Hi There!

Aditya Sidharta

Data Scientist Statistician Machine Learning Engineer

About Me
About Me

Leveraging Data Science to build better products

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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.

Profile

  • Fullname: Aditya Kelvianto Sidharta
  • Current Location: New York, New York
  • Current Position: Principal Associate, Data Science at Capital One
  • Email: hello@adityasidharta.com
  • Nationality: Indonesian

Skills

  • Industry Knowledge: Classical Statistics, Bayesian Statistics, Machine Learning, Causal Inference, Deep Learning, Reinforcement Learning, Data Analytics, Data Science, Data Visualization
  • Programming Langauge: Python, R, SQL
  • Data Science: Tensorflow, PyTorch, pandas, NumPy, SciPy, dbt, Matplotlib, XGBoost, scikit-learn, Jupyter Notebooks, Tableau
  • MLOps: Apache Spark, BigQuery, Apache Airflow, MLFlow, KubeFlow, Feast, Git, Gitlab CI, Docker, GCP, AWS
  • Language: English, Bahasa Indonesia
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Data Science for all industries

Aditya believes that that a data-driven approach and rigorous data science process is crucial in aiding companies to make the right business decision.

Work Experience

Principal Associate, Data Science

Jan 2022 - Present

Capital One, New York

  • Working as a Data Scientist at ML Observability team

Senior Data Scientist

September 2019 - Jul 2021

GO-JEK, Singapore

  • Developed large-scale machine learning models to optimize the allocation of GOJEK targeted promotional system to drive the number of bookings in Indonesia..
  • Productionized end-to-end machine learning pipelines and automated multiple promotional campaign executions.

Data Scientist

August 2018 - August 2019

uCare.AI, Singapore

  • 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.
  • Built patient and disease profiles using health data across different hospitals and insurance companies.
  • Developed internal Data Science tooling and APIs to improve productivity in Data Science projects.

Data Scientist

June 2018 - July 2018

Teralytics, Singapore

  • Developed a Particle Filter Algorithm to detect walking trips around Hong Kong MRT stations.
  • Supervised interns in developing Recurrent Neural Network model to perform real-time next location prediction in Berlin.
  • Refactored the MRT Individual trace estimation algorithm to improve the footfall detection for MRT stations in Singapore.

Data Science Intern

May 2017 - May 2018

Teraltyics, Singapore

  • 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.
  • Refactored the batch pipeline which processes large-scale cellular data to produce commuter analyses on public transport network in Singapore.

Sales Operation Intern

May 2016 - Jul 2016

Ecolab, Singapore

  • 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.
  • 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.

Business Analyst Intern

Jun 2015 - Jul 2015

Bank Central Asia, Indonesia

  • Involved in Risk Scoring Project for all Bank Central Asia credit consumers in Indonesia.
  • Learned about clustering analysis for market segmentation using SPSS and SQL.

Education

Master Degree

August 2021 - Dec 2022

Columbia University in the City of New York

  • Major in Computer Science
  • GPA: 3.66/4.00
  • Relevant Courses: Causal Inference, Reinforcement Learning, Fundamental Large-Scale Distributed Systems, Cloud Computing

Bachelor Degree

August 2014 - May 2018

National University of Singapore

  • Major in Statistics, Minor in Economics
  • Bachelor of Science with Honours (First Class Honourds). GPA: 4.60/5.00
  • Recipient of Lijen Industrial Development Medal, AY 2017/2018

Exchange Program

January 2017 - May 2017

The University of Texas at Austin

  • NUS Student Exchange Programme, Spring 2017
  • Faculty of Statistics and Data Science

Singapore-Cambridge GCE A-Level

January 2012 - December 2013

Catholic Junior College

  • Academic Score of 85/90 points. (AAAA/A)
  • Principal Honour's List for 2012 and 2013
  • Recipient of ASEAN Scholar

Awards

Mar 2019

National Data Science Competition

  • Received Most Creative Team Award for Shopee's National Data Science Competition 2019 held in Singapore.

July 2018

Lijen Industrial Development Medal

  • Best Final Year Projects under NUS Statistics Department for AY 2017/2018.

January 2010 - December 2013

ASEAN Scholarship

  • Fully funded scholarship for studies in Singapore schools, leading to the award of Singapore-Cambridge GCE A-Level certificate.

Publications

Talks

Portofolio

Personal Projects

Contact

I'd Love To Hear From You.

Aditya is interested in embarking on data-driven projects that can transform your organization.

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Email Me At

hello@adityasidharta.com

Call Me At

(+1) 9176676838

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