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Data Scientist/Analyst with strong analytical skills applying to a wide range of industries
Ekaraj Werawatganon
,
Lancaster, United Kingdom
Experience
Other titles
Skills
I'm offering
I am an engineering graduate who highly interested in Data Science and Big Data. I am recently graduated my masters degree in data science. I have skills and background in engineering and specializing in data science, especially in Business Intelligent. I have acquired technical knowledge and skills from my course as well as practical in research project.
Markets
United Kingdom
Links for more
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Industries
Language
English
Fluently
Ready for
Larger project
Ongoing relation / part-time
Full time contractor
Available
My experience
2020 - 2020
job
Data Scientist (Placement Project)
NHS Fylde Coast CCGs.
Working on the placement project and dissertation on the topic of "Predicting Inpatient Length-of-Stay"
• The aims of this project are to apply data mining techniques to evaluate the possibility of predicting LOS
at the point of admission and to understand the factors associated with LOS prediction
• Various machine learning algorithms were applied to the Secondary Uses Service (SUS) data from Blackpool Teaching Hospital to classify 3 different intervals of LOS as 0-1 days, 2-7 days, and more than
7 days.
• The data used in the models contains patient's information such as patient demographics, admission
reasons, diagnoses and previous admission records.
• Experiment on various interpretable Machine Learning and statistical models to solve multi-class
classification problems, including Logistic regression (One-vs-All), Decision Tree, Random Forest,
Gradient Boosting Tree and Support Vector Machine.
• The aims of this project are to apply data mining techniques to evaluate the possibility of predicting LOS
at the point of admission and to understand the factors associated with LOS prediction
• Various machine learning algorithms were applied to the Secondary Uses Service (SUS) data from Blackpool Teaching Hospital to classify 3 different intervals of LOS as 0-1 days, 2-7 days, and more than
7 days.
• The data used in the models contains patient's information such as patient demographics, admission
reasons, diagnoses and previous admission records.
• Experiment on various interpretable Machine Learning and statistical models to solve multi-class
classification problems, including Logistic regression (One-vs-All), Decision Tree, Random Forest,
Gradient Boosting Tree and Support Vector Machine.
Machine learning, Teaching, Data mining, Algorithms, Service, Support
2018 - 2018
job
Data Engineer
Toyota Tsusho Nexty Electronics (Thailand) co. ltd.
Real Time GPS probe data analysis from 140,000 cars which send every minute storing and analysing on
AWS Cloud to provide real-time traffic information for navigation system in Toyota car and Tsquare
mobile application.
• Implement Traffic Information API in each road in Thailand
• Applied Traffic information in logistics to solve Vehicle Routing problems
• Implement Logistic VRP web application to optimise time and cost for logistic section
• Generate Traffic Report dashboard from historical GPS big data using PySpark and visualized in Tableau
AWS Cloud to provide real-time traffic information for navigation system in Toyota car and Tsquare
mobile application.
• Implement Traffic Information API in each road in Thailand
• Applied Traffic information in logistics to solve Vehicle Routing problems
• Implement Logistic VRP web application to optimise time and cost for logistic section
• Generate Traffic Report dashboard from historical GPS big data using PySpark and visualized in Tableau
Data Analysis, API, AWS, Big Data, Cloud, Tableau, Mobile Application, GPS, Web, Pyspark
My education
2019
-
2020
LANCASTER UNIVERSITY
MSc, Data Science
MSc, Data Science
2014
-
2018
CHLALONGKORN UNIVERSITY
bachelor in engineering, survey engineering
bachelor in engineering, survey engineering
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