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<!DOCTYPE HTML>
<!--
Hyperspace by HTML5 UP
html5up.net | @ajlkn
Free for personal and commercial use under the CCA 3.0 license (html5up.net/license)
-->
<html>
<head>
<title>Pooja Yadav</title>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1, user-scalable=no" />
<link rel="stylesheet" href="assets/css/main.css" />
<noscript><link rel="stylesheet" href="assets/css/noscript.css" /></noscript>
</head>
<body class="is-preload">
<!-- Sidebar -->
<section id="sidebar">
<div class="inner">
<nav>
<ul>
<li><a href="#intro">About Me</a></li>
<li><a href="#one">Academics & Work Experiences</a></li>
<li><a href="#two">Projects</a></li>
<li><a href="#three">Skills & Organizations</a></li>
<li><a href="#four">Get in touch</a></li>
</ul>
</nav>
</div>
</section>
<!-- Wrapper -->
<div id="wrapper">
<!-- Intro -->
<section id="intro" class="wrapper style1 fullscreen fade-up">
<IMG class="displayed" src="images/profile1.jpeg" height="400" width="380">
<div class="inner">
<h1>Pooja Yadav</h1>
<p style = "font-family:Times New Roman" align = "justify"> Watching Sundar Pichai talk about ‘Why Machine Learning is the future’ gave me a feeling of consciousness, back in 2017.
'Better computational power and access to a lot of relevant data are the two main causes of the progress in ML' he said.
I've always felt this branch of computer science to be exciting, be it data analysis, or data visualization and emphasizing it with ML algorithms
or data storage. My immediate goal after masters is to become a Data Scientist. In the foreseable future, I see myself becoming a Data Scientist
as I am highly inspired by D J Patil, Former Chief Data Scientist at the White House, first ever chief data scientist appointed by US government.
His pointers about striving for curiosity, team building, social and local problem solving always inspire me to crave for becoming a CDS.
I am a motivated and a versatile engineer with demonstrated experience in Machine Learning and Data Analysis domain.
Experienced in data extraction, developing ML algorithms and developing final predictive model.
I am a strong problem solver, have excellent communication skills and dedicated to exceed goals and expectations.
</p>
</div>
</section>
<!-- One -->
<section id="one" class="wrapper style2 spotlights">
<section>
<!-- <a href="#" class="image"><img src="images/pic01.jpg" alt="" data-position="center center" /></a> -->
<div class="content">
<div class="inner">
<h2>Academics</h2>
<h3>MASTER OF SCIENCE (MS)</h3>
<p>San Diego State University, Computer Science<br>
Aug 2023</p>
<h4><u>Courses</u></h4>
<p> Advanced Algorithms (CS-660), Machine Learning (CS-549), Big Data Analytics (CS-649)
Principles and Techniques of Data Science (CS-577), Advanced Object Oriented Programming (CS-635),
Research (CS-797)
</p>
<h3>BACHELOR OF ENGINEERING (BE)</h3>
<p>University of Mumbai, Computer Engineering<br>
June 2019<br>
</p>
<h4><u>Courses</u></h4>
<p> Data Structures & Algorithms, Operations Research, Data Mining and Warehousing,
Image Processing, Computer Organization & Architecture, Object Oriented Programming,
Computer Graphics, Theory of computer Science, Database Management System,
Software Engineering, Computer Networks, Design and Analysis Algorithm
</p>
</div>
</div>
</section>
<section>
<!-- <a href="#" class="image"><img src="images/pic02.jpg" alt="" data-position="top center" /></a> -->
<div class="content">
<div class="inner">
<h2>Work Experience</h2>
<!-- <p>Internships give the first hand exposure working in the real world. It allows us to implement skill, knowlegde and
the theoretical practice learnt before. I beleive that it is a learning curve with little experience of the professional world.
</p> -->
<ul class="actions">
<li><a href="generic.html" class="button">Learn more</a></li>
</ul>
</div>
</div>
</section>
</section>
<!-- Two -->
<section id="two" class="wrapper style3 fade-up">
<div class="inner">
<h2>Projects</h2>
<p>I am of the opinion that hands on coding or projects are the basic literacy in the digital world.
It is really important for a programmer to understand and be able to work with the technology around him or her.
I have been coding since my engineering and below are a few examples to demonstrate my knowlegde, creativity, math and confidence.
</p>
<div class="features">
<section>
<!-- <span class="icon solid major fa-code"></span> -->
<h3>Ethio Hydro</h3>
<p align = "justify">Developed a web application to analyse and monitor 67 million rows of rain and temperature Time Series geospatial data.
Implemented parallel processing to speed up the data manipulation and cleaning process by 80%. Extracted location and visualized geospatial data.
Created bi-directional communication on a folium map using haversine distance to cut down the latitude-longitude search time by 20% and
deployed the application with docker container.
