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<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>Personal Website</title>
<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.3/dist/css/bootstrap.min.css" rel="stylesheet" integrity="sha384-QWTKZyjpPEjISv5WaRU9OFeRpok6YctnYmDr5pNlyT2bRjXh0JMhjY6hW+ALEwIH" crossorigin="anonymous">
<style>
.jumbotron {
padding-top:75px;
padding-bottom:75px;
}
.navbar {
background-color: #092a1c;
}
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font-size: 1.5rem;
font-weight: bold;
padding: 10px 15px;
color: #ccc;
}
.navbar .bi {
width: 30px;
height: 30px; /* Increase the size of the icons */
}
.navbar .nav-link:hover {
color: #f8c102; /* Hover color */
}
</style>
<link rel="stylesheet" href="styles.css">
<link rel="shortcut icon" type="image/x-icon" href="images/DmLogofavicon.png" />
</head>
<body>
<nav class="navbar navbar-expand-lg">
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<a class="navbar-brand" href="index.html">
<img src="images/DmLogo.png" alt="Logo" height="60">
</a>
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<span class="navbar-toggler-icon"></span>
</button>
<div class="collapse navbar-collapse" id="navbarSupportedContent">
<ul class="navbar-nav me-auto mb-2 mb-lg-0">
<li class="nav-item me-4">
</li>
<li class="nav-item me-4">
<a class="nav-link" href="leadership.html">Leadership/Service Projects</a>
</li>
<li class="nav-item me-4">
<a class="nav-link" href="coding.html">Coding Projects</a>
</li>
<li class="nav-item me-4">
<a class="nav-link" href="music.html">Music</a>
</li>
</ul>
<form class="d-flex">
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<a href="https://www.linkedin.com/in/dhilen-mistry/" class="me-3">
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</svg>
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<main role="main">
<section class="jumbotron text-center">
<div class="container" style="padding-top:75px;padding-bottom:75px;">
<h1 class="jumbotron-heading">Coding Projects</h1>
<p class="lead">Reflection over the last few years</p>
</div>
</section>
<div class="section-divider"></div>
</div>
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<img class="card-img-top img-fluid" alt="Snowflake Logo" style="height: 225px; object-fit: contain" src="images/snowflake.png" data-holder-rendered="true">
<div class="card-body d-flex flex-column">
<h3>Automating Trade Reconciliation via Snowflake</h3>
<p class="card-text flex-grow-1">During my internship at WAO Fintech, I used SQL programming in Snowflake to create efficient data storage for trade reconciliation.</p>
<div class="d-flex justify-content-between align-items-center mt-auto">
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<button type="button" class="btn btn-primary" data-bs-toggle="modal" data-bs-target="#TradeRecon">
View
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<div class="card mb-4 box-shadow">
<img class="card-img-top img-fluid" alt="School Team Working Together" style="height: 225px; object-fit: contain" src="images/wharton-data-science.png" data-holder-rendered="true">
<div class="card-body d-flex flex-column">
<h3>Wharton Data Science Competition</h3>
<p class="card-text flex-grow-1">Analyzed artificial soccer league data. Using RStudio we predicted season outcomes using machine learning models that implement LASSO regression and builds an ELO ranking. Made it to semifinal round.</p>
<div class="d-flex justify-content-between align-items-center mt-auto">
<div class="btn-group">
<button type="button" class="btn btn-primary" data-bs-toggle="modal" data-bs-target="#WhartonDataScience">
View
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</div>
</div>
</div>
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<div class="col-md-4">
<div class="card mb-4 box-shadow">
<img class="card-img-top img-fluid" alt="Teaching Circuitry in School" style="height: 225px; object-fit: contain" src="images/TutoringLR.png" data-holder-rendered="true">
<div class="card-body d-flex flex-column">
<h3>Circuitry @ Elementary Schools</h3>
<p class="card-text flex-grow-1">Started a program at Lang Ranch Elemntary to teach basic circuitry, how to use chipboards, and their integrations with computers.</p>
<div class="d-flex justify-content-between align-items-center">
<div class="btn-group">
<button type="button" class="btn btn-primary" data-bs-toggle="modal" data-bs-target="#CS-Circuitry">
View
</button>
</div>
</div>
</div>
</div>
</div>
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<div class="card mb-4 box-shadow">
