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<!-- <!DOCTYPE html> -->
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<img src="/assets/img/passport-new.jpeg" class="circle img-responsive profile-pic" alt="avatar">
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Raj</a><span class="black-text">Software Developer</span>
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class="mdi-action-description small"></i><span>Research Paper</span></a>
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class="mdi-action-assessment small"></i><span>Skills</span></a>
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<div class="content section-padding valign" style="margin-left: 10%; margin-top: 50px;">
<div class="caption">
<h2>Hi, I'm <span class="teal">Anand Raj.</span></h2>
<h5 style="color:#fff">A <span class="typing" style="font-weight: 300; color:#004d40"></span></h5>
<!-- <h5 style="color:#00796b">A <span class="typing" style="font-weight: 300; color:#fff"></span></h5> -->
<h5>Experienced and focused engineer with good coding skills and a
background in professional software engineering. Driven by a
passion for data and a strong desire to explore machine learning
and sophisticated analytics, I aim to contribute to the company's
advancement while also fostering personal growth.</h5>
</div>
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<a href="#about" class="readme">Read More</a>
<a href="#contact" class="contactme">Contact Me</a>
</div>
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<h3 class="page-title white-text teal">About</h3>
<div class="container flow-text">
<!-- <blockquote>
<h2>
A Software Developer with a passion for Backend Development and Artificial Intelligence.
</h2>
</blockquote> -->
<p>
I am currently pursuing a graduate degree in Data Science at George Washington University. My interests lie in problem-solving
and coding, and I consistently aim to deliver my best in every task. Throughout my bachelor's degree, I gained hands-on
experience with various technologies such as Python, Flask, SQL, MongoDB, Neo4j, and C++. With 21 months of professional
work experience, I have honed my skills in Python and C. My enthusiasm lies in the development of intricate applications that address
real-world issues, impacting a substantial user base.
</p>
<p>
<ul>
<li><b>Languages:</b> Python, R, C</li>
<li><b>Databases:</b> SQL, MongoDB, Neo4j</li>
<li><b>Visualization tools:</b> Tableau</li>
<li><b>Processing Framework:</b> RStudio, Jupyter Notebook, Spyder, VS
Code.</li>
<li><b>Machine Learning Algorithms:</b> Linear/Logistic/Lasso/Ridge
Regression, Decision Tree, Naive Bayes, KNN, XGBM, Stacking,
SVM, SVD, Bagging Methods and Neural Networks.</li>
<li><b>Data Mining:</b> Principal Component Analysis, Associated Rules,
Recommendation Systems and Clustering Analysis.</li>
<li><b>Predictive Analytics/Forecasting:</b> Time series analysis and
building models based on the scenario to forecast the business
interests.</li>
<li><b>Deep Learning:</b> Artificial Neural Networks and Convolutional
Neural Networks.</li>
<li><b>Product Development:</b> Agile Methodology, Product Cycle, JIRA for Ticketing, Git, GitHub.</li>
</ul>
</p>
<!-- <p>
Detail-oriented Software Developer with professional experience in Backend Development, Machine Learning, Computer Vision. I am adept in Python, Django, Flask, SQL, Machine Learning, Computer Vision.
</p> -->
<p>
I am looking for a dynamic role that challenges me to utilize my Software Engineering skills, providing chances for professional growth, exciting experiences, and personal development.
