Services



Data Analysis

Developing dashboards with PowerBI and Quicksight, and conducting analysis to generate insights. Proficient in SQL, Python, and PySpark, and skilled in using Excel and Google Sheets.



Data Science

Build, maintain, and deploy machine learning models. Implement the end-to-end process from model design to deployment. Conduct exploratory data analysis, feature engineering, and hyperparameter tuning to optimize model performance.



Data Engineering

Design, build, and manage data warehouse and database infrastructure. Develop ETL processes and automate data pipelines with Airflow. Experienced in working with AWS.

LinkScope

Developed a user-centric web application using machine learning model to classify phishing links and safe links.

MEB E-book Price Prediction

Developed a machine learning model for e-book price prediction for MEB, a well-known e-book platform in Thailand. Leveraged skills in feature engineering and algorithm selection.

Ebay Data Warehouse

Designed the eBay Data Warehouse, implemented a full data pipeline on AWS, and created BI dashboards using AWS QuickSight

KPI Progress

Involved a comprehensive data engineering process, data cleansing, ETL tasks, and the development of a dashboard to assess KPI progress.

PDE Record

Calculated the reported working hours by PDEs (Project Development Engineers) and tracked job completeness.

E-workflow

Analyzed the E-workflow process to track on-hand, completed, and urgent jobs from the company’s website database.

Customer Utilities

Analyzed technologies and solutions tailored to different customers' needs. The ultimate goal was to find suitable solutions for new customers.

Parsable Project

Analyzed the IoT data to enable real-time monitoring and decision-making, and implemented control chart to identify anomalies.

E-contract

Calculated the number of overdue contracts and the days overdue for each department to monitor contract timelines effectively

Meeting Rating

Evaluated the performance of meeting organizers based on attendee ratings, comments, and specified criteria to enhance meeting effectiveness.

B Proud Project

Analyzed data to gain insights into peer-to-peer compliments exchanged among employees based on behaviour and corporate impact criteria