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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="" />
<meta name="author" content="" />
<title>Resume - Arun Balaji</title>
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<body id="page-top">
<!-- Navigation-->
<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">Arun Balaji Ramathilagam</span>
<span class="d-none d-lg-block"><img class="img-fluid img-profile rounded-circle mx-auto mb-2" src="assets/img/qTKEgudP_400x400.jpg" alt="..." /></span>
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<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbarResponsive" aria-controls="navbarResponsive" aria-expanded="false" aria-label="Toggle navigation"><span class="navbar-toggler-icon"></span></button>
<div class="collapse navbar-collapse" id="navbarResponsive">
<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="#education">Education</a></li>
<li class="nav-item"><a class="nav-link js-scroll-trigger" href="#skills">Skills</a></li>
<li class="nav-item"><a class="nav-link js-scroll-trigger" href="#interests">Projects</a></li>
<li class="nav-item"><a class="nav-link js-scroll-trigger" href="#awards">Certifications</a></li>
</ul>
</div>
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<!-- Page Content-->
<div class="container-fluid p-0">
<!-- About-->
<section class="resume-section" id="about">
<div class="resume-section-content">
<h1 class="mb-0">
Arun Balaji
<span class="text-primary">Ramathilagam</span>
</h1>
<div class="subheading mb-5">
Virudhunagar · Tamil Nadu, India ·
<a href="mailto:[email protected]">[email protected]</a>
</div>
<p class="lead mb-5">Research and Development Engineer with 2+ years of experience in handling large geospatial datasets and satellite imagery using SQL and Python. Hands-on experience in building and deploying advanced Machine Learning/Deep Learning models for regression, classification and segmentation tasks. </p>
<div class="social-icons">
<a class="social-icon" href="https://www.linkedin.com/in/arunbalaji-aji/"><i class="fab fa-linkedin-in"></i></a>
<a class="social-icon" href="https://github.com/ajigeo"><i class="fab fa-github"></i></a>
<a class="social-icon" href="https://twitter.com/arunbaji"><i class="fab fa-twitter"></i></a>
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</div>
</section>
<hr class="m-0" />
<!-- Experience-->
<section class="resume-section" id="experience">
<div class="resume-section-content">
<h2 class="mb-5">Experience</h2>
<div class="d-flex flex-column flex-md-row justify-content-between mb-5">
<div class="flex-grow-1">
<h3 class="mb-0">Research and Development Engineer</h3>
<div class="subheading mb-3">Vassarlabs IT Solutions Pvt Ltd</div>
<ul class="fa-ul mb-0">
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Developed and executed python code to automate data cleaning, preprocessing and transformation pipelines using packages like Geopandas, GDAL, pandas and numpy.
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Executed Google Earth Engine scripts to download remote sensing data for different use cases.
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Saved time by implementing k-means and hierarchical clustering to analyze temporal NDVI profile of crops and classifying them with very few ground truth points.
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Quantified and visualized the changes in cropping pattern over time in Telangana using Sentinel-1 and Sentinel-2 timeseries data.
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Worked closely with the backend team to download and process data according to the requirement to build a drought monitoring dashboard at national level.
</li>
</ul>
</div>
<div class="flex-shrink-0"><span class="text-primary">May 2023 - Present</span></div>
</div>
<div class="d-flex flex-column flex-md-row justify-content-between mb-5">
<div class="flex-grow-1">
<h3 class="mb-0">Junior Research Fellow</h3>
<div class="subheading mb-3">SASTRA University - School of Computing</div>
<ul class="fa-ul mb-0">
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Used 1D CNN, LSTM and transformer models for crop classification using time series Sentinel-1 and Sentinel-2 data.
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Developed unique research methodology to develop NDVI from SAR data using pix2pix GAN.
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Used UNet, ResNet and LinkNet for agricultural field boundary extraction using high resolution Indian Remote Sensing data and compared the results.
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Pre-processed the remote sensing data using GDAL, Numpy, SNAP and QGIS.
