Open to data science, AI/ML & analytics opportunities

DATA SCIENCE · AI · MACHINE LEARNING

Turning complex data into useful decisions.

I’m Aeint Shune Thar, a data scientist with experience spanning healthcare technology, machine learning research, urban mobility analytics and real-world software delivery.

Explore my work ↘ Request CV ✉

GitHub ↗ LinkedIn ↗ Email ↗

Data Scientist

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Healthcare AIMIMIC-IV · EHR · Imputation

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2 publicationsJournal + IEEE conference

30+Hospital implementations supported

2Peer-reviewed publications

3Featured applied data projects

Full stackData → modelling → communication

01 / ABOUT

Technical depth, real-world context.

My work sits at the intersection of data science, AI, healthcare and human-centred problem solving.

I enjoy the complete data workflow: collecting and validating messy real-world data, building reproducible pipelines, exploring patterns, developing and evaluating models, and communicating findings clearly to technical and non-technical stakeholders.

Before specialising in data science, I worked in healthcare IT as a programmer and project manager, giving me practical experience with EHR, EMR and LIS systems, software delivery, integrations, training and stakeholder collaboration.

Aeint Shune Thar on graduation day — Curiosity, research and continuous learning are central to how I work.

02 / EDUCATION

Education shaped by data, AI and applied research.

2025–2026

Master of Science (MSc)

Data Science

University of Sheffield · United Kingdom

✦ International Postgraduate Taught Merit Scholarship

2022–2025

Master of Engineering (MEng)

Artificial Intelligence & Internet of Things

SIIT, Thammasat University · Thailand

✦ TAIST–Science Tokyo Fully Funded Scholarship

03 / FEATURED SKILLS

A practical toolkit for data science and AI.

Programming languages, web technologies, machine learning, analytics, cloud, engineering and domain skills for applied data and AI work.

Programming Languages

PythonSQLRJavaJavaScriptRubyCC++MATLAB

Data Programming & Pipelines

PandasNumPyData CleaningData IntegrationETLData PipelinesDatabase DesignSQL Query Optimisation

Machine Learning & AI

Machine LearningDeep Learningscikit-learnTensorFlowKerasXGBoostFeature EngineeringDimensionality ReductionClassificationModel EvaluationExperimental Design

Statistics & Analytics

StatisticsProbabilityStatistical ModellingEDATime-Series DataHigh-Dimensional DataMatplotlibSeabornPower BIExcelSPSS

Data Engineering, Cloud & Tools

Apache SparkPySparkDatabricksKNIMEDockerLinuxAWSMicrosoft AzureGitGitHubJupyter NotebookGoogle ColabRStudioVS CodeIntelliJ IDEAEclipse IDE

Web Technologies

HTML5CSS3JavaScriptNode.jsFlaskREST APIsWeb Application DevelopmentFull-Stack DevelopmentResponsive Web Design

Software Engineering

Object-Oriented Programming (OOP)Software ArchitectureDatabase DesignREST API DevelopmentSoftware Development Life Cycle (SDLC)Unit TestingIntegration TestingUser Acceptance Testing (UAT)Debugging & TroubleshootingAgile DevelopmentTechnical Documentation

Healthcare & Research

Healthcare AnalyticsEHREMRLISHL7Clinical DataMIMIC-IVUrban Mobility AnalyticsResearch CommunicationStakeholder Communication

04 / FEATURED PROJECTS

Selected work.

Three projects that show how I approach real data, modelling and communication.

MSc Dissertation · Healthcare Data · 2026

Robust Comparison of Imputation Methods for ICU Electronic Health Records

Investigating missingness patterns in MIMIC-IV and comparing statistical, machine-learning and temporal approaches for reconstruction quality and downstream ICU mortality prediction.

PythonMIMIC-IVMICEkNNXGBoostROC-AUC

University of Sheffield Internship · 2026

Urban Mobility & Weather Analytics

Built reproducible Python workflows to collect, validate, clean, aggregate and analyse Sheffield mobility sensor data alongside Met Office weather data, producing visual insights and stakeholder-ready reporting.

pandasEDAFeature EngineeringTime SeriesVisualisation

MEng Research · AI/ML · 2022–2025

Deep Learning-Based Microplastic Identification Using FTIR Spectra

Developed and compared machine-learning and deep-learning models for multi-class microplastic identification, including dimensionality reduction, noisy spectra experiments and a desktop classification application.

TensorFlowCNNFTIRDimensionality ReductionFlask

05 / EXPERIENCE

From software delivery to applied data science.

May–Jun 2026

Data Collection & Pre-processing Assistant (Spring Internship)

University of Sheffield · Sheffield, UK

Completed a Spring Internship processing large-scale urban mobility and weather data, developing reproducible analytics workflows, creating visualisations, and communicating findings to stakeholders.

Oct 2025–Jun 2026

DDSS Lab & Exam Support Worker

University of Sheffield

Supported computer science students in technical labs and formal assessments, helping provide accessible and inclusive learning while following university procedures.

Nov 2025–Jun 2026

Active Student Voice Group Partner

University of Sheffield

Contributed to research on students’ use of assessment feedback through surveys, focus groups, data interpretation, resource development and presentations at university education events.

2022–2025

Teaching Assistant & Exam Proctor

SIIT, Thammasat University · Bangkok, Thailand

Supported Java programming, object-oriented programming, data structures and algorithms through labs, quizzes, feedback and assessments.

2021–2022

Project Manager

ANZER IT Healthcare Solutions Asia

Led EHR and LIS implementations across hospital environments, coordinating delivery, risks, cross-functional teams, training and post-go-live support.

2017–2021

Programmer

ANZER IT Healthcare Solutions Asia

Developed, tested and maintained healthcare software modules spanning EHR, EMR and LIS systems, with database, QA, integration and user-support responsibilities.

06 / RESEARCH & PUBLICATIONS