</p>
<!-- <p>
Another Paragraph
</p> -->
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<strong>Current Focus</strong>: <a aria-label="Navigate to the Inclusive Design Patterns homepage"
href="https://www.smashingmagazine.com/inclusive-design-patterns/">Accessibility</a> // <a
aria-label="Navigate to the Full Stack React homepage"
href="https://www.fullstackreact.com/">React</a> // <a
aria-label='Navigate to the article "Scalable CSS"'
href="https://mrmrs.github.io/writing/2016/03/24/scalable-css/">Design Systems</a>
</p> -->
</div>
</section>
<!-- Third Section: Experience -->
<section id="experience" class="section scrollspy">
<h3 class="page-title white-text teal">Experience</h3>
<div class="container">
<!-- Latest Experience -->
<div class="card">
<div class="card-content">
<div class="row">
<div class="col s12 m2">
<a href="https://www.continental.com/en/" target="_blank"><img alt="Continental logo"
src="/assets/img/continental_logo.jpg" class="responsive-img center-block" /></a>
</div>
<!-- <div class="col s12 m10"> -->
<div class="col s12 m10">
<p>
<span class="card-title"><a href="https://www.continental.com/en/" target="_blank"
class="teal-text hoverline">Continental AG</a></span>
</p>
</div>
</div>
<div class="role brown-text text-darken-2">Software Engineer</div>
<ul>
<li>
Worked on ADAS (Advanced Driving Assistance Systems) and developed products like EBA (Emergency Brake Assist), and RPCP
(Rear Pre-Crash Predict) for clients Mercedes Benz, Volkswagen, and BMW in agile methodology.
</li>
<li>
Algorithm Development in C and Testing using GTest.
</li>
<li>Performed reverse engineering for fixing bugs using the C programming language and providing problem-solving solutions to
customer-reported problems in the simulation environment.</li>
<li>Implemented automation using Python scripting on real-time problems.</li>
<li>
<b>Skills learnt:</b> Development in C, Python for scripting, Git, GTest
for Testing, QAC for Quality, JIRA for ticketing, Product
Development, Agile Methodologies, ASPICE.
</li>
</ul>
</div>
<div class="card-action">
<span>Sep 2021 - Aug 2023 | Bangalore, India</span>
</div>
</div>
<!-- Experience 2 -->
<div class="card">
<div class="card-content">
<div class="row">
<div class="col s12 m2">
<a href="https://innodatatics.ai/" target="_blank"><img alt="Innodatatics logo"
src="/assets/img/innodatatics_logo.png" class="responsive-img center-block" /></a>
</div>
<!-- <div class="col s12 m10"> -->
<div class="col s12 m10">
<p>
<span class="card-title"><a href="https://innodatatics.ai/" target="_blank"
class="teal-text hoverline">Innodatatics</a></span>
</p>
</div>
</div>
<div class="role brown-text text-darken-2">Data Science Intern</div>
<ul>
<li>
Collaborated with a dynamic team to conduct in-depth data analysis utilizing Python and Tableau, providing valuable insights into
the client's Sales data.
</li>
<li>
Analyzed user behavior, temporal trends, and distinctions between Free and Paid users.
</li>
<li>
Formulated data-driven recommendations and compelling narratives, and communicated to our client.
</li>
<li>
<b>Skills learnt:</b>Python, Data Analysis, ML Modelling, Flask.
</li>
</ul>
</div>
<div class="card-action">
<span>Sep 2020 - Aug 2020 | Bangalore, India</span>
</div>
</div>
<!-- Experience 3 -->
<div class="card">
<div class="card-content">
<div class="row">
<div class="col s12 m2">
<a href="https://www.drdo.gov.in/" target="_blank"><img alt="DRDO logo"
src="/assets/img/DRDO_logo.jpg" class="responsive-img center-block" /></a>
</div>
<div class="col s12 m10">
<p>
<span class="card-title"><a href="https://www.drdo.gov.in/" target="_blank"
class="teal-text hoverline">Defense Research Development Organization (DRDO) </a></span>
</p>
</div>
</div>
<div class="role brown-text text-darken-2">Intern</div>
<ul>
<li>
Worked on Validation and Verification Process Standards in avionics hardware.
</li>
<li>
Collaborating with different teams and Reviewing standards of all the Validation and verification processes.
</li>
<li>
<b>Skills learnt:</b> DO-254 and DAL-C Certification of Hardware.