</li>
</ul>
</div>
<div class="flex-shrink-0"><span class="text-primary">June 2021 - March 2023</span></div>
</div>
<div class="d-flex flex-column flex-md-row justify-content-between mb-5">
<div class="flex-grow-1">
<h3 class="mb-0">Junior Research Fellow</h3>
<div class="subheading mb-3">Shiv Nadar University - Department of Civil Engineering</div>
<ul class="fa-ul mb-0">
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Collected spectral reflectance data from agricultural fields everyday using spectroradiometer required for crop water stress monitoring.
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Automated preprocessing of reflectance data and derived 10 different spectral indices using python script.
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Compiled reports and documented research methodology.
</li>
</ul>
</div>
<div class="flex-shrink-0"><span class="text-primary">January 2021 - May 2021</span></div>
</div>
<div class="d-flex flex-column flex-md-row justify-content-between mb-5">
<div class="flex-grow-1">
<h3 class="mb-0">Volunteer</h3>
<div class="subheading mb-3">Humanitarian Openstreetmap</div>
<ul class="fa-ul mb-0">
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Adding and improving base data in OpenStreetMap using Satellite imagery and local knowledge.
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Validating various HOTOSM tasks across the world.
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
One of the active OSM contributors in India.
</li>
</ul>
</div>
<div class="flex-shrink-0"><span class="text-primary">August 2016 - Present</span></div>
</div>
<div class="d-flex flex-column flex-md-row justify-content-between">
<div class="flex-grow-1">
<h3 class="mb-0">Intern</h3>
<div class="subheading mb-3">Mahalanobis National Crop Forecast Center</div>
<ul class="fa-ul mb-0">
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Classifying paddy growing areas using multi-temporal RISAT-1 data.
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Predicting the transplanting dates, fresh biomass and grain yield for paddy.
</li>
</ul>
</div>
<div class="flex-shrink-0"><span class="text-primary">August 2016 - November 2016</span></div>
</div>
</div>
</section>
<hr class="m-0" />
<!-- Education-->
<section class="resume-section" id="education">
<div class="resume-section-content">
<h2 class="mb-5">Education</h2>
<div class="d-flex flex-column flex-md-row justify-content-between mb-5">
<div class="flex-grow-1">
<h3 class="mb-0">University of Twente - Indian Institute of Remote Sensing, ISRO (ITC-IIRS JEP)</h3>
<div class="subheading mb-3">Master of Science in Geoinformatics</div>
<p>GPA: 7.93</p>
<ul class="fa-ul mb-0">
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Estimating pearl millet biomass, LAI and crop height from RADARSAT-2 data using the Water Cloud Model.
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Published a paper titled "Evaluation of different Machine Learning classifiers for Pearl Millet crop classification using Sentinel-1 and RADARSAT-2 data" using Decision Tree, Random Forest and SVM classifiers
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Received IIRS Golden Jubilee Scholarship for scoring highest marks in the Earth Observation module.
</li>
</ul>
</div>
<div class="flex-shrink-0"><span class="text-primary">September 2018 - June 2020</span></div>
</div>
<div class="d-flex flex-column flex-md-row justify-content-between">
<div class="flex-grow-1">
<h3 class="mb-0">Tamil Nadu Agricultural University</h3>
<div class="subheading mb-3">Bachelor of Technology in Agricultural Information Technology</div>
<p>GPA: 8.37</p>
<ul class="fa-ul mb-0">
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Published a paper titled "Area estimation of cotton and maize crops in Perambalur district of Tamil Nadu using multi date Sentinel-1A SAR and optical data"
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Was part of the University Basketball team and won tournaments at state and national level.
