Tulakan Ruangrong

Data Scientist

https://talent.gravityer.com/tulakan-ruangrong

Communication is key.

Bangkok, Bangkok, Thailand

Key Strengths

Strong foundational knowledge in Python for data manipulation and analysis, evidenced by multiple projects.
Experience with natural language processing (NLP) and information extraction, particularly from biomedical texts.
Familiarity with machine learning concepts like Latent Semantic Analysis (LSA) and Rocchio Algorithm for recommendation systems.
Demonstrated ability to build and deploy web-based applications and tutorials (e.g., AllenNLP tutorial, KordingLab.github.io).
Exposure to data parsing and preprocessing for scientific datasets (PubMed, NIH/NSF grants).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate demonstrates a strong interest in scientific data, NLP, and recommendation systems, aligning well with research-oriented data science roles. The personal projects show initiative and a proactive approach to learning and applying new technologies. The diversity of projects, from parsers to web pages, indicates a broad technical curiosity. However, without specific work experience or team-based projects, assessing collaboration and cultural integration is challenging.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.

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Projects

biodatlab.github.io

June 23, 2021 – Present

Website for Biomedical and Data (Bio-Dat) lab at Mahidol University, Thailand

View Project

ai-builders.github.io

February 14, 2021 – Present

A program for kids who want to build good AI

View Project

allennlp-tutorial

October 26, 2018 – November 1, 2018

Tutorial on AllenNLP library with demo "which journal to submit paper?"

View Project

detecting-scientific-claim

June 7, 2018 – June 2, 2021

Extracting scientific claims from biomedical abstracts (powered by AllenNLP)

View Project

paper-reviewer-matcher

August 10, 2016 – Present

Linear programming solver for paper-reviewer matching and mind-matching

View Project

grant_database

April 4, 2016 – August 24, 2018

:dollar: Downloader, preprocessor, parser and deduper for NIH and NSF grants

View Project

KordingLab.github.io

February 2, 2016 – Present

Jekyll page for Kording lab webpage

View Project

baansuan_prannok

November 28, 2015 – November 29, 2015

baansuan_prannok — GitHub repository

View Project

science_concierge

August 7, 2015 – August 31, 2017

:radio: a Python repository for content-based recommendation based on Latent semantic analysis (LSA) topic distance and Rocchio Algorithm, see the implementation interactively on

View Project

pubmed_parser

March 5, 2015 – July 31, 2025

:clipboard: A Python Parser for PubMed Open-Access XML Subset and MEDLINE XML Dataset

View Project

Key Strengths

Strong foundational knowledge in Python for data manipulation and analysis, evidenced by multiple projects.
Experience with natural language processing (NLP) and information extraction, particularly from biomedical texts.
Familiarity with machine learning concepts like Latent Semantic Analysis (LSA) and Rocchio Algorithm for recommendation systems.
Demonstrated ability to build and deploy web-based applications and tutorials (e.g., AllenNLP tutorial, KordingLab.github.io).
Exposure to data parsing and preprocessing for scientific datasets (PubMed, NIH/NSF grants).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.

Tulakan Ruangrong

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit