Hi There!

Aditya Sidharta

Data Scientist Statistician

About Me
About Me

Driving powerful insights through data analytics

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Aditya Sidharta graduated from National University in Singapore with a bachelor degree in Statistics. Aditya has a keen interest in data science, especially in the field of Deep Learning and Bayesian Statistics.


  • Fullname: Aditya Kelvianto Sidharta
  • Birth Date: November 25, 1994
  • Current Job: Data Scientist, GO-JEK (Singapore)
  • Email: aditya.sdrt@gmail.com
  • Nationality: Indonesian


  • Industry Knowledge: Classical Statistics, Bayesian Statistics, Machine Learning, Deep Learning, Reinforcement Learning, Data Analytics, Data Science, Data Visualization
  • Programming Langauge: Python, R, SQL
  • Personal Toolkit: Pytorch, Keras, scikit-learn, lightgbm, xgboost, hyperopt, Pyspark, Numpy, Pandas, Scipy, Matplotlib, Plotly, Seaborn, Tableau
  • Language: English, Bahasa Indonesia

Data Science for all industries

Aditya believes that data analytics will result in better decisions to improve products and services offered by organizations in any industry. He believes that a data-driven organization will make better business decisions.

Work Experience

Data Scientist

September 2019 - Present

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.


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 2017/208

Bachelor Degree (Exchange)

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


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.


Exploring new model one at a time

Outside work, Aditya is a passionate Kaggler and Massive Open Online Course (MOOC) enthusiast. Aditya is really excited to learn about new technologies which improves the way we live.


From Data to Insights

Acquiring insights from your data starts from figuring out what do you want to gain from it. From asking the right business questions, to applying the state-of-art techniques in uncovering hidden insights, Aditya is excited to be a part of the journey.

Fun Facts

Numbers in Action


Personal Repositories


Hackathon & Competitions


MOOC Certifications


ML Model Trained


Coffee Cups


GPU Training Hours

I'd Love To Hear From You.

Aditya is interested in embarking on data-driven projects that can transform your organization. If you have a project that he can help with, please get in touch.

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Call Me At

(+65) 8410 1140