Piradee N
Senior Data & Applied Scientist at T-Mobile | Greater Seattle Area
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Piradee N. is a Senior Data & Applied Scientist at T-Mobile, where she leverages her extensive expertise in data analysis and visualization to drive product innovation and enhance user experience. With a strong foundation in machine learning, Piradee excels in developing sophisticated regression and classification models that address complex challenges within the telecommunications industry. Her current role involves building prototypes that not only establish new key product metrics but also provide actionable insights that empower product teams to make data-driven decisions.
Among her notable projects, Piradee has made significant contributions to understanding application latency, where she analyzes latency behaviors across various applications and geographical locations (MSO). This project not only enhances the performance of T-Mobile’s services but also ensures that customers receive optimal experiences. Additionally, her work on overall latency benchmarks provides a comprehensive view of latency from both server and client perspectives, enabling the company to identify bottlenecks and improve service delivery.
Piradee's technical proficiency spans a variety of tools and programming languages, including R, Python, and PySpark, which she utilizes to manipulate and analyze large datasets. Her familiarity with HiveQL and ArcGIS further enhances her capability to visualize data in meaningful ways, making complex information accessible to stakeholders. With her leadership skills and a collaborative mindset, Piradee is instrumental in fostering a data-driven culture within T-Mobile, ensuring that insights derived from her work translate into tangible improvements in product performance and customer satisfaction.
Senior Data & Applied Scientist at T-Mobile in September 2021 to Present
Network Analytics Engineer (Data Scientist) at T-Mobile in April 2019 to September 2021
Advanced Analytics Consultant at ProCogia in February 2018 to April 2019
Adjunct Faculty - Statistics & Data Analytics at Golden Gate University in October 2015 to December 2017
Data Scientist Intern at ProCogia in June 2017 to September 2017
Math Tutor at Golden Gate University in September 2014 to December 2016
Student Library Assistant at Golden Gate University in September 2013 to September 2016
Instructor at School of Science and Technology, Bangkok University in February 2005 to July 2011
Teaching Assistant at Thammasart University in June 2004 to May 2005
System Engineer at Hutchison CAT Wireless Multimedia in June 2003 to January 2005
Lotus Notes Support, Intern in IT Solution Division at IBM Thailand Co., Ltd in April 2002 to May 2002
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Golden Gate University, Doctoral Degree, July 2026
New Jersey Institute of Technology, July 2026
University of Pittsburgh, Master's Degree, July 2026
King Mongkut's Institute of Technology Ladkrabang, Bachelor's Degree, July 1999 to July 2026
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Azure Kusto
Azure SQL
Azure Databricks
Machine Learning
Power BI
Tableau
SQL
Python
Statistical Data Analysis
Data Analysis
Quantitative Research
User Experience
User Experience Design
Human Computer Interaction
Analytical Skills
Research
Analysis
Business Intelligence
Data Visualization
R
SAS
SPSS
Microsoft Excel
PHP
HTML
ArcGIS
Microsoft Office
Teaching
Training
Management
Leadership
Public Speaking
SPSS Modeler
Data Wrangling
Python (Programming Language)
PySpark
HiveQL
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Discover more about T-MobileWhat is Piradee N email address?
Email Piradee N at [email protected] and [email protected]. This email is the most updated Piradee N's email found in 2026.
How to contact Piradee N?
To contact Piradee N send an email to [email protected] or [email protected]. (updated on August 24, 2024)
What company does Piradee N work for?
Piradee N works for T-Mobile
What is Piradee N's role at T-Mobile?
Piradee N is Senior Data & Applied Scientist
What is Piradee N's Phone Number?
Piradee N's phone (**) *** *** 360
What industry does Piradee N work in?
Piradee N works in the Telecommunications industry.
Piradee N Email Addresses
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