Reju Sam John
Data Scientist | Computational Epidemiologist | ML Consultant
Flat 2, 21 Aliford Avenue, One Tree Hill
Summary
Data Scientist familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in Astrophysics, Computational Epidemiology, Python, SQL, Machine Learning, and NLP.
Overview
14
14
years of professional experience
14
14
years of post-secondary education
15
15
Certificates
Work History
Machine Learning (ML) Consultant
Molecular Epidemiology and Public Health Laboratory, Massey University
04.2025 - Current
- Analyzing bat data sets, design and implement statistical models in STAN.
- Apply Bayesian inference techniques to fit discrete-time models to real-world infection and seroprevalence data.
QC Operator
Fisher & Paykel Healthcare
08.2024 - Current
- Played an integral role in product development projects by providing expert input on potential quality-related issues and recommending design modifications as necessary.
Postdoctoral Research Fellow - Data Science
The University of Auckland
01.2023 - 03.2024
- Designed and implemented machine learning models to predict information flow in social networks.
- Developed novel research methodologies for improved data analysis and interpretation.
Postdoctoral Research Fellow - Data Scientist
Massey University
11.2020 - 01.2023
- Built scalable data pipelines using APIs and web scraping tools to collect and clean large-scale, multi-dimensional datasets for network and behavioural analysis.
- Designed predictive models using Python and statistical methods, achieving 90% accuracy in forecasting epidemic trends - showcasing skills in ML, data engineering, and applied modeling.
- Developed and maintained structured databases for epidemiological data, ensuring data quality, accessibility, and readiness for downstream AI applications.
Postdoctoral Research Fellow - Simulation, Data Analytics, & Machine Learning
The Inter-University Centre for Astronomy and Astrophysics
08.2018 - 11.2020
- Designed automated data pipelines and processing systems for large-scale (1TB+) datasets, improving analysis speed and enabling real-time monitoring of outputs.
- Applied machine learning algorithms and statistical inference to uncover patterns in complex data, enhancing model performance and actionable insights.
- Built custom visualisation tools in Python to communicate multi-dimensional results, supporting collaboration and data-driven decision-making.
Visiting Fellow
Georgia Tech
04.2019 - 04.2019
- Contributing to the development of the next-generation Enzo code project (https://enzo-project.org/)
Project Assistant-III
Department of Physics, SP Pune University
01.2018 - 05.2018
- Provided assistance with preparation of project-related reports, manuscripts and presentations
Teaching Assistant
Pondicherry Engineering College
03.2011 - 11.2017
- Helped with grading assignments and tests, providing constructive feedback to students based on results.
- Supported classroom activities, tutoring, and reviewing work.
Education
Ph.D. - Physics
Pondicherry University
Pondicherry 11.2010 - 08.2018
Bachelor of Education - Physical Science
Mahatma Gandhi University
Kerala, India 11.2008 - 11.2009
Master of Science - Physics
Mahatma Gandhi University
Kerala, India 06.2006 - 08.2008
Bachelor of Science - Physics
Mahatma Gandhi University
Kerala, India 06.2003 - 03.2006
Skills
Machine learning expertise
Certification
ICH Good Clinical Practice
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Quote
Imagination is everything. It is the preview of life’s coming attractions.
Albert Einstein
Timeline
Train the Trainer
04-2025
Deep Learning: Getting Started
04-2025
Data Science on Google Cloud Platform: Building Data Pipelines
04-2025
NLP with Python for Machine Learning Essential Training
04-2025
Applied Machine Learning: Ensemble Learning
04-2025
Artificial Intelligence Foundations: Machine Learning
04-2025
Programming Foundations: Artificial Intelligence
04-2025
Machine Learning (ML) Consultant
Molecular Epidemiology and Public Health Laboratory, Massey University
04.2025 - Current
Amazon Web Services (AWS) Machine Learning Essential Training
03-2025
ICH Good Clinical Practice
08-2024
QC Operator
Fisher & Paykel Healthcare
08.2024 - Current
Machine Learning with Python: Decision Trees
04-2024
Machine Learning with Python: Foundations
03-2024
Machine Learning with Python: k-Means Clustering
03-2024
Hands-On Data Science using SQL, Tableau, Python, and Spark
03-2024
Introduction to Data Science
03-2024
SQL Essential Training
03-2024
Postdoctoral Research Fellow - Data Science
The University of Auckland
01.2023 - 03.2024
Postdoctoral Research Fellow - Data Scientist
Massey University
11.2020 - 01.2023
Visiting Fellow
Georgia Tech
04.2019 - 04.2019
Postdoctoral Research Fellow - Simulation, Data Analytics, & Machine Learning
The Inter-University Centre for Astronomy and Astrophysics
08.2018 - 11.2020
Project Assistant-III
Department of Physics, SP Pune University
01.2018 - 05.2018
Teaching Assistant
Pondicherry Engineering College
03.2011 - 11.2017
Ph.D. - Physics
Pondicherry University
11.2010 - 08.2018
Bachelor of Education - Physical Science
Mahatma Gandhi University
11.2008 - 11.2009
Master of Science - Physics
Mahatma Gandhi University
06.2006 - 08.2008
Bachelor of Science - Physics
Mahatma Gandhi University
06.2003 - 03.2006
Personal Information
Available: Available with 1 Week Notice
Disclaimer
I, hereby, declare that the aforementioned information is true to my knowledge and experience.
Residency
Permanent Resident of New Zealand
Disclaimer
I, hereby, declare that the aforementioned information is true to my knowledge and experience.
Dr Reju Sam John
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