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<!DOCTYPE html>
<!--[if IE 8 ]><html class="no-js oldie ie8" lang="en"> <![endif]-->
<!--[if IE 9 ]><html class="no-js oldie ie9" lang="en"> <![endif]-->
<!--[if (gte IE 9)|!(IE)]><!--><html class="no-js" lang="en"> <!--<![endif]-->
<head>
<!--- basic page needs
================================================== -->
<meta charset="utf-8">
<meta name="description" content="Aditya Kelvianto Sidharta | Data Scientist">
<meta name="keywords" content="Aditya, Kelvianto, Sidharta, Data, Science, Analyst, Statistics, Machine, Learning, Engineering, Software">
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<title>Aditya Sidharta</title>
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<meta content="Aditya Sidharta" property="og:title" />
<meta content="https://raw.githubusercontent.com/AdityaSidharta/adityasidharta.github.io/master/images/adityasidhartacom_preview.png" property="og:image" />
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<meta content="Aditya Sidharta" property="og:site_name" />
<meta content="Aditya Sidharta Personal Website - Data Scientist, Statistician, Machine Learning Engineer" property="og:description" />
</head>
<script src="https://kit.fontawesome.com/3e99450081.js" crossorigin="anonymous"></script>
<link rel="stylesheet" href="fonts/font-mfizz/font-mfizz.css">
<body id="top">
<!-- header
================================================== -->
<header>
<div class="row">
</div> <!-- /row -->
</header> <!-- /header -->
<!-- intro section
================================================== -->
<section id="intro">
<div class="intro-overlay"></div>
<div class="intro-content">
<div class="row">
<div class="col-twelve">
<h5>Hi There!</h5>
<h1>Aditya Sidharta</h1>
<p class="intro-position">
<span>Data Scientist</span>
<span>Statistician</span>
<span>Machine Learning Engineer</span>
</p>
<a class="button stroke smoothscroll" href="#about" title="">About Me</a>
</div>
</div>
</div> <!-- /intro-content -->
<ul class="intro-social">
<li><a href="https://github.com/AdityaSidharta" target="_blank"><i class="fab fa-github"></i></a></li>
<li><a href="https://www.linkedin.com/in/adityasidharta/" target="_blank"><i class="fab fa-linkedin"></i></a></li>
<li><a href="mailto:[email protected]"><i class="fab fa-google"></i></a></li>
<li><a href="https://calendly.com/adityasidharta/30min"><i class="fa-sharp fa-solid fa-calendar"></i></a></li>
<li><a href="https://www.kaggle.com/adityaksidharta" target="_blank"><i class="fab fa-kaggle"></i></i></a></li>
</ul> <!-- /intro-social -->
</section> <!-- /intro -->
<!-- about section
================================================== -->
<section id="about">
<div class="row section-intro">
<div class="col-twelve">
<h5>About Me</h5>
<h1>Leveraging Data Science to build better products</h1>
<div class="intro-info">
<img src="images/profile-pic.png" alt="Profile Picture">
<p class="lead">Aditya is a Data Scientist who is experienced in the healthcare, transportation, and mobility industry.
Aditya specializes in developing and deploying end-to-end large-scale machine learning models to deliver business values. </p>
</div>
</div>
</div> <!-- /section-intro -->
<div class="row about-content">
<div class="col-six tab-full">
<h3>Profile</h3>
<ul class="info-list">
<li>
<strong>Fullname:</strong>
<span>Aditya Kelvianto Sidharta</span>
</li>
<li>
<strong>Current Location:</strong>
<span>New York, New York</span>
</li>
<li>
<strong>Current Position:</strong>
<span>Principal Associate, Data Science at Capital One</span>
</li>
<li>
<strong>Email:</strong>
<span>[email protected]</span>
</li>
<li>
<strong>Nationality:</strong>
<span>Indonesian</span>
</li>
</ul> <!-- /info-list -->
</div>
<div class="col-six tab-full">
<h3>Skills</h3>
<ul class="info-list">
<li>
<strong>Industry Knowledge:</strong>
<span>Classical Statistics, Bayesian Statistics, Machine Learning, Causal Inference, Deep Learning, Reinforcement Learning, Data Analytics, Data Science, Data Visualization</span>
</li>
<li>
<strong>Programming Langauge:</strong>
<span>Python, R, SQL</span>
</li>
<li>
<strong>Data Science:</strong>
<span>Tensorflow, PyTorch, pandas, NumPy, SciPy, dbt, Matplotlib, XGBoost, scikit-learn, Jupyter Notebooks, Tableau</span>
</li>
<li>
<strong>MLOps:</strong>
<span>Apache Spark, BigQuery, Apache Airflow, MLFlow, KubeFlow, Feast, Git, Gitlab CI, Docker, GCP, AWS</span>
</li>
<li>
<strong>Language:</strong>
<span>English, Bahasa Indonesia</span>
</li>
</ul> <!-- /info-list -->
</div>
</div>
<div class="row button-section">
<div class="col-twelve">
<a href="#contact" title="Contact Me" class="button stroke smoothscroll">Contact Me</a>
<a href="https://www.linkedin.com/in/adityasidharta" download title="Download CV" class="button button-primary">Download CV</a>
</div>
</div>
</section> <!-- /process-->
<!-- resume Section
================================================== -->
<section id="resume" class="grey-section">
<div class="row section-intro">
<div class="col-twelve">
<h5>Resume</h5>
<h1>Data Science for all industries</h1>
<p class="lead">Aditya believes that that a data-driven approach and rigorous data science process is crucial in aiding companies to make the right business decision.