<img class="card-img-top img-fluid" alt="Oxford Team" style="height: 225px; object-fit: contain" src="images/EfficientFrontierGraph.png" data-holder-rendered="true">
<div class="card-body d-flex flex-column" style="margin-top: 0px;">
<h3>Oxford Stock Predictions/Risk Assessment</h3>
<p class="card-text flex-grow-1">Led programming and data analysis for a FinTech company, curating a stock portfolio using mean-variance optimization, the efficient frontier, and Monte Carlo simulations.</p>
<div class="d-flex justify-content-between align-items-center">
<div class="btn-group">
<button type="button" class="btn btn-primary" data-bs-toggle="modal" data-bs-target="#Oxford">
View
</button>
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</div>
</div>
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</div>
<div class="col-md-4">
<div class="card mb-4 box-shadow">
<img class="card-img-top img-fluid" alt="ACSL Logo" style="height: 225px; object-fit: contain" src="images/ACSL.png" data-holder-rendered="true">
<div class="card-body d-flex flex-column">
<h3>ACSL @ CS Club</h3>
<p class="card-text flex-grow-1">Led ACSL team 2024-2025. Created lessons and worksheets for the team to study. Went over topics such as Bit-String Flicking, LISP, Boolean Algebra, Data Structures, FSAs, and Regular Expressions.</p>
<div class="d-flex justify-content-between align-items-center">
<div class="btn-group">
<button type="button" class="btn btn-primary" data-bs-toggle="modal" data-bs-target="#ACSL">
View
</button>
</div>
</div>
</div>
</div>
</div>
<div class="col-md-4">
<div class="card mb-4 box-shadow">
<img class="card-img-top img-fluid" alt="After the AP Graph" style="height: 225px; object-fit: contain" src="images/AfterTheAP.png" data-holder-rendered="true">
<div class="card-body d-flex flex-column">
<h3>After-the-AP Data Science Competition</h3>
<p class="card-text flex-grow-1">Using Jupyter worksheets and Python, analyzed big data on student and college information to predict student loan default rates. </p>
<div class="d-flex justify-content-between align-items-center">
<div class="btn-group">
<button type="button" class="btn btn-primary" data-bs-toggle="modal" data-bs-target="#After-the-AP">
View
</button>
</div>
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</div>
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</main>
<div class="modal fade" id="TradeRecon" tabindex="-1" aria-labelledby="exampleModalLabel" aria-hidden="true">
<div class="modal-dialog modal-custom-size">
<div class="modal-content">
<div class="modal-header">
<h1 class="modal-title fs-5" id="exampleModalLabel">Automating Trade Reconciliation</h1>
<button type="button" class="btn-close" data-bs-dismiss="modal" aria-label="Close"></button>
</div>
<div class="modal-body">
<div class="row">
<!-- Left Column: Image -->
<div class="col-12 col-md-8">
<img src="images/snowflake.png" class="img-fluid" alt="Project Image">
</div>
<!-- Right Column: Text -->
<div class="col-12 col-md-4">
<p>Using SQL programming in Snowflake I created efficient data storage for trading reconciliation. Built API calls in an ELT format with Rivery and created a replicating table in Snowflake, which could pull live data reports. I eliminated manual storage of data as well as trade provider validation through this project. </p>
<p>I automated error detection utilizing Snowflake's cloud computing capabilities. I gained skills in SQL, API calling, data manipulation, and digital trading fundamentals.</p>
</div>
</div>
</div>
<div class="modal-footer">
<button type="button" class="btn btn-secondary" data-bs-dismiss="modal">Close</button>
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<div class="modal-dialog modal-custom-size">
<div class="modal-content">
<div class="modal-header">
<h1 class="modal-title fs-5" id="exampleModalLabel">Wharton Data Science Competition</h1>
<button type="button" class="btn-close" data-bs-dismiss="modal" aria-label="Close"></button>
</div>
<div class="modal-body">
<div class="row">
<!-- Left Column: Image -->
<div class="col-12 col-md-8">
<img src="images/wharton-data-science.png" class="img-fluid" alt="Project Image">
</div>
<!-- Right Column: Text -->
<div class="col-12 col-md-4">
<p>Analyzed artificial soccer league data in a team of five. Using RStudio we predicted season outcomes using machine learning models that implement LASSO regression and builds an ELO ranking. Made it to semifinal round. Gained skills in R, machine learning models, and predictive analysis of big data.