</li>
</ul>
</div>
<div class="card-action">
<span>Jan 2020 - Feb 2020 | Bangalore, India</span>
</div>
</div>
</div>
</section>
<!-- Fourth Section: Projects -->
<section id="projects" class="section scrollspy">
<h3 class="page-title white-text teal">Projects</h3>
<div class="container">
<div class="row">
<!-- 1. NYC Taxi Trip Duration Project -->
<div class="col s12 m6 l4">
<div class="card medium">
<div class="card-image waves-effect waves-block waves-light">
<img alt="Taxi trip" src="/assets/img/Taxi_Trip.PNG" style="height: 100%; width: 100%" class="activator" />
</div>
<div class="card-content">
<span class="card-title activator teal-text hoverline">New York City Taxi Trip Duration<i
class="mdi-navigation-more-vert right"></i></span>
<p>
EDA to predict the total ride duration of taxi trips in New York city
</p>
</div>
<div class="card-reveal">
<!-- TODO: change this -- only close button -->
<!-- <span class="card-title brown-text">Accomplishments<i class="mdi-navigation-close right"></i></span> -->
<span class="card-title grey-text"><small>Accomplishments</small><i
class="mdi-navigation-close right"></i></span>
<ul>
<li><b>Tools:</b> Python </li>
<li>Performed feature engineering, data exploration, time series analysis.</li>
<li>Model building and validation to build a low latency system.</li>
<li>Predicts "Trip Duration" given pick up and drop off geographical co-ordinates.</li>
</ul>
<div class="card-action">
<!-- <a aria-label="Visit " href="https://galvanic-music.herokuapp.com/" target="_blank" data-position="top"
data-tooltip="View Online"
class="btn-floating btn-large waves-effect waves-light blue-grey tooltipped"><i
class="fa fa-external-link"></i></a> -->
<a aria-label="Visit the GitHub repo for project" href="https://github.com/shanunDS/NYC-Taxi-Trip-Duration"
target="_blank" data-position="top" data-tooltip="View Source"
class="btn-floating btn-large waves-effect waves-light blue-grey tooltipped"><i
class="fa fa-github"></i></a>
</div>
</div>
</div>
</div>
<!-- 2. Movie Revenue Prediction Project -->
<div class="col s12 m6 l4">
<div class="card medium">
<div class="card-image waves-effect waves-block waves-light">
<img alt="quiz app" src="/assets/img/movie_revenue_prediction.png" style="height: 100%; width: 100%" class="activator" />
</div>
<div class="card-content">
<span class="card-title activator teal-text hoverline">Movie Revenue Prediction <i
class="mdi-navigation-more-vert right"></i></span>
<p>
A Prediction Model to predict Revenue generated by a movie
</p>
</div>
<div class="card-reveal">
<!-- TODO: change this -- only close button -->
<!-- <span class="card-title brown-text">Accomplishments<i class="mdi-navigation-close right"></i></span> -->
<span class="card-title grey-text"><small>Accomplishments</small><i
class="mdi-navigation-close right"></i></span>
<ul>
<li><b>Tools:</b> R Programming </li>
<li>Predictive Model for Movie Revenue Estimation and Decision Support.</li>
<li>Investigates a multitude of features that contribute to the financial performance of a movie.</li>
</ul>
<div class="card-action">
<!-- <a aria-label="Visit " href="https://quiz-up-app.herokuapp.com/" target="_blank" data-position="top"
data-tooltip="View Online"
class="btn-floating btn-large waves-effect waves-light blue-grey tooltipped"><i
class="fa fa-external-link"></i></a> -->
<a aria-label="Visit the GitHub repo for project" href="https://github.com/anandr07/Movie-Revenue-Prediction"
target="_blank" data-position="top" data-tooltip="View Source"
class="btn-floating btn-large waves-effect waves-light blue-grey tooltipped"><i
class="fa fa-github"></i></a>
</div>
</div>
</div>
</div>
<!-- 1. Django Project -->
<!-- <div class="col s12 m6 l6">
<div class="card medium">
<div class="card-image waves-effect waves-block waves-light">
<img alt="django web app" src="/assets/img/project-library-logo.png" style="height: 100%; width: 100%" class="activator" />
</div>
<div class="card-content">
<span class="card-title activator teal-text hoverline">Local Library Web-App<i
class="mdi-navigation-more-vert right"></i></span>
<p>
A web-app that creates an online catalog for a small local library, where users can browse available books and manage their accounts.
