Siravich KhongrodFull-stack Data Scientist
+1 312 770 0382
ArcGIS, Python, R, SAS, SPSS, WEKA
Oracle Data Integrator, SSIS, SSRS, Tableau
Hadoop, Hive, Pig, MongoDB, MS SQL Server, Oracle PL/SQL, Vertica
AWS, Heroko Cloud, Github
How I spend my time
Worked closely with infrastructure, front-end teams as well as business analysts in payment systems, finance, and business development departments, developed solutions of cross platform data transformation and BI tools to enhance business decisions.
Utilize big data to deliver meaningful information that adds business value. I develop data models of large data processing that would allow business users to get insights from data using MOLAP cube technology. I also work closely with finance to produce global reports such as general ledger, profit and loss.
Data Migration in Core Banking: Take major role in data migration execution through datacut cycles for data quality assurance handling. This involved configuration and optimization of reduntdant data store system, defect data models, coordination with infrastructure team, and progress tracking. In addition, perform data analysis based on functional requirements for data cleansing and work with Business Unit for exception handling
Enterprise Data Warehouse for Thailand Banking Group in Life Insurance Service: Assigned role covers functional and technical having responsibilities of data initialization, data extraction and framework development. The role also includes design, build, monitor, and optimize batch data extraction scheduling system.
Application Developer for Writeprint Pattern Matching Project: Design and develop Java Application to demonstrate use of Apriori frequent item set mining algorithm to find association of numerical representation of stylometric characteristics of a written text. This project derived from the first phase, Authorship Attribution Analysis of Thai Online Messages which is the initial process of feature extraction.
Many home automation systems today rely on a single supervision or central control system which links to all the sensors and control units. Apart from having users have to invest a large amount of money for such system, the system has to be initially implemented or re-implemented with subject to changes by specialists. Moreover, there are certain limitations to hardware capabilities such as computational power, number of interface, physical hardware reachability.
This project proposes a different approach for such system having many units of low computational power control system as nodes distributed across a networked system.
The motivation was to apply text search to resumes on a live cloud platform in order to determine a candidate according to certain job qualifications. I’m using Heroku as the cloud platform and Flask as a Python Web Application Framework.