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Data Scientist at Thomson Reuters
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A pattern recognition specialist, who is equipped with critical thinking, machine learning techniques and probability theories, which give me the ability to explain the what, the how, the right and the wrong in various practical applications.
University of Houston
Doctor of Philosophy (Ph.D.), Computer Science
January 1, 2010 – January 1, 2013
Ho Chi Minh University of Technology
Bachelor of Science (B.S.), Computer Science
January 1, 2003 – January 1, 2008
Le Hong Phong High School
High School Diploma, Mathematics
January 1, 2000 – January 1, 2003
Thomson Reuters
Data Scientist
September 1, 2023 – Present
Houston, Texas, United States · Remote
ThoughtTrace
Data Scientist
December 1, 2017 – September 1, 2023
Woodland, TX
CGG
Data Scientist / Senior Machine Learning
October 1, 2016 – November 1, 2017
Houston, Texas Area
Deep Signals
Pattern Recognition / Machine Learning Consulting
May 1, 2016 – May 1, 2018
Houston, Texas Area
Sentifi
Data Scientist
January 1, 2014 – April 1, 2016
Vietnam
University of Houston
Postdoctoral Research Scientist
September 1, 2013 – December 1, 2014
Houston, Texas Area
University of Houston
Research Assistant
August 1, 2010 – August 1, 2013
Houston, Texas Area
Ho Chi Minh City University of Technology
Graduate Research Assistant / Teaching Assistant
August 1, 2008 – August 1, 2010
Vietnam
FPT University
Instructor
August 1, 2008 – July 1, 2010
Vietnam
Financial topic modeling
January 1, 2014 – Present
Automatically recognize and disambiguate Named Entities (Company, Bank, Currency, Commodity...) appeared in messages from social networks (Twitter, Blogs, News). Detect and track events that have big impacts on financial markets. Classify messages into topics (Recommendation, Litigation...) and analyze co-occurrence impacts of Named Entities and Financial Events.
Spatial Radiation Dosimeter
August 1, 2011 – December 1, 2014
The rapid development in semiconductor detector technology at CERN has provided the capability to develop an active personal dosimeter for use in space radiation environments. The work reported here is based on the Timepix chip, which when coupled with an Si sensor, can function as an active nuclear emulsion, allowing the visualization of the individual tracks created as the different incident particles traverse the detector. The Timepix chip provides the capability of measuring the energy deposited by each incident particle that traverses the sensor layer. Together with the capability for online readout, this detector opens the door to a completely new generation of active Space Radiation Dosimeters. While recent advances in hardware technology promise a major step forward in the development of such active portable space radiation dosimeters, little effort has been devoted toward software tools for analysis and classification of sources of radiation. Coupling radiation dosimeter hardware with pattern recognition techniques and machine learning tools has the potential to greatly improve current applications on space dosimeter projects.
Semantic Web
August 1, 2007 – August 1, 2010
Implement a semantic information retrieval system to manage and process Vietnamese web sites which are annotated with the named entity. A traditional information-retrieval system such as Google is both useful and powerful on many levels. However, such systems are not user-friendly because they return many irrelevant documents. For example, a search of "City of Saigon" may returns documents containing tangential results like the Saigon River, Saigon football team or even the Saigon beer factory while documents containing Ho Chi Minh City, which is a moniker for Saigon City, do not show up. Why so? This is because such systems are based entirely on keywords with little or no interpretation of the semantic of the web page. My project explored and offered a solution that would close this loophole by creating a semantic search engine that gives better search results and meets exactly what the user needs.
Cultural Fit Analysis
The candidate's background is heavily skewed towards research and advanced Machine Learning/Deep Learning roles, which might be an overqualification or a mismatch for a typical Data Analyst role that often focuses more on reporting, dashboarding, and SQL-based analysis. While the analytical skills are strong, the project diversity is primarily within AI/ML, and there's less explicit mention of business intelligence or traditional data analysis tools. The target role 'Data Analyst' might not fully leverage the candidate's deep technical expertise in ML/AI, potentially leading to a cultural mismatch if the role is not sufficiently challenging or aligned with their advanced skill set.
Soft Skills & Operational Fit
The candidate's extensive research and project experience, particularly in complex problem-solving and algorithm development, suggests strong analytical and problem-solving skills. The descriptions of leading teams and formulating methodologies indicate leadership potential and a collaborative approach. The academic background and continuous engagement with advanced technologies point to a strong learning aptitude and adaptability.