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Hi, my name is Phattharanat Khunakornophat(Chuan).

"I have an avid interest in data science and data visualisation"

I have a year of experience as a Data Scientist and Machine Learning Engineer. Most of my tasks are about providing analyses to support a strategy team.

I gained experience in the field of spatiotemporal data and time series analysis whilst working on my senior project.

I am keen on learning to create good data visualisation. I admire John Burn-Murdoch and David Spiegelhalter for their works. I have a goal to create high-quality analysis and visualisation that are comprehensible for non-chart people. In my free time, I enjoy watching videos from the Royal Institution to expanding my knowledge and practising English.


Experience

Data Scientist/Machine Learning Engineer

The Mather Jul 2022-Present
  • Provide data analysis and visualisation for a strategy team
  • Implement data scraper for social media platforms including Pantip (Thailand discussion forum), Twitter, YouTube and TikTok
  • Analyse point of sale data: RFM analysis, cohort analysis and association rule learning
  • Train a Thai Speech Emotion Recognition model using Transformer architecture, achieve 60% validation accuracy with five classes data
  • Develop Jira tasks dashboard by using Google Looker Studio
  • Extract and process data from JSON responses to create PDF reports using Weasyprint
  • Conduct research and execute a POC project centred in analysis and visualisation of real-time people detection data including face detection, face recognition, direction flow, utilising technologies such as Kafka, Flask, NextJS, Weaviate, Chroma
  • Refactor and set the standard for Django projects to enhance maintainability and reusability
  • Implement basic Bitbucket Pipelines to automate the deployment to an internal testing server, eliminating the need of manual tasks

Projects

Python utils

  • Personal Project
  • A collection of snippets of code for solving problems that I have encountered, eg data scraper, colour palette extractor, RFM analysis, text cleaner

Wordle game by Haskell

  • Personal Project Sep 2023
  • Implement the Wordle puzzle in Haskell language to explore functional programming style

Bias Correction of Multi-Dimensional Climate Data and Visualisation

  • Senior project at KMUTNB 2019-2020
  • Developed a backend server for climate analysis tasks: trend analysis (Mann-Kendall test), spatiotemporal data visualisation
  • Performed and evaluated performance of climate bias correction methods

Wordle But Statistics

  • Personal Project Jan 2022
  • Solve the Wordle puzzle optimally by using statistics/information theory

Data Mining and AI Course­

  • Enrolled University Courses 2019–2020
  • Implemented basic machine learning models: linear regression, linear classification, K-mean, Naïve Bayes, bias-variance trade-off
  • Explored and visualised NILM (Non-Intrusive Load Monitoring) dataset

Skills­

  • Programming languages and tools
    • Proficient: Python
      • pandas, numpy, netCDF, matplotlib, seaborn, pyvis, PyThaiNLP, NLTK, gensim, TensorFlow
    • Intermediate: R, Ruby, SQL, Git, Google Looker Studio, Docker
    • Others: Haskell, React, NextJS, Nivo, Recharts, Bitbucket Pipelines, Apache Kafka, Websocket, Vector Database (eg Weaviate, Chroma), Stable Diffusion QR code
  • Data Science and Machine Learning
    • Data visualisation using matplotlib, seaborn, Google Looker Studio
    • Text network analysis, wordcloud
    • Time series analysis, RFM analysis, cohort analysis, association rule learning
  • Machine Learning and Deep Learning
    • Achieved TensorFlow Developer Certificate
    • Trained Speech Emotion Recognition model using LSTM and Transformer
    • Gained basic understanding about object detectors, eg RetinaNet

Education

Bachelor of Engineering, Computer Engineering

  • King Mongkut's University of Technology North Bangkok Aug 2016 - Apr 2020
  • First Class Honours (CGPA 3.83)

Activity

An internal meetup talk "What not to Plot and Data Visualisation in History"

  • Sep 2023
  • Provided a retrospective analysis of a chart and proposed improvement
  • Highlighted some great data visualisations in history

Education

Bachelor of Engineering, Computer Engineering

  • King Mongkut's University of Technology North Bangkok Aug 2016 - Apr 2020
  • First Class Honours (CGPA 3.83)
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