Technologies used: Streamlit, Python, Pandas, NumPy, geoPy, AWS, Swifter, Pandarallel, Plotly, Altair Charts, and Folium
</p>
<ul class="actions">
<li><a href="https://github.com/pooja97/ethio_hydro" class="button scrolly">Learn more</a></li>
</ul>
</section>
<section>
<!-- <span class="icon solid major fa-cog"></span> -->
<h3>New York City Airbnb Rent prediction</h3>
<p align = "justify">Worked with Airbnb historical data from Kaggle to predict it's rent in the NewYork city using Multiple Linear Regression with an accuracy of 55%,
performed Exploratory Data Analysis using Pandas, NumPy, and Seaborn. Applied XGBoost to improve the model accuracy from 55% to 85%
Encoded different categorical data using one-hot encoding and treated missing values using mean imputation
</p>
<ul class="actions">
<li><a href="https://github.com/pooja97/Airbnb" class="button scrolly">Learn more</a></li>
</ul>
</section>
<section>
<!-- <span class="icon solid major fa-desktop"></span> -->
<h3>Titanic Survival Prediction</h3>
<p align = "justify"> Explored the Titanic disaster dataset from Kaggle and applied Logistic Regression to predict the survival of the Titanic passengers
performed Feature Selection, Exploratory Data Analysis, and mean imputation using Pandas and NumPy implemented one-hot encoding, K-fold cross-validation, and Hyperparameter Tuning improving the model accuracy from 62% to 77%
</p>
<ul class="actions">
<li><a href="https://github.com/pooja97/titanic" class="button scrolly">Learn more</a></li>
</ul>
</section>
<section>
<!-- <span class="icon solid major fa-link"></span> -->
<h3>Word Processor</h3>
<p align = "justify">Implemented a Word Processor using Flyweight System design pattern in python3,
that given a unicode code point returns the Flyweight character object for the character and font</p>
<ul class="actions">
<li><a href="https://github.com/pooja97/Word_Processor" class="button scrolly">Learn more</a></li>
</ul>
</section>
<section>
<!-- <span class="icon major fa-gem"></span> -->
<h3>In-Memory Database</h3>
<p align = "justify">Explored how to implement In-Memory database in python3 using Command and Memento system design pattern which helped me understand
System design pattern in depth.
</p>
<ul class="actions">
<li><a href="https://github.com/pooja97/in-memory-db" class="button scrolly">Learn more</a></li>
</ul>
</section>
<section>
<!-- <span class="icon major fa-gem"></span> -->
<h3>Uber Data Analytics</h3>
<p align = "justify">
Modeled and Implemented an ETL pipeline utilizing Python, Google Compute Engine, and mage-ai to efficiently extract, transform, and load Uber data into BigQuery.
Created an interactive Looker Studio dashboard to perform an in-depth analysis of Uber data based on different parameters.
Implemented filters and drill-down capabilities, enhancing user experience and enabling rapid trend identification and opportunities for optimization
</p>
<ul class="actions">
<li><a href="https://github.com/pooja97/in-memory-db" class="button scrolly">Learn more</a></li>
</ul>
</section>
</div>
<ul class="actions">
<li><a href="https://github.com/pooja97?tab=repositories" class="button">Learn more</a></li>
</ul>
</div>
</section>
<!-- Three -->
<section id="three" class="wrapper style2 spotlights">
<section>
<!-- <a href="#" class="image"><img src="images/pic02.jpg" alt="" data-position="top center" /></a> -->
<div class="content">
<div class="inner">
<h2>Skills & Organizations</h2>
<p>Skills are a important aspect of a person's career as they define your ability in your domain. Throughout my academic career, I have joined a lot of labs and organizations
for improving my self confidence, public speaking and networking. Technical as well as Non- technical knowledge are important when
it comes to thriving in the society.
</p>
<ul class="actions">
<li><a href="elements.html" class="button">Learn more</a></li>
</ul>
</div>
</div>
</section>
<!-- Four -->
<section id="four" class="wrapper style1 fade-up">
<div class="inner">
<h2>Get in touch</h2>
<p>How about getting connected?
<br>You can contact me anywhere on the links provided below.</br></p>
<div class="split style1">
<section>
<ul class="contact">
<li>
<h3>Email</h3>
<a href="mailto: poojayadav2124@gmail.com">poojayadav2124@gmail.com</a><br>
<a href="mailto: pyadav5723@sdsu.edu">pyadav5723@sdsu.edu</a>
</li>
<li>
<h3>Social</h3>
<ul class="icons">
<li><a href="https://github.com/pooja97" class="icon brands fa-github"><span class="label">GitHub</span></a></li>
<li><a href="https://www.linkedin.com/in/poojayadav20/" class="icon brands fa-linkedin-in"><span class="label">LinkedIn</span></a></li>
</ul>
</li>
</ul>
</section>
</div>
</div>
</section>
</div>
<!-- Footer -->
<footer id="footer" class="wrapper style1-alt">
<div class="inner">
<ul class="menu">
<li>© Pooja Yadav</li><li>2023</li>
</ul>
</div>
</footer>
<!-- Scripts -->
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