</p>
</div>
<div class="card-reveal">
<span class="card-title grey-text"><small>Accomplishments</small><i
class="mdi-navigation-close right"></i></span>
<ul>
<li><b>Tools:</b> HTML, CSS, Bootstrap, SQLite, Django, Heroku</li>
<li>Users can view list and detail information for books and authors.</li>
<li>Admin users can create and manage models.</li>
<li>Librarians can renew reserved books.</li>
</ul>
<div class="card-action">
<a aria-label="Visit " href="https://django-local-lib.herokuapp.com" target="_blank" data-position="top"
data-tooltip="View Online"
class="btn-floating btn-large waves-effect waves-light blue-grey tooltipped"><i
class="fa fa-external-link"></i></a>
<a aria-label="Visit the GitHub repo for project" href="https://github.com/varadbhogayata/django-local-library"
target="_blank" data-position="top" data-tooltip="View Source"
class="btn-floating btn-large waves-effect waves-light blue-grey tooltipped"><i
class="fa fa-github"></i></a>
</div>
</div>
</div>
</div> -->
<!-- Bank Loan Defaulters Prediction Project -->
<div class="col s12 m6 l4">
<div class="card medium">
<div class="card-image waves-effect waves-block waves-light">
<img alt="Screenshot of web app" src="/assets/img/loan_defaulter.PNG"
style="height: 100%; width: 100%" class="activator" />
</div>
<div class="card-content">
<span class="card-title activator teal-text hoverline">Bank Loan Defaulters Prediction<i
class="mdi-navigation-more-vert right"></i></span>
<p>
To predict whether the customer will fall under loan default or not
</p>
</div>
<div class="card-reveal">
<!-- TODO: change this -- only close button -->
<!-- <span class="card-title brown-text">Accomplishments<i class="mdi-navigation-close right"></i></span> -->
<span class="card-title teal-text"><small>Accomplishments</small><i
class="mdi-navigation-close right"></i></span>
<ul>
<li><b>Tools:</b> Heroku, Flask, Python</li>
<li>Model allows the bank to make an analysis based on relevant data and then decide to give the loan or not.</li>
<li>Reduces the bank's risk of defaulting on a loan.</li>
</ul>
<div class="card-action">
<!-- <a aria-label="Visit Blog website" href="https://flask-heroku-blog.herokuapp.com/" target="_blank" data-position="top"
data-tooltip="View Online"
class="btn-floating btn-large waves-effect waves-light blue-grey tooltipped"><i
class="fa fa-external-link"></i></a> -->
<a aria-label="Visit the GitHub repo for project" href="https://github.com/anandr07/Loan-Defaulters-Prediction"
target="_blank" data-position="top" data-tooltip="View Source"
class="btn-floating btn-large waves-effect waves-light blue-grey tooltipped"><i
class="fa fa-github"></i></a>
</div>
</div>
</div>
</div>
<!-- Sentiment Prediction from Amazon reviews -->
<div class="col s12 m6 l4">
<div class="card medium">
<div class="card-image waves-effect waves-block waves-light">
<img alt="Screenshot of web app" src="/assets/img/sentiment_analysis.PNG" style="height: 100%; width: 100%" class="activator" />
</div>
<div class="card-content">
<span class="card-title activator teal-text hoverline">Sentiment Prediction from Amazon reviews<i
class="mdi-navigation-more-vert right"></i></span>
<p>
Employs advanced NLP and ML to analyze Amazon reviews
</p>
</div>
<div class="card-reveal">
<!-- TODO: change this -- only close button -->
<!-- <span class="card-title brown-text">Accomplishments<i class="mdi-navigation-close right"></i></span> -->
<span class="card-title teal-text"><small>Accomplishments</small><i
class="mdi-navigation-close right"></i></span>
<ul>
<li>Tools: Python, Flask, AWS-for deployment.</li>
<li>Assists users and businesses in understanding and anticipating public perceptions of products, guiding development,
and enhancing decision-making within the e-commerce landscape.</li>
</ul>
<div class="card-action">
<a aria-label="Visit Blog website" href="http://ec2-3-15-140-154.us-east-2.compute.amazonaws.com:8080/index" target="_blank" data-position="top"
