
Diana Roa
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Diana Roa
Promoted from Product Manager, Cooling
Own the PC Cooling product roadmap (CPU coolers, PC fans, and accessories). Analyze the competitive landscape, the gaming and consumer electronics hardware (HW) trends, and market data to shape a unique product vision. Manage the full product life cycle, from concept through EVT, DVT, PVT, MP, and post-launch. Lead core team meetings, aligning user requirements and assessing technical feasibility. Collaborate with cross-functional and international teams to communicate product vision and requirements.
- 2 Jahre und 10 Monate, Juli 2018 - Apr. 2021
Product Marketing Manager (B2B)
Groundhog Technologies Inc.
Spearheaded competitive product positioning, content, and marketing strategies for the CovMo platform, a geolocation software suite for mobile network improvement, and the RealMotion platform, a mobility intelligence software suite. Leveraged deep insights into the telecom market and global Mobile Network Operators (MNOs) to boost product awareness and empower the sales team.
- 10 Monate, Sep. 2017 - Juni 2018
Marketing and Sales Coordinator (B2C)
WaveThink Technology
Managed digital marketing campaigns and influencer partnerships. Expanded US market presence resulting in 86% sales growth.
Managed multiple Mobile Internet and Mobile Advertisement products from development to launch, coordinating cross-functional teams across a multinational telecommunications company. Designed and implemented product strategies that increased revenue by 300%.
Led continuous improvement projects for Omni-channel Customer Experience Management (CEM) to enhance efficiency and customer satisfaction. Streamlined CEM processes, reducing service time for 80% of customer requests, increasing First Visit Resolution Rate, and decreasing Back Office Service dependency.
Ausbildung von Diana Roa
- 1 Jahr und 11 Monate, Sep. 2015 - Juli 2017
Industrial Engineering & Management (IEM)
Yuan Ze University (YZU)
GPA: 4.0 Thesis: Applied Random Forest, a machine learning algorithm, to analyze Up-and-Go test results from fitness training data of Taiwanese elderly participants, providing insights into mobility and performance trends.
- 5 Jahre, Jan. 2006 - Dez. 2010
Industrial Engineering
Universidad Centroamericana (UCA)
GPA: 3.7 Specialization in Quality Management Teaching Assistant in Math & Calculus (3 years) Student Representative
Sprachen
Spanisch
Muttersprache
Englisch
Fließend
Deutsch
Grundlagen
Chinesisch
Gut
Französisch
Gut
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