</p>
</div>
</div> <!-- /section-intro-->
<div class="row resume-timeline">
<div class="col-twelve resume-header">
<h2>Work Experience</h2>
</div> <!-- /resume-header -->
<div class="col-twelve">
<div class="timeline-wrap">
<div class="timeline-block">
<div class="timeline-ico">
<i class="fa fa-briefcase"></i>
</div>
<div class="timeline-header">
<h3>Principal Associate, Data Science</h3>
<p>Jan 2022 - Present</p>
</div>
<div class="timeline-content">
<h4>Capital One, New York</h4>
<p><ul>
<li>Working as a Data Scientist at ML Observability team</li>
</ul></p>
</div>
</div> <!-- /timeline-block -->
<div class="timeline-block">
<div class="timeline-ico">
<i class="fa fa-briefcase"></i>
</div>
<div class="timeline-header">
<h3>Senior Data Scientist</h3>
<p>September 2019 - Jul 2021</p>
</div>
<div class="timeline-content">
<h4>GO-JEK, Singapore</h4>
<p><ul>
<li>Developed large-scale machine learning models to optimize the allocation of GOJEK targeted promotional system to drive the number of bookings in Indonesia..</li>
<li>Productionized end-to-end machine learning pipelines and automated multiple promotional campaign executions.</li>
</ul></p>
</div>
</div> <!-- /timeline-block -->
<div class="timeline-block">
<div class="timeline-ico">
<i class="fa fa-briefcase"></i>
</div>
<div class="timeline-header">
<h3>Data Scientist</h3>
<p>August 2018 - August 2019</p>
</div>
<div class="timeline-content">
<h4>uCare.AI, Singapore</h4>
<p><ul>
<li>Developed several machine learning models (Gradient Boosted Decision Trees, Neural Network) for various healthcare data products: healthcare cost prediction, patient readmission prediction, fraud detection, doctor recommendation, and food ingredients’ prediction.</li>
<li>Built patient and disease profiles using health data across different hospitals and insurance companies.</li>
<li>Developed internal Data Science tooling and APIs to improve productivity in Data Science projects.</li>
</ul></p>
</div>
</div> <!-- /timeline-block -->
<div class="timeline-block">
<div class="timeline-ico">
<i class="fa fa-briefcase"></i>
</div>
<div class="timeline-header">
<h3>Data Scientist</h3>
<p>June 2018 - July 2018</p>
</div>
<div class="timeline-content">
<h4>Teralytics, Singapore</h4>
<p><ul>
<li>Developed a Particle Filter Algorithm to detect walking trips around Hong Kong MRT stations. </li>
<li>Supervised interns in developing Recurrent Neural Network model to perform real-time next location prediction in Berlin.</li>
<li>Refactored the MRT Individual trace estimation algorithm to improve the footfall detection for MRT stations in Singapore.</li>
</ul></p>
</div>
</div> <!-- /timeline-block -->
<div class="timeline-block">
<div class="timeline-ico">
<i class="fa fa-briefcase"></i>
</div>
<div class="timeline-header">
<h3>Data Science Intern</h3>
<p>May 2017 - May 2018</p>
</div>
<div class="timeline-content">
<h4>Teraltyics, Singapore</h4>
<p><ul>
<li>Developed several algorithms (SGD, Markov Chain Monte Carlo, Sequential Monte Carlo, Viterbi Decoding) for performing detection & movement tracking for
Singapore Mass Rapid Transit (MRT) passengers based on users’ cellular data, written in Python and Spark.</li>
<li>Refactored the batch pipeline which processes large-scale cellular data to produce commuter analyses on public transport network in Singapore.</li>
</ul></p>
</div>
</div> <!-- /timeline-block -->
<div class="timeline-block">
<div class="timeline-ico">
<i class="fa fa-briefcase"></i>
</div>
<div class="timeline-header">
<h3>Sales Operation Intern</h3>
<p>May 2016 - Jul 2016</p>
</div>
<div class="timeline-content">
<h4>Ecolab, Singapore</h4>
<p><ul>
<li>Spearheaded sales split automation project for all Ecolab commissaries across 6 countries and established an automated system for 135 Commissaries