data-tooltip="View Online"
class="btn-floating btn-large waves-effect waves-light blue-grey tooltipped"><i
class="fa fa-external-link"></i></a>
<a aria-label="Visit the GitHub repo for project"
href="https://github.com/anandr07/Sentiment-prediction-from-Amazon-reviews" target="_blank"
data-position="top" data-tooltip="View Source"
class="btn-floating btn-large waves-effect waves-light blue-grey tooltipped"><i
class="fa fa-github"></i></a>
</div>
</div>
</div>
</div>
<!-- University Recommendation System using Neo4j -->
<div class="col s12 m6 l4">
<div class="card medium">
<div class="card-image waves-effect waves-block waves-light">
<img alt="Screenshot of web app" src="/assets/img/recommendation_system.png" style="height: 100%; width: 100%" class="activator" />
</div>
<div class="card-content">
<span class="card-title activator teal-text hoverline">University Recommendation System using Neo4j<i
class="mdi-navigation-more-vert right"></i></span>
<p>
A recommendation system for Recommending Similar Universities
</p>
</div>
<div class="card-reveal">
<!-- TODO: change this -- only close button -->
<!-- <span class="card-title brown-text">Accomplishments<i class="mdi-navigation-close right"></i></span> -->
<span class="card-title brown-text"><small>Accomplishments</small><i
class="mdi-navigation-close right"></i></span>
<ul>
<li>Tools: Neo4j, Flask.</li>
<li>NEO4J's graph database reimagines higher education by enabling highly personalized,
context-aware university recommendations, transforming the educational landscape.</li>
</ul>
<div class="card-action">
<a aria-label="Visit the GitHub repo for project" href="https://github.com/anandr07/University-Recommendation-System-using-Neo4j"
target="_blank" data-position="top" data-tooltip="View Source"
class="btn-floating btn-large waves-effect waves-light blue-grey tooltipped"><i
class="fa fa-github"></i></a>
</div>
</div>
</div>
</div>
<!-- Image Generator -->
<!--
<div class="col s12 m6 l4">
<div class="card medium">
<div class="card-image waves-effect waves-block waves-light">
<img alt="Screenshot of web app" src="/assets/img/gan.jpg" style="height: 100%; width: 100%" class="activator" />
</div>
<div class="card-content">
<span class="card-title activator teal-text hoverline">Image Generator<i
class="mdi-navigation-more-vert right"></i></span>
<p>
An image generator based on the concept of adversarial networks (GANs)
</p>
</div>
<div class="card-reveal">
-->
<!-- <span class="card-title brown-text">Accomplishments<i class="mdi-navigation-close right"></i></span> -->
<!-- <span class="card-title brown-text"><small>Accomplishments</small><i
class="mdi-navigation-close right"></i></span>
<ul>
<li>Developed system was tested on a human-face database and loss was calculated by comparing the PCAs
of generated and original image.</li>
<li>Calculated difference in PCA was less than 10%, depicting the successful generation of an image by
the generator.</li>
</ul>
<div class="card-action">
<a aria-label="Visit the GitHub repo for project" href="https://github.com/varadbhogayata/"
target="_blank" data-position="top" data-tooltip="View Source"
class="btn-floating btn-large waves-effect waves-light blue-grey tooltipped"><i
class="fa fa-github"></i></a>
</div>
</div>
</div>
</div>
-->
<!-- Head Counting System -->
<!-- <div class="col s12 m6 l4">
<div class="card medium">
<div class="card-image waves-effect waves-block waves-light">
<img alt="Screenshot of web app" src="/assets/img/Blog-Images-Forget-Machine-Learning-Humans-Still-Have-a-Lot-to-Learn-Part-II.jpg" style="height: 100%; width: 100%" class="activator" />
</div>
<div class="card-content">
<span class="card-title activator teal-text hoverline">Head Counting System<i
class="mdi-navigation-more-vert right"></i></span>
<p>
A system that calculates the attendance of the class from a panoramic image of a live classroom.
