
</section>
<section class="site-section" id="section-contact">
<div class="container">
<div class="row">
<div class="col-md-12 mb-5">
<div class="section-heading text-center">
<h2>Get <strong>In Touch</strong></h2>
</div>
</div>
<div class="col-md-7 mb-5 mb-md-0">
<form action="" class="site-form">
<h3 class="mb-5">Get In Touch</h3>
<div class="form-group">
<input type="text" class="form-control px-3 py-4" placeholder="Your Name">
</div>
<div class="form-group">
<input type="email" class="form-control px-3 py-4" placeholder="Your Email">
</div>
<div class="form-group">
<input type="email" class="form-control px-3 py-4" placeholder="Your Phone">
</div>
<div class="form-group mb-5">
<textarea class="form-control px-3 py-4"cols="30" rows="10" placeholder="Write a Message"></textarea>
</div>
<div class="form-group">
<input type="submit" class="btn btn-primary px-4 py-3" value="Send Message">
</div>
</form>
</div>
<div class="col-md-5 pl-md-5">
<h3 class="mb-5">My Contact Details</h3>
<ul class="site-contact-details">
<li>
<span class="text-uppercase"> <i class="icon-mail text-danger" aria-hidden="true" ></i> Email</span>
<a style="color:#FFFFFF66" href = "mailto: kaushik.dhola6@gmail.com"><div class="hover-color">kaushik.dhola6@gmail.com</div></a>
</li>
<li>
<span class="text-uppercase"><i class="icon-address-book text-danger" aria-hidden="true" ></i> Phone</span>
<a style="color:#FFFFFF66" href = "tel:+918155860042"><div class="hover-color">+91 81558 60042</div></a>
</li>
<li>
<span class="text-uppercase"><i class="icon-address text-danger" aria-hidden="true" ></i> Location</span>
<a style="color:#FFFFFF66" href = "https://goo.gl/maps/RTq99Hbzqy8dPD2j8"><div class="hover-color">Surat, India</div><br>
</li>
</ul>
</div>
</div>
</div>
</section>
<footer class="site-footer">
<div class="container">
<div class="row mb-5">
<p class="col-12 text-center">
Want to connect? ping me on my social networks <i class="icon-point-down text-danger" aria-hidden="true" > </i> <i class="icon-emoji-happy text-danger" aria-hidden="true" > </i>Thank you!
</p>
</div>
<div class="row mb-5">
<div class="col-md-12 text-center">
<p>
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