Kanyanut Homsapaya, Ph.D.
EXPERTISE
BIO
I have over 15 years of professional experience in the Information Technology field, with a strong background in leading projects across machine learning, data mining, business intelligence, banking, and data warehousing. My expertise includes managing ETL processes, building data marts, data lakes, data pipelines, and developing predictive models, classification systems, image object detection, clustering, and feature selection using genetic algorithms. In addition to my technical skills, I have served as a Project Leader, successfully managing ERP consulting projects and the implementation of solutions across diverse industries including retail, telecommunications, manufacturing, airlines, and oil and gas. My leadership approach focuses on aligning technical solutions with business.
WORK EXPERIENCE
A lecturer, AWS Instructor, Researcher
Kasetsart University
May 2023 - Present
Academic and Research Experience As an accomplished academic professional with extensive experience in teaching, mentoring, and research, I have guided over 120 undergraduate students in various technology-related subjects. My primary areas of instruction include cloud computing, programming principles, and data science, with a focus on practical applications and real-world problem-solving. Teaching and Mentoring Experience: Lecturer in Cloud Computing, specializing in AWS. Lecturer in Principles of Programming, covering Java and Python. Lecturer in AI and Data Analysis, utilizing Python programming and AWS Sagemaker sandbox. Mentored graduate students on thesis projects, offering guidance on research methodologies and project development. Advised students on course selection and research topics to align with their academic and career goals. Assessed student projects, papers, and presentations, providing constructive feedback and evaluations. Research Experience: Developed predictive models in data science and data engineering, focusing on healthcare and insurance domains. Key projects include: Osteoporosis Predictive Model Spine Classifier Model Fraud Claim Detection Model Feature Selection using Niching Algorithm MLOps Process Implementation in Manufacturing My work bridges theoretical knowledge with practical application, equipping students with the skills needed to excel in the rapidly evolving tech industry.
System Analyst Leader
NTT Co. Ltd.
January 2023 - March 2023
- Internet payment system which uses a payment gateway to handle the credit card payment/ cash transfer transaction between customers, merchants and banks. To test and evaluate the payment system, we build reconciliation reports to help users verify data between source systems. • Supporting online payment system and design/support enhancement requirements. • Design, Analysis of data sources of all payment systems (EBS, BS, Card Link) for calculating cash in, cash out and money deposit to bank account. • Design Data cleansing and ETL Programming for Reconcile project. • Design system (Database, Backend API, Mobile application, Web portal) – Onboarding new process (Prompt pay, VISA and Credit Card) with related business type risk factors. • Lead Testers – prepare data, simulate business testcase and SQL scripts.
Data Science, Data Engineer Leader and Project Management
Cigna Insurance Company
January 2019 - March 2022
- Transformation leader to deploy AI technology to merge with operational processes - Designed and implemented a suspicious fraudulent claim model by using Random Forest and XGBoost to detect transactions that have automatically Reduced the claim expense ROI by 10% and saved 10 hours/day of the working time of claim assessors. - Designed and implemented a non-communicable disease machine learning model to provide cost containment and reduce claim costs by 5–10% • Designed and implemented a health index score model by using multiple regression to measure the health of individuals and prognoses. This is a new tool used to measure health outcomes and risk factors. Moreover, it helps to promote customer health segmentation with different levels: healthy, at risk, chronically ill, sick, and in recovery. • Designed, extracted, and implemented clinical data, business insight, a claim data mart, ETL processes, and business intelligence dashboards. These visualization tools have had a positive impact on sale revenue, provided claim cost containment ROI of 8%, and improved time efficiency to the market. • Managed data cleansing and designed dimension modelling for insight analytic reports. • Calculated the loss ratio of group business insurance and helped the underwriting actuary to calculate the price of insurance packages. • Reported insight data to the head of the department and provided warnings for business protection • Using Transcribed speech to text data (Unstructured data: JSON) to do text analytics. (Sale and customer conversation)
ETL Developer, Project Leader
DTAC Telecommunication
January 2009 - December 2012
DTAC Telecommunication – Strong in Business Analyst, System Analyst and ETL Developer. A. ETL development by using Oracle ODI and Teradata databases. ✓ ETL for the Campaign area for gathering many data sources to the landing zone, using Data stage to pull data into T2 (star schema) ✓ Tuning the performance of ETL processes. B. Business and systems analyst – Gathering Telco requirements for the analysis and design of star schema. i. Data Mapping from sources to target (T2 and T3) ii. Analysis Business requirements and mapping data with data marts. C. Business intelligence developer – Creating reports by using SAP BO. D. Data engineer for data mining (SAS) – ETL programming for a data mining mart
Technical Consultant - ERP
Tectura Corp.
January 2004 - March 2008
Technical Consultant at Chevron Oil and Gas to implement Financial and Inventory module. Technical Consultant at Nok Air Co. Ltd for Financial/GL entry and customized reporting suite. Navision Developer at Honda Co. Ltd for Financial/GL entry, Purchase, and Inventory. Customizing Thai localization, the Sales Credit Note process, the Purchase request process,the Indirect allocation of material cost and semi-product, the Inventory costing report, and the Service Invoice reports. Supporting a Finance consultant and analysis gap requirement. Conduct SIT and UAT testing. Set upthe UAT environment for user testing Supporting the Supply Chain Management module. Developer and Systems Analyst at Jewelry Factory for the costing module, GL entry, VAT and Financial module.
EDUCATION
Doctoral degree
National Institute of Development Administration (NIDA), January 2018
Computer Science And Information System
Master degree
National Institute of Development Administration (NIDA), January 2009
Information System Management
Bachelor degree
Srinakarinwirot Prasanmit, April 2004
Computer Science
Verified Technical Project Manager
8+ years of experience
Preferred commitment: Part Time
Languages
Skills
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