</p>
</div>
<div class="card-reveal">
-->
<!-- <span class="card-title brown-text">Accomplishments<i class="mdi-navigation-close right"></i></span> -->
<!--
<span class="card-title brown-text"><small>Accomplishments</small><i
class="mdi-navigation-close right"></i></span>
<ul>
<li>Used Singular Value Decomposition for image compression; applied various image processing
techniques and morphological operations to
detect the number of heads.</li>
</ul>
<div class="card-action">
<a aria-label="Visit the GitHub repo for project"
href="https://github.com/varadbhogayata/visual-question-answering" target="_blank"
data-position="top" data-tooltip="View Source"
class="btn-floating btn-large waves-effect waves-light blue-grey tooltipped"><i
class="fa fa-github"></i></a>
</div>
</div>
</div>
</div>
-->
<!-- ************* -->
</div>
</div>
</section>
<!-- Fifth Section: Research Papers -->
<section id="Research Paper" class="section scrollspy">
<h3 class="page-title white-text teal">Research Paper</h3>
<div class="container">
<div class="row">
<div class="col s12 m6 l4">
<div class="card medium">
<div class="card-image waves-effect waves-block waves-light">
<img alt="music streaming app" src="/assets/img/IJARESM.jpg" style="height: 100%; width: 100%" class="activator" />
</div>
<div class="card-content">
<span class="card-title activator teal-text hoverline">Facial Emotion Analysis<i
class="mdi-navigation-more-vert right"></i></span>
<p>
Facial Feature Extraction and Emotional Analysis Using ML
</p>
</div>
<div class="card-reveal">
<!-- TODO: change this -- only close button -->
<!-- <span class="card-title brown-text">Accomplishments<i class="mdi-navigation-close right"></i></span> -->
<span class="card-title grey-text"><small>Accomplishments</small><i
class="mdi-navigation-close right"></i></span>
<ul>
<li>Challenges in facial expression recognition.</li>
<li>Introduction of a deep learning approach with Convolutional Neural Networks(CNN).</li>
<li>Emphasis on CNNs' role in feature learning for emotion detection.</li>
<li>Click on the link to view the research paper for detailed information.</li>
</ul>
<div class="card-action">
<a aria-label="Visit " href="https://www.ijaresm.com/caryn-dsouza-anand-raj-shivangi-verma-jangala-ramu-sailohitha-deepak-reddy-anumula-aaditya-verma-avadhut-jayawant-mane" target="_blank" data-position="top"
data-tooltip="View Online"
class="btn-floating btn-large waves-effect waves-light blue-grey tooltipped"><i
class="fa fa-external-link"></i></a>
</div>
</div>
</div>
</div>
<div class="col s12 m6 l4">
<div class="card medium">
<div class="card-image waves-effect waves-block waves-light">
<img alt="music streaming app" src="/assets/img/IEEE.jpeg" style="height: 100%; width: 100%" class="activator" />
</div>
<div class="card-content">
<span class="card-title activator teal-text hoverline">Prediction Algorithm evaluation<i
class="mdi-navigation-more-vert right"></i></span>
<p>
Performance Comparison of Prediction Algorithms for Forecasting of Wind Power Generation
</p>
</div>
<div class="card-reveal">
<!-- TODO: change this -- only close button -->
<!-- <span class="card-title brown-text">Accomplishments<i class="mdi-navigation-close right"></i></span> -->
<span class="card-title grey-text"><small>Accomplishments</small><i
class="mdi-navigation-close right"></i></span>
<ul>
<li>Research compares ARIMA, SARIMAX, and ARMA algorithms for Wind power generation forecasting.</li>
<li>ARIMA identified as the most accurate with the lowest MSE (523.01).</li>
<li>Accurate forecasting minimizes errors, enhances power grid reliability.</li>
<li>Click on the link to view the IEEE paper for detailed information.</li>
</ul>
<div class="card-action">
<a aria-label="Visit " href="https://ieeexplore.ieee.org/document/9951967" target="_blank" data-position="top"
data-tooltip="View Online"
class="btn-floating btn-large waves-effect waves-light blue-grey tooltipped"><i
class="fa fa-external-link"></i></a>
