Lead Data Engineer

• Apr 2023 - Present

Data Engineer

• Sep 2022 - Mar 2023

Data Scientist

• Aug 2021 - Aug 2022

Data Scientist

• Mar 2020 - Aug 2021

- Analyzed massive data set and developed the data model deployed in a SaaS application that helps hospitals publish their pricing information to promote pricing transparency in healthcare - Awarded the FY21 Internal Team of the Year Award, as part of the Trisus Pricing Transparency (TPT) Team, for building and launching the TPT application - Used Azure Databricks to build applications in PySpark for extracting insights from various data sources, e.g. claim, chargemaster, medical… Show more - Analyzed massive data set and developed the data model deployed in a SaaS application that helps hospitals publish their pricing information to promote pricing transparency in healthcare - Awarded the FY21 Internal Team of the Year Award, as part of the Trisus Pricing Transparency (TPT) Team, for building and launching the TPT application - Used Azure Databricks to build applications in PySpark for extracting insights from various data sources, e.g. claim, chargemaster, medical supplies, and CMS SAF files. Show less - Analyzed massive data set and developed the data model deployed in a SaaS application that helps hospitals publish their pricing information to promote pricing transparency in healthcare - Awarded the FY21 Internal Team of the Year Award, as part of the Trisus Pricing Transparency (TPT) Team, for building and launching the TPT application - Used Azure Databricks to build applications in PySpark for extracting insights from various data sources, e.g. claim, chargemaster, medical… Show more - Analyzed massive data set and developed the data model deployed in a SaaS application that helps hospitals publish their pricing information to promote pricing transparency in healthcare - Awarded the FY21 Internal Team of the Year Award, as part of the Trisus Pricing Transparency (TPT) Team, for building and launching the TPT application - Used Azure Databricks to build applications in PySpark for extracting insights from various data sources, e.g. claim, chargemaster, medical supplies, and CMS SAF files. Show less

Teaching Assistant Data Science

• Nov 2020 - Jan 2021

- Assisted in running the course “Data Science Essential”, an 8-week online course teaching practical and essential topics in data science for Thai students and professionals, having more than 400 learners enrolled. - Led the coding sessions on the topic of Data Analytics, Predictive Models (Classification & Regression), Customer Segmentation, and Recommendation Systems, using python and Google Colab. - Guided students in completing end-to-end data science group projects. - Assisted in running the course “Data Science Essential”, an 8-week online course teaching practical and essential topics in data science for Thai students and professionals, having more than 400 learners enrolled. - Led the coding sessions on the topic of Data Analytics, Predictive Models (Classification & Regression), Customer Segmentation, and Recommendation Systems, using python and Google Colab. - Guided students in completing end-to-end data science group projects.

Data Science Fellow

• Jun 2019 - Mar 2020

- Developed a ​web application (written in ​Python and deployed with ​Dash and ​Heroku​) for forecasting crime occurrences in Boston utilizing a ​boosted decision trees classifier and the combined information obtained by ​web scraping​/​web API​, successfully predicted the crime occurrences with a performance 14% better than a ​logistic regression​ classifier - Developed a ​web application (written in ​Python and deployed with ​Dash and ​Heroku​) for forecasting crime occurrences in Boston utilizing a ​boosted decision trees classifier and the combined information obtained by ​web scraping​/​web API​, successfully predicted the crime occurrences with a performance 14% better than a ​logistic regression​ classifier

Research Assistant

• Oct 2015 - Mar 2020

- Applied ​machine learning algorithms (​gradient boosted decision trees​) to extract signals of new particles from large datasets of proton collision data at the CERN Large Hadron Collider (LHC), achieved a 20% better performance than the conventional method, resulted in a publication - Created an end-to-end ​data analysis workflow (written in ​Python and ​C++​) that is used in analyzing ​terabytes of data from proton collisions to test the precision of particle physics models, discovered… Show more - Applied ​machine learning algorithms (​gradient boosted decision trees​) to extract signals of new particles from large datasets of proton collision data at the CERN Large Hadron Collider (LHC), achieved a 20% better performance than the conventional method, resulted in a publication - Created an end-to-end ​data analysis workflow (written in ​Python and ​C++​) that is used in analyzing ​terabytes of data from proton collisions to test the precision of particle physics models, discovered agreement in unexplored kinematic regions, resulted in 2 publications Show less - Applied ​machine learning algorithms (​gradient boosted decision trees​) to extract signals of new particles from large datasets of proton collision data at the CERN Large Hadron Collider (LHC), achieved a 20% better performance than the conventional method, resulted in a publication - Created an end-to-end ​data analysis workflow (written in ​Python and ​C++​) that is used in analyzing ​terabytes of data from proton collisions to test the precision of particle physics models, discovered… Show more - Applied ​machine learning algorithms (​gradient boosted decision trees​) to extract signals of new particles from large datasets of proton collision data at the CERN Large Hadron Collider (LHC), achieved a 20% better performance than the conventional method, resulted in a publication - Created an end-to-end ​data analysis workflow (written in ​Python and ​C++​) that is used in analyzing ​terabytes of data from proton collisions to test the precision of particle physics models, discovered agreement in unexplored kinematic regions, resulted in 2 publications Show less

Research Assistant

• Sep 2012 - Dec 2019

- Conducted research in Experimental Particle Physics within the CMS collaboration at the CERN LHC - Collaborated with researchers around the world to operate one of the main particle physics detectors at CERN and ensure the ​quality of the data recorded, developed automation scripts to evaluate and maintain the ​database of calibration constants of the detector - Conducted research in Experimental Particle Physics within the CMS collaboration at the CERN LHC - Collaborated with researchers around the world to operate one of the main particle physics detectors at CERN and ensure the ​quality of the data recorded, developed automation scripts to evaluate and maintain the ​database of calibration constants of the detector

Radiation Physicist

• Oct 2009 - Jun 2012

- Applied ​statistical methodology (​error analysis​, ​hypothesis testing​) to design, assess, and maintain the measurement standards of radioactivity at the national level for Thailand - Managed the institution’s calibration service that provided calibrations and certifications of more than 1,000 radiation detection instruments each year - Built mathematical models (regression, interpolation) to estimate the properties and dimension of radiation shields, supporting the decision on the… Show more - Applied ​statistical methodology (​error analysis​, ​hypothesis testing​) to design, assess, and maintain the measurement standards of radioactivity at the national level for Thailand - Managed the institution’s calibration service that provided calibrations and certifications of more than 1,000 radiation detection instruments each year - Built mathematical models (regression, interpolation) to estimate the properties and dimension of radiation shields, supporting the decision on the design of new laboratories Show less - Applied ​statistical methodology (​error analysis​, ​hypothesis testing​) to design, assess, and maintain the measurement standards of radioactivity at the national level for Thailand - Managed the institution’s calibration service that provided calibrations and certifications of more than 1,000 radiation detection instruments each year - Built mathematical models (regression, interpolation) to estimate the properties and dimension of radiation shields, supporting the decision on the… Show more - Applied ​statistical methodology (​error analysis​, ​hypothesis testing​) to design, assess, and maintain the measurement standards of radioactivity at the national level for Thailand - Managed the institution’s calibration service that provided calibrations and certifications of more than 1,000 radiation detection instruments each year - Built mathematical models (regression, interpolation) to estimate the properties and dimension of radiation shields, supporting the decision on the design of new laboratories Show less