TH
Open to opportunities

Timothy Huang

@timothyhuang

Data scientist specializing in scalable solutions and machine learning.

Taiwan
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What I'm looking for

I seek a role that fosters innovation and allows me to leverage my data expertise to drive impactful business decisions.

I am a seasoned data scientist with a strong background in scalable data solutions, machine learning, and ETL optimization. My expertise lies in leveraging Python, SQL, and cloud technologies to drive business growth and enhance operational efficiency. Throughout my career, I have successfully collaborated with cross-functional teams to deliver actionable insights that empower stakeholders and improve decision-making processes.

In my current role as a Senior Data Scientist at BTSE, I engineered scalable data models and ETL pipelines using AWS, significantly enhancing data accessibility and reliability. My previous experience at 17LIVE allowed me to increase new user traffic by 100% and improve revenue through strategic analysis of user behavior and market trends. I have a proven track record of utilizing advanced analytics to optimize marketing campaigns and drive iterative improvements.

My academic background includes a Master of Science in Statistics, where I graduated with a perfect GPA of 4.0. I am passionate about applying my analytical skills to solve complex problems and contribute to innovative projects that make a meaningful impact.

Experience

Work history, roles, and key accomplishments

BT
Current

Senior Data Scientist

BTSE

Nov 2024 - Present (8 months)

Engineered scalable data models and ETL pipelines using AWS, enhancing data accessibility and reliability. Empowered stakeholders with actionable insights by defining KPIs and developing interactive dashboards with Tableau. Conducted in-depth analysis of marketing campaign data, including user segmentation and efficiency metrics, to identify areas for improvement and drive iterative campaign optim

17

Staff Data Scientist

17LIVE

May 2022 - Oct 2024 (2 years 5 months)

Increased new user traffic by 100% by analyzing user behavior and market trends to identify acquisition gaps and optimize strategies. Improved callback traffic and revenue by 10x through AppsFlyer integration, enabling precise tracking and optimization. Prevented potential monthly losses of $10,000 USD by detecting suspicious user behavior. Reduced revenue forecast error from 200% to 40% using a C

CR

Data Scientist

CRIF

Mar 2021 - Apr 2022 (1 year 1 month)

Designed data analytics solutions for financial institutions to enable cross-sell opportunities and enhance customer segmentation. Built an end-to-end CNN model for Traditional Chinese sentence classification, achieving 93% accuracy with 99% confidence. Improved classification accuracy for imbalanced bank transaction data from 80% to 95% by integrating CkipTagger, LightGBM, and Optuna.

PE

Data Scientist

Pegatron

Aug 2018 - Feb 2021 (2 years 6 months)

Streamlined customer support operations by applying BERT-based text mining techniques, reducing 50% manual review efforts in log classification. Enhanced production stability and yield rates by designing an automated chiller system for real-time temperature and humidity control. Developed sensor anomaly detection system using LSTM and CNN, ensuring accurate data inputs with 99% coverage and less t

Education

Degrees, certifications, and relevant coursework

National Chengchi University logoNU

National Chengchi University

Master of Science, Statistics

2014 - 2016

Grade: 4.0/4.0

Completed a Master's degree focusing on advanced statistical methods and their applications. Achieved a high academic standing with a GPA of 4.0/4.0.

National Chengchi University logoNU

National Chengchi University

Bachelor of Science, Statistics

2010 - 2014

Grade: 3.9/4.0

Earned a Bachelor's degree in Statistics, building a strong foundation in statistical theory and practice. Maintained a high academic performance with a GPA of 3.9/4.0.

Tech stack

Software and tools used professionally

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