</div>
</div>
</div>
</div>
</div>
</div>
</section>
<!-- Sixth Section: Skills -->
<section id="skills" class="section scrollspy">
<h3 class="page-title white-text teal">Skills</h3>
<div class="container">
<!-- Languages and Databases -->
<div class="card">
<div class="card-content">
<h4 class="brown-text light">Languages and Databases</h4>
<div class="row text-center">
<div class="col s4 m2">
<img alt="" src="/assets/img/python-logo-1-300x300.jpg" class="responsive-img" />Python
</div>
<div class="col s4 m2">
<img alt="" src="/assets/img/c.png" class="responsive-img" />C
</div>
<div class="col s4 m2">
<img alt="" src="/assets/img/r.png" class="responsive-img" />R
</div>
<div class="col s4 m2">
<img alt="" src="/assets/img/sql_logo.png" class="responsive-img" />SQL
</div>
<div class="col s4 m2">
<img alt="" src="/assets/img/mongodb.png" class="responsive-img" />MangoDB
</div>
</div>
</div>
</div>
<div class="card">
<div class="card-content">
<h4 class="brown-text light">Libraries</h4>
<div class="row text-center">
<div class="col s4 m2">
<img alt="" src="/assets/img/numpy-logo-1-500x500.jpg" class="responsive-img" />NumPy
</div>
<div class="col s4 m2">
<img alt="" src="/assets/img/pandas-logo-2-500x500.jpg" class="responsive-img" />Pandas
</div>
<div class="col s4 m2">
<img alt="" src="/assets/img/sk-learn-logo-1-500x500.jpg" class="responsive-img" />scikit-learn
</div>
<div class="col s4 m2">
<img alt="" src="/assets/img/matplotlib-logo-1-500x500.jpg" class="responsive-img" />matplotlib
</div>
</div>
</div>
</div>
<!-- Frameworks -->
<div class="card">
<div class="card-content">
<h4 class="brown-text light">Frameworks</h4>
<div class="row text-center">
<div class="col s4 m2">
<img alt="" src="/assets/img/flask-logo.png" class="responsive-img" />Flask
</div>
</div>
</div>
</div>
<!-- Other -->
<div class="card">
<div class="card-content">
<h4 class="brown-text light">Other</h4>
<div class="row text-center">
<div class="col s4 m2">
<img alt="" src="/assets/img/git.png" class="responsive-img" />Git
</div>
<div class="col s4 m2">
<img alt="" src="/assets/img/GitHub_1.png" class="responsive-img" />GitHub
</div>
<div class="col s4 m2">
<img alt="" src="/assets/img/visual-studio-code.png" class="responsive-img" />VS Code
</div>
<div class="col s4 m2">
<img alt="" src="/assets/img/jupyter-notebook.png" class="responsive-img" />Jupyter notebook
</div>
</div>
</div>
</div>
<!-- certifications -->
<!-- <div class="card">
<div class="card-content">
<h4 class="brown-text light">Certificates</h4>
<div class="row text-left">
<div class="container">
<div class="row">
<div class="col s12 m6 l6">
<div class="card">
<div class="card-image">
<img src="/assets/img/mooc-machine-learning-coursera-800x500.jpg">
</div>
<div class="card-content">
<span class="card-title teal-text">Machine Learning (Stanford)</span>
</div>
</div>
</div>
<div class="col s12 m6 l6">
<div class="card">
<div class="card-image">
<img src="/assets/img/mooc-algorithms-stanford-2-800x500.jpg">
</div>
<div class="card-content">
<span class="card-title teal-text">Algorithms (Stanford)</span>
</div>
</div>
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<h3 class="page-title white-text teal">Education</h3>
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<span class="card-title"><a href="https://www.gwu.edu/" target="_blank" class="teal-text hoverline">George Washington University</a></span>
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<p class="brown-text">Washington DC, USA</p>
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<b>Degree: </b>Master of Science in Data Science
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<b>CGPA: </b>4.0/4.0
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<b>Relevant Courseworks:</b>
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<li>Data Warehousing</li>
<li>Introduction to Data Science</li>
<li>Introduction to Data Mining</li>
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