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@phmtm
Strategic data scientist with 8+ years of experience in analytics.
I am a strategic data scientist with over 8 years of experience in driving product innovation and business intelligence through advanced analytics and machine learning. My proven track record includes influencing cross-functional decisions with data-driven insights and building production-ready ML systems that enhance product performance and business outcomes. I excel in developing metrics frameworks, predictive modeling, and translating complex technical findings into actionable business recommendations.
At Honda R&D Southeast Asia, I led data-driven strategy initiatives that resulted in a 21% improvement in product development efficiency. I developed comprehensive metrics frameworks for measuring autonomous system performance and partnered with product and engineering teams to translate analytics insights into development priorities. My work has directly contributed to significant improvements in customer satisfaction and operational cost savings, showcasing my ability to drive strategic business impact through data.
In addition to my technical expertise, I prioritize collaboration and mentorship, cultivating strong partnerships with cross-functional teams and improving team productivity. I am passionate about leveraging data to identify high-value market opportunities and create data-driven product roadmaps that align with customer needs and market trends.
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Work history, roles, and key accomplishments
Honda R&D Southeast Asia Co., Ltd.
Jan 2018 - Present (7 years 10 months)
Led data-driven strategy initiatives, resulting in a 21% improvement in product development efficiency and influencing resource allocation decisions. Built and implemented machine learning pipelines for customer behavior prediction, trajectory prediction, and recommendation systems, achieving high accuracy and increasing customer satisfaction. Cultivated strong partnerships with engineering, produ
Honda R&D Southeast Asia Co., Ltd.
Jan 2017 - Dec 2018 (1 year 11 months)
Developed and implemented time series forecasting models using LSTM and Prophet architectures with 87% accuracy, and created prediction models for vehicle behavior analysis. Designed customer segmentation using advanced clustering algorithms and built recommendation systems, increasing conversion rates by 17%. Built scalable data processing pipelines handling over 2TB of daily data and implemented
AGRIMECO Co., Ltd.
Jan 2015 - Dec 2017 (2 years 11 months)
Forecasted raw material prices and volume requirements with 82% accuracy, and created integrated reporting systems across design, fabrication, and purchasing departments. Developed predictive models for project completion timelines, improving planning efficiency by 23%. Built data-driven resource allocation models to optimize cost efficiency.
Degrees, certifications, and relevant coursework
Bachelor of Applied Science, Engineering/Industrial Management
Focused on analyzing and forecasting energy in industrial settings, with an emphasis on saving and optimizing energy consumption. Gained expertise in engineering and industrial management principles.
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