and 7000 outlets, with total sales of over $1,500,000.</li>
<li>Developed geocoding software from scratch which significantly optimized the territory management process to be 20x faster compared to the manual process,
written in Python and ArcGIS.</li>
</ul></p>
</div>
</div> <!-- /timeline-block -->
<div class="timeline-block">
<div class="timeline-ico">
<i class="fa fa-briefcase"></i>
</div>
<div class="timeline-header">
<h3>Business Analyst Intern</h3>
<p>Jun 2015 - Jul 2015</p>
</div>
<div class="timeline-content">
<h4>Bank Central Asia, Indonesia</h4>
<p><ul>
<li>Involved in Risk Scoring Project for all Bank Central Asia credit consumers in Indonesia.</li>
<li>Learned about clustering analysis for market segmentation using SPSS and SQL.</li>
</ul></p>
</div>
</div> <!-- /timeline-block -->
</div> <!-- /timeline-wrap -->
</div> <!-- /col-twelve -->
</div> <!-- /resume-timeline -->
<div class="row resume-timeline">
<div class="col-twelve resume-header">
<h2>Education</h2>
</div> <!-- /resume-header -->
<div class="col-twelve">
<div class="timeline-wrap">
<div class="timeline-block">
<div class="timeline-ico">
<i class="fa fa-graduation-cap"></i>
</div>
<div class="timeline-header">
<h3>Master Degree</h3>
<p>August 2021 - Dec 2022</p>
</div>
<div class="timeline-content">
<h4>Columbia University in the City of New York</h4>
<p><ul>
<li>Major in Computer Science</li>
<li>GPA: 3.66/4.00</li>
<li>Relevant Courses: Causal Inference, Reinforcement Learning, Fundamental Large-Scale Distributed Systems, Cloud Computing</li>
</ul></p>
</div>
</div> <!-- /timeline-block -->
<div class="timeline-block">
<div class="timeline-ico">
<i class="fa fa-graduation-cap"></i>
</div>
<div class="timeline-header">
<h3>Bachelor Degree</h3>
<p>August 2014 - May 2018</p>
</div>
<div class="timeline-content">
<h4>National University of Singapore</h4>
<p><ul>
<li>Major in Statistics, Minor in Economics</li>
<li>Bachelor of Science with Honours (First Class Honourds). GPA: 4.60/5.00</li>
<li>Recipient of Lijen Industrial Development Medal, AY 2017/2018</li>
</ul></p>
</div>
</div> <!-- /timeline-block -->
<div class="timeline-block">
<div class="timeline-ico">
<i class="fa fa-graduation-cap"></i>
</div>
<div class="timeline-header">
<h3>Exchange Program</h3>
<p>January 2017 - May 2017</p>
</div>
<div class="timeline-content">
<h4>The University of Texas at Austin</h4>
<p><ul>
<li>NUS Student Exchange Programme, Spring 2017</li>
<li>Faculty of Statistics and Data Science</li>
</ul></p>
</div>
</div> <!-- /timeline-block -->
<div class="timeline-block">
<div class="timeline-ico">
<i class="fa fa-graduation-cap"></i>
</div>
<div class="timeline-header">
<h3>Singapore-Cambridge GCE A-Level</h3>
<p>January 2012 - December 2013</p>
</div>
<div class="timeline-content">
<h4>Catholic Junior College</h4>
<p><ul>
<li>Academic Score of 85/90 points. (AAAA/A)</li>
<li>Principal Honour's List for 2012 and 2013</li>
<li>Recipient of ASEAN Scholar</li>
</ul></p>
</div>
</div> <!-- /timeline-block -->
</div> <!-- /timeline-wrap -->
</div> <!-- /col-twelve -->
</div> <!-- /resume-timeline -->
<div class="row resume-timeline">
<div class="col-twelve resume-header">
<h2>Awards</h2>
</div> <!-- /resume-header -->
<div class="col-twelve">
<div class="timeline-wrap">
<div class="timeline-block">
<div class="timeline-ico">
<i class="fa fa-award"></i>
</div>
<div class="timeline-header">
<h3> </h3>
<p>Mar 2019</p>
</div>
<div class="timeline-content">
<h4>National Data Science Competition</h4>
<p><ul>
<li>Received Most Creative Team Award for Shopee's National Data Science Competition 2019 held in Singapore. </li>
</ul></p>
</div>
</div> <!-- /timeline-block -->
<div class="timeline-block">
<div class="timeline-ico">
<i class="fa fa-award"></i>
</div>
<div class="timeline-header">