</li>
</ul>
</div>
<div class="flex-shrink-0"><span class="text-primary">July 2013 - May 2017</span></div>
</div>
</div>
</section>
<hr class="m-0" />
<!-- Skills-->
<section class="resume-section" id="skills">
<div class="resume-section-content">
<h2 class="mb-5">Skills</h2>
<div class="subheading mb-3">Programming Languages</div>
<ul class="fa-ul mb-0">
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Python
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
SQL
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
R
</li>
</ul>
<div class="subheading mb-3"></div>
<div class="subheading mb-3">Libraries/Frameworks</div>
<ul class="fa-ul mb-0">
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Numpy
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Pandas
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Scikit-learn
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Keras
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Tensorflow
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Seaborn
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Matplotlib
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Rasterio
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
GDAL
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Geopandas
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Basics of Streamlit
</li>
</ul>
<div class="subheading mb-3"></div>
<div class="subheading mb-3">Tools</div>
<ul class="fa-ul mb-0">
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
JOSM
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
ArcGIS
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
QGIS
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
PostGIS
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
ERDAS
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Basics of Google Earth Engine
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Tableau
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
SNAP
</li>
</ul>
</div>
</section>
<hr class="m-0" />
<!-- Interests-->
<section class="resume-section" id="interests">
<div class="resume-section-content">
<h2 class="mb-5">Projects</h2>
<div class="subheading mb-3">Donor Choose Classification</div>
<ul class="fa-ul mb-0">
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
100k project proposals were classified into two classes using Decision Tree, Naive Bayes, XGBoost and LSTM and cross-validated
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Pre-processed data, including encoding with TF-IDF and Word2Vec, visualizing with t-SNE, transforming and performing initial analysis
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Conducted hyper-parameter tuning using k-fold cross validation to get the maximum AUC score.
</li>
</ul>
<div class="subheading mb-3"></div>
<div class="subheading mb-3">Microsoft Malware Detection</div>
<ul class="fa-ul mb-0">
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Used Random Forest and XGBoost classifiers to identify malware using .byte and .asm files
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Pre-processed data, including cleaning, encoding, visualizing, transforming and performing initial analysis
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Preformed feature engineering by creating using bi-grams from byte files, pixel values from .asm files and selected the best features to optimize model performance
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Conducted hyper-parameter tuning to increase performance of XGBoost model
</li>
</ul>
<div class="subheading mb-3"></div>
<div class="subheading mb-3">Document Classification using CNN</div>
<ul class="fa-ul mb-0">
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Classified a total of 18828 text files into 20 different classes using 1D CNN with Tensorflow and Keras.
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Preprocessed the text data using different python packages like regex to remove tabs, spaces, emails, numbers, special character and SpaCy for chunking the text
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Embedding layer using Keras and pre-trained GloVe vectors were used to vectorize the text data and the results were compared.
</li>
</ul>
<div class="subheading mb-3"></div>
<div class="subheading mb-3">New York City taxi trip duration prediction</div>
<ul class="fa-ul mb-0">
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Predicted the trip duration of taxi between locations in NYC using XGBoost Regressor.
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Using the best model, a web app was created using streamlit.
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Approach: Performed feature engineering to reduce the prediction error. Additional features were generated by adding extra data using table and spatial joins.
</li>
<li>
<span class="fa-li"><i class="fas fa-check"></i></span>
Use Case: Can be used in logistics domain for estimating the trip duration between two locations.
</li>
</ul>
</div>
</div>
</section>
<hr class="m-0" />
<!-- Awards-->
<section class="resume-section" id="awards">
<div class="resume-section-content">
<h2 class="mb-5">Certifications</h2>
<ul class="fa-ul mb-0">
<li>
<span class="fa-li"><i class="fas fa-trophy text-warning"></i></span>
Echoes in Space - Introduction to Radar Remote Sensing - Online course by European Space Agency
</li>
<li>
<span class="fa-li"><i class="fas fa-trophy text-warning"></i></span>
Digital Image Processing of Remote Sensing Data - Online course by Indian Institute of Technology, Roorkee
</li>
<li>
<span class="fa-li"><i class="fas fa-trophy text-warning"></i></span>
Microwave radar Remote Sensing and its Applications - Online course by Indian Institute of Remote Sensing
</li>
<li>
<span class="fa-li"><i class="fas fa-trophy text-warning"></i></span>
Introduction to python programming - Course by NIIT
</li>
</ul>
</div>
</section>
</div>
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