• Co-lead and execute release strategies for cross-brand Checkout Page by collaborating closely with Product Leads and engineering teams. Ensured 5 on-time, budget-compliant product launches while meeting CVR expectations.• Establish tiered metrics and core dataset for 8 product teams, address user behavior friction points via dashboarding and in-depth funnel analyses, and launch successful AA/AB tests to evaluate effectiveness of key feature launches.• Designed and implemented an innovative metric definition model to tackle performance monitoring challenges, aligning stakeholders, fostering a data-driven culture, and improving product decision-making efficiency. • Developed a scalable data documentation and testing framework, coupled with an MVP alerting system, ensuring high-quality, reliable data-- The alerting tool is slated for expansion and adoption by 2 additional, cross-functional analytics and clickstream teams.

• Influenced 2 pivotal channel spending strategies by conducting in-depth analysis on market data and ROI. Uncovered growth opportunities and delivered actionable recommendations to Inventory and Marketing Leads• Evaluated impact of single-channel campaigns on cross-channel efforts through A/B and multivariant lift experimentations, including marketing incrementality tests and causal inference-based pre-post analyses.• Enhanced Paid Channel performance by 10% in traffic volume and ROI by leveraging cross-platform data and establishing clear business goals with data engineers and machine learning scientists.

Optimize Paid Search Channel performance • Expanded new channel from US only to EMEA and APEC regions, increasing traffic by 30% by creating bidding algorithms, and automating bidding processes, and conducting A/B tests for optimization.• Quantified brand and competitor insights with share of voice data analyses, helping lower commission by 15% and form business strategies for leadership team.• Automated data processes by developing ETL pipelines in Spark and Python, building Tableau dashboards, and creating alerts of data pipeline outages.

Worked cross-functionally to improve ad target efficiency, and provide customers mobile user insights & cost-effective ad campaigns• Productized brand comparison analysis to identify apps that best separate competitors, and provided app user insights in behavioral characteristics• Examined big data quality with Spark on billions of ad requests and third-party data, analyzed driving effects of ad conversions, and dug into potentially fraudulent ad requests• Iinitiated use of Spark DataFrame and Apache Zeppelin, thereby improving scaling efficiency- Skills used:Spark (Scala, Pyspark), Python, SQL, Amazon S3 & EMR, Jira, Confluence

Worked as an analytics consultant to provide a deeper understanding of Branded's panel and industry position, aiming to provide more precise B2B data for market research• Identified segments of consumer panel by analyzing survey data using factor analysis (PCA and clustering techniques), and suggested differentiated services for each customer type• Analyzed market position and SWOT, and advised new survey platform features and data package as part of client solution- Skills used: R, research

Project goal is to refine classification algorithms, analyze break-even point, and improve ROI• Discovered weaknesses of AI SaaS product by applying text mining and NLP techniques and building tree-based machine learning models• Identified profitable B2B market by analyzing costs and benefits of business targets based on model prediction• Built an interactive web app dashboard with R Shiny for data visualization and profit analysis- Skills used: Python, R, R Shiny

Worked to build a SaaS Big Data Platform that provides small businesses quantified market insights in large Asian cities• Conducted research and reported on potential of shopping districts in 4 Southeast Asian countries and Taiwan’s metropolitan areas (52M in population)• Collected data for building of big data platform and for statistical analysis needed in research reports• Created a web crawler for data collection, and automatize industry news posting, thus improving posting efficiency by 50%- Skills used:market research, Python, data collection and data quality assurance

Worked closely with CEO to identify investment opportunities and optimize financial models• Built financial models to evaluate profits of $1M+ government bids which help company win a $300M bid• Helped build a private equity and attract potential investors into investing in a $250M fitness center project• Wrote a report of Taiwan’s fitness industry to assess profitability of franchising an international fitness club that led to the opening of 5 fitness clubs in 2 years- Skills used:Advanced Excel, market research, financial analysis