</p>
<p>Methodology</p>
<li>Analysis conducted in R Studio
</li>
<li>Separated factors into Home and Away data </li>
<li>
For each team, combined time of possession averages, penalty kicks in a foul variable, and probability of goals into singular variable
</li>
<li>Plotted each of these against a win ratio and were not statistically significant via a correlation coefficient test
</li>
<li>Home field advantage accounted for in Expected outcome calculation by adding 50 (value assigned arbitrarily)
</li>
<li>
Plot ELO difference against Home Result and when Home win has greatest average differential, equation is optimized
</li>
</div>
</div>
</div>
<div class="modal-footer">
<button type="button" class="btn btn-secondary" data-bs-dismiss="modal">Close</button>
</div>
</div>
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<div class="modal fade" id="CS-Circuitry" tabindex="-1" aria-labelledby="exampleModalLabel" aria-hidden="true">
<div class="modal-dialog modal-custom-size">
<div class="modal-content">
<div class="modal-header">
<h1 class="modal-title fs-5" id="exampleModalLabel">Circuitry @ Elementary Schools</h1>
<button type="button" class="btn-close" data-bs-dismiss="modal" aria-label="Close"></button>
</div>
<div class="modal-body">
<div class="row">
<!-- Left Column: Image -->
<div class="col-12 col-md-8">
<img src="images/TutoringLR.png" class="img-fluid" alt="Project Image">
</div>
<!-- Right Column: Text -->
<div class="col-12 col-md-4">
<p>Started a program at Lang Ranch Elementary to teach basic circuitry, how to use chipboards, and their integrations with computers. </p>
<p>Utilized breadboards, LEDs, switches, buttons, motion sensors, adafruit playground circuitboards, and MakeCode Adafruit. </p>
<p>Led and created lessons for robotics and computer science workshops with over 40 elementary and middle school students.</p>
</div>
</div>
</div>
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<button type="button" class="btn btn-secondary" data-bs-dismiss="modal">Close</button>
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<div class="modal-dialog modal-custom-size">
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<h1 class="modal-title fs-5" id="exampleModalLabel">Oxford Stock Predictions and Risk Assessment</h1>
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</div>
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<div class="row">
<!-- Left Column: Image -->
<div class="col-12 col-md-8">
<img src="images/MonteCarloSimulations.png" class="img-fluid" alt="Project Image">
</div>
<!-- Right Column: Text -->
<div class="col-12 col-md-4">
<p>Created a model FinTech company called Finantula, a investment banking company that analyzes stock performance and performs risk assessment.</p>
<p>Led programming and data analysis, curating a stock portfolio using mean-variance optimization, the efficient frontier, and Monte Carlo simulations. </p>
<p>Trained models on stock performance data from 5-10 years ago and tested on data from the past 5 years, finding that riskier portfolios generally perform better.</p>
</div>
</div>
</div>
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<button type="button" class="btn btn-secondary" data-bs-dismiss="modal">Close</button>
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<div class="modal-dialog modal-custom-size">
<div class="modal-content">
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<h1 class="modal-title fs-5" id="exampleModalLabel">ACSL @ CS Club</h1>
<button type="button" class="btn-close" data-bs-dismiss="modal" aria-label="Close"></button>
</div>
<div class="modal-body">
<div class="row">
<!-- Left Column: Image -->
<div class="col-12 col-md-8">
<img src="images/ACSL.png" class="img-fluid" alt="Project Image">
</div>
<!-- Right Column: Text -->
<div class="col-12 col-md-4">
<p>Led ACSL team 2024-2025. Created lessons and worksheets for the team to study. Went over topics such as Bit-String Flicking, LISP, Boolean Algebra, Data Structures, FSAs, and Regular Expressions</p>
<p></p>
</div>
</div>
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<h1 class="modal-title fs-5" id="exampleModalLabel">After-the-AP Data Science Competition</h1>
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<div class="modal-body">
<div class="row">
<!-- Left Column: Image -->
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</div>
<!-- Right Column: Text -->
<div class="col-12 col-md-4">
<p>Using Jupyter worksheets and Python, analyzed big data on student and college information to predict student loan default rates. </p>
<p>Leveraging data from the U.S. Department of Education’s College Scorecard and IPEDS portals, I filtered, analyzed, modeled, visualized, and communicated complex data on U.S. colleges and universities to conquer the college debt question, maximizing financial return and minimizing the likelihood of defaulting on student loans.</p>
<p>Using multiple inputs, around 5-7, for regression, I found a R2 value around 0.6, placing as a runner-up. </p>
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