Phattharanat Khunakornophat
Data Scientist/Developer
I have three years of experience as a Data Scientist and Developer. 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.
Experience
- Data Analysis & Visualisation: Deliver data analysis and visualisations on request across RFM, cohort, and association rule learning on POS data; analyse survey responses using word cloud, n-gram, and LDA topic modelling.
- Computer Vision Systems: Design and develop end-to-end computer vision pipelines including vehicle/accident detection, face recognition-based visitor management, event people counting, and product-on-shelf detection using YOLO, RF-DETR, Kafka, RabbitMQ, and TimescaleDB; train and fine-tune custom object detection models.
- Backend Development: Build and maintain a standardised Django starter template with Docker, Postgres.
- Infrastructure & DevOps: Configure Cloudflare Tunnel with multiple domain mapping, manage Nginx and cloud environments, automate deployments via Bitbucket Pipelines, and standardise deployment commands using Justfile.
Projects
- Item and skill tracker for The Bazaar, extracting data from screenshots using computer vision techniques
- A collection of snippets of code for solving problems bundled as python package that can be installed from github
- Implement the Wordle puzzle in Haskell language to explore functional programming style
- Personal website built with Astro, with a built-in resume PDF export feature
- Solve the Wordle puzzle optimally by using statistics/information theory
- 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
- 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
Activity
- Provided a retrospective analysis of a chart and proposed improvements
- Highlighted some great data visualisations in history
Skills
Education
Interests
- Data visualisation
- Table Tennis
- Listening to Sawano Hiroyuki's music
- Functional Programming, Haskell, Elixir
- Personal Knowledge Management, Zettelkasten, Evergreen Notes
Now
Welcome to my resume! I want to use this section to tell you about what I am doing now.
(Last Updated: 2024-04-14)
I am currently interested in Functional Programming and Monad. I enjoy drinking Earlgrey tea and specialty cofee.
I am also suffering from Gastritis, Conjunctivitis, Dry Eye, De Quervain's tenosynovitis.
I have tried many note-taking apps such as Roam Research, Craft, Logseq, Obsidian, Tana, Heptabase. I am practising taking notes with the Zettelkasten/Evergreen notes method but I am still struggling with it.