<h3> </h3>
<p>July 2018</p>
</div>
<div class="timeline-content">
<h4>Lijen Industrial Development Medal</h4>
<p><ul>
<li>Best Final Year Projects under NUS Statistics Department for AY 2017/2018.</li>
</ul></p>
</div>
</div> <!-- /timeline-block -->
<div class="timeline-block">
<div class="timeline-ico">
<i class="fa fa-award"></i>
</div>
<div class="timeline-header">
<h3> </h3>
<p>January 2010 - December 2013</p>
</div>
<div class="timeline-content">
<h4>ASEAN Scholarship</h4>
<p><ul>
<li>Fully funded scholarship for studies in Singapore schools, leading to the award of Singapore-Cambridge GCE A-Level certificate.</li>
</ul></p>
</div>
</div> <!-- /timeline-block -->
</div> <!-- /timeline-wrap -->
</div> <!-- /col-twelve -->
<div class="col-twelve resume-header">
<h2>Publications</h2>
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<p class="lead"><ul><a href="https://arxiv.org/abs/2209.00137">
<li>Sidharta, Aditya Kelvianto. "Partial Counterfactual Identification for Infinite Horizon Partially Observable Markov Decision Process." arXiv preprint arXiv:2209.00137 (2022)</li>
</a></ul></p>
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<h2>Talks</h2>
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<p class="lead"><ul><a href="https://nyc2024.pydata.org/cfp/talk/QMTELH/">
<li>PyData NYC 2024 - "Holistic root cause analysis of software breakages through structural causal modeling."</li>
</a></ul></p>
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<h3>Shopee Data Science Competition</h3>
<p>Codebase for National Data Science Competition 2019, awarded Most Creative Team Award</p>
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<h3>gombal</h3>
<p>Creating a simple Chat Bot for Facebook Messenger, written in Golang</p>
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<h3>scikit_rest</h3>
<p>Automatically deploy your ML model as a REST API</p>
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<h3>ForcuanTeller</h3>
<p>Sending Technical Analysis alert to your mobile devices</p>
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<h3>ML Server Framework</h3>
<p>Creating General Framework in Deploying ML model as a REST API Service </p>
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<h3>Humpback Whale Identification</h3>
<p>This Kaggle Competition challanges the participants to build an algorithm which identifies different species of whales based on the images of their tails. This competiton aims to help the whale conservation effort. </p>
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<h3>Salt Deposit Identification</h3>
<p>This Kaggle Competition challanges the participants to build an algorithm which identifies areas of high salt deposit concentration, given a seismic images.</p>
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<h3>Pneumonia Detection</h3>
<p>This Kaggle Competition requires the participants to build an algorithm which detects a visual signal for pneumonia in medical images. This algorithm is able automatically locate lung opacities on chest radiographs.</p>
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<p>Personal checklist, package recommendation, and directory structure for starting any kind of Machine Learning Project. </p>
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<h3>Pytorch DQN</h3>
<p>General Framework for modularized reinforcement learning framework, written in Pytorch. </p>
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<h3>Parallelized 15 Puzzle</h3>
<p>Parallel Implementation of 15 Puzzle - A* Algorithm, in Haskell. </p>
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Aditya is interested in embarking on data-driven projects that can transform your organization.</p>
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