About Me

Hello! I'm Krittaprot or Ode.
Currently, I’m working as a Data Scientist in the auto finance industry, where I help to implement Predictive ML and Generative AI to achieve better business efficiencies.
Before transitioning to finance, I worked in the energy sector, specifically in refinery operations, where I developed a strong foundation in sustainable data-driven optimization and project management.
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.

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.

QuickEcon - Your Handy Economics Evaluation Tool

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

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.

Work Experience

Data Scientist

2024

Lead Scoring, Product Recommendation, Time-to-Event Analysis, and Customer Segmentation: Utilizing machine learning algorithms to forecast customer behavior and retention for Auto Loan Products.

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.

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