Open to opportunities
Hi, I'm Sarunchana
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Data Scientist with industry experience in production ML, pricing optimization, and large-scale A/B testing. Pursuing an MSc in AI at UZH, with a growing interest in bringing these methods to finance and healthcare — where good decisions from messy data really matter.
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What I Work With
Skills & Technologies
🧪
Core Data Science
PythonNumPyPandasMatplotlibSeabornTableauPlotly
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Machine Learning
scikit-learnLightGBMFeature EngineeringSHAPModel EvaluationPyTorchTensorFlow
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LLMs & GenAI
RAGPrompt EngineeringFAISSClaude Code
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Big Data
Apache SparkHadoopPySparkSQLBigQuery
My Work
Featured Projects
Click any card to expand and read about the outcomes, methods, and results.
From Static to Dynamic: Survival Analysis for Cashback Claim Rate Forecasting
Replacing a static claim rate predictor with a hazard rate model — enabling fresher training data, daily-updating predictions, and a more correct logical framing of the cashback claimability timeline.
Hazard Rate ModelingLightGBMMetric DecompositionTime-Series PredictionProduction MLModel Calibration
Rewriting the Rules: A New Capping System for Pricing Optimization
Replacing a sequential hard-capping algorithm with a simultaneous soft-capping system — transforming large "insensitive" regions of the optimization space into regions where price signals can actually be read and acted on.
Algorithm DesignProduction System ImplementationParameter TuningOptimizationCross-Team Technical Communication
Teaching a Pricing Engine When to Stop
Designing intelligent slowdown mechanisms for production reinforcement learning models — preventing overshooting when market conditions shift, without permanently handicapping optimization range.
Reinforcement LearningConstraint OptimizationPricing StrategyCost-Benefit AnalysisProduction ML
One Threshold Doesn't Fit All Markets
Replacing a fixed outlier-clipping threshold with a dynamic, destination-aware formula — reducing variance in the pricing signal while treating large and small markets proportionally.
Outlier DetectionVariance ReductionPricing AnalyticsParameter Fitting
My Journey
Experience & Education
Education
Sep 2025 – Present
MSc Informatics (Major: Artificial Intelligence, Minor: Banking & Finance)
University of Zurich·Zurich, Switzerland
- Coursework spans Advanced Topics in AI, Quantitative Finance, Vision Algorithms for Mobile Robotics, Empirical Methods, and the intersection of AI with healthcare and finance.
- Master's Project: Disentangling Human Behavior Using DisLRUs — evaluating the algorithm between BPTT and RTRL (Neuroeconomics Lab).
2025
2025
Work
Apr 2022 – Aug 2025
Senior Data Scientist
Agoda Services Co., Ltd.·Bangkok, Thailand
- Pricing Optimization: Optimized global automated pricing systems by leveraging Reinforcement Learning and survival analysis to enhance signal stability, predictive accuracy, and cost forecasting.
- Experimentation & Inference: Scaled experimental rigor through ML-driven predictive frameworks and statistical simulations, accelerating decision-making and feasibility analysis for large-scale A/B testing.
- Check 'Featured Projects' section for more details.
Work
Jan 2021 – Mar 2022
Associate Data Scientist
Sertis Co., Ltd.·Bangkok, Thailand
- Supply Chain Optimization: Improved a multi-objective steel cutting model to minimize a weighted combination of yield loss, production cost, and inventory cost — extended it to handle real-world edge cases, deployed on Google Cloud in collaboration with the client, and demonstrated the optimized schedule achieved lower total cost than manually engineered production plans.
- Demand Forecasting: Enhanced the promotion modeling component of an FMCG demand forecasting pipeline by generalizing it to handle promotions of varying duration, improving predictive accuracy across enterprise client deployments.
2022
2021
Education
Aug 2017 – May 2021
Bachelor of Engineering in Computer Engineering
Sirindhorn International Institute of Technology, Thammasat University·Bangkok, Thailand
- Graduated with First Class Honours.
- Senior project: Real (Estate) Value System -- Developed a model utilizing geospatial data to predict land/house price on any arbitrary point on Chiang Mai map along with insights on the attributes contributing to its higher or lower value, Deployed an API that allows real-time access to model predictions and the database
- Relevant coursework: Machine Learning and Pattern Recognition, Computer Vision, Deep Learning, Data Structure and Algorithms
Bootcamp
Jun 2020 – Jul 2020
Data Science Internship Bootcamp
KBTG (Kasikorn Business-Technology Group)·Nonthaburi, Thailand
- Developed a credit card propensity-to-revolve model to identify customers with a high likelihood of revolving credit usage
- Created a clustering model to segment users based on their spending behaviors and identified themes for potential marketing campaigns
- Received the Best Business Analytics Award
2020
Education
Sep 2025 – Present
MSc Informatics (Major: Artificial Intelligence, Minor: Banking & Finance)
University of Zurich·Zurich, Switzerland
- Coursework spans Advanced Topics in AI, Quantitative Finance, Vision Algorithms for Mobile Robotics, Empirical Methods, and the intersection of AI with healthcare and finance.
- Master's Project: Disentangling Human Behavior Using DisLRUs — evaluating the algorithm between BPTT and RTRL (Neuroeconomics Lab).
Work
Apr 2022 – Aug 2025
Senior Data Scientist
Agoda Services Co., Ltd.·Bangkok, Thailand
- Pricing Optimization: Optimized global automated pricing systems by leveraging Reinforcement Learning and survival analysis to enhance signal stability, predictive accuracy, and cost forecasting.
- Experimentation & Inference: Scaled experimental rigor through ML-driven predictive frameworks and statistical simulations, accelerating decision-making and feasibility analysis for large-scale A/B testing.
- Check 'Featured Projects' section for more details.
Work
Jan 2021 – Mar 2022
Associate Data Scientist
Sertis Co., Ltd.·Bangkok, Thailand
- Supply Chain Optimization: Improved a multi-objective steel cutting model to minimize a weighted combination of yield loss, production cost, and inventory cost — extended it to handle real-world edge cases, deployed on Google Cloud in collaboration with the client, and demonstrated the optimized schedule achieved lower total cost than manually engineered production plans.
- Demand Forecasting: Enhanced the promotion modeling component of an FMCG demand forecasting pipeline by generalizing it to handle promotions of varying duration, improving predictive accuracy across enterprise client deployments.
Education
Aug 2017 – May 2021
Bachelor of Engineering in Computer Engineering
Sirindhorn International Institute of Technology, Thammasat University·Bangkok, Thailand
- Graduated with First Class Honours.
- Senior project: Real (Estate) Value System -- Developed a model utilizing geospatial data to predict land/house price on any arbitrary point on Chiang Mai map along with insights on the attributes contributing to its higher or lower value, Deployed an API that allows real-time access to model predictions and the database
- Relevant coursework: Machine Learning and Pattern Recognition, Computer Vision, Deep Learning, Data Structure and Algorithms
Bootcamp
Jun 2020 – Jul 2020
Data Science Internship Bootcamp
KBTG (Kasikorn Business-Technology Group)·Nonthaburi, Thailand
- Developed a credit card propensity-to-revolve model to identify customers with a high likelihood of revolving credit usage
- Created a clustering model to segment users based on their spending behaviors and identified themes for potential marketing campaigns
- Received the Best Business Analytics Award
Get In Touch
Let's Connect
Whether you have a project in mind, want to collaborate on research, or just want to say hi — feel free to reach out on any of the platforms below. I typically respond within 24 hours.