About me

Hello! I am Krittaprot or Ode. I recently graduated with a master degree in analytics from Georgia Institute of Technology on May 4, 2024!
I am driven by the urge to make day to day business operations more efficient in a sustainable way through a combination of domain knowledge, data analytics, and human-centered design approaches.
Have some coffee and hope you enjoy my webpage :)

Skills

As a professional in analytics and engineering, I have developed a diverse set of skills, ranging from data analysis, machine learning, project management and economic evaluation.

  • SQL Database Query
  • Exploratory Data Analysis
  • Big Data
  • Machine Learning
  • Deep Learning
  • Data Visualization
  • Application Prototyping
  • Agile Development Cycle
  • Project & Stakeholder Management
  • Economics Evaluation

Projects

Below is a few of my recent personal/graduate school/competition projects.

Automatic Sentiment Analysis App for YouTube Comments

The app takes in your YouTube video link as input, pull comments data from YouTube API, pre-process it for sentiment analysis (labelling if a comment is positive, neutral, or negative), then the processed data is visualized via the Gradio interface.

Exploring Data Visualization: A Tutorial Using Thailand’s Tourism Industry Data

Analyzed and Extracted Insights from 3 Years of Tourism Data using Python. Utilized geopandas library to visualize these average yearly tourism earnings from 2019 to 2022 on Thailand’s Map. Condensed 4 years’ worth of Thailand’s Tourism data into easy to digest insights.

QuickEcon - Your Handy Economics Evaluation Tool

Built Net Present Value and Internal Rate of Return Calculator using Numpy, Matplotlib, and Streamlit Libraries in Python.

Unsupervised Deep Learning Approach for Real-Time Anomaly Detection in Manufacturing Process

This project closes the traditional monitoring gap by developing an unsupervised ML model/algorithm which can detect abnormalities in the industrial processes and notify the user for prompt decision making with high detection rate and minimum false alarm rate to prevent potential major business consequences such as lower production rate or a plant shutdown.

Building an FAQs AI Assistant for Kaggle Platform

Create dataset from unstructured data on the platform, utilize PEFT for fine-tuning open-source LLM models with the training data, and evaluate the AI assistant performance on the training/validation dataset.

Work Experience

Process & Project Engineer

2018 - 2023

In charge of process monitoring, troubleshooting, optimization, maintenance planning, and improvement for Distillation, Hydrotreating, and Solvent Production Plants.
Served as the process designer for a major project "Euro V Compliance Venture Project" which enhances gasoline and diesel quality through a major refinery revamp.

Engineering Practice Program Facilitator

2017

Under collaboration between KMUTT and SCG in C-ChEPS, tasked for facilitating 4 senior process operators and guiding them on process improvement projects in SCG packaging section. The tasks involve problem framing, root cause analysis, and economic feasibility evaluation.

Process Engineering (Intern)

Summer 2016

Performed hydraulics adequacy check for reusing existing remote compressor infrastructure of a oil & gas platform under facilities engineering department for Chevron Thailand Exploration and Production.
Received a scholarship by achieving outstanding score among the intern batch, evaluated by supervisors and manager in facilities engineering department.

Contact Me

Feel free to reach out to me through any of the following channels:
Email LinkedIn Medium GitHub YouTube