Yen Ling (Allison) Liu Email & Phone Number

Minneapolis, Mn, Us

Client: Sun Country AirlinesDuring my tenure as a Product Owner and Data Analyst in Data Science, I led an intensive half-year project focused on operational improvement for crew-pairing schedules and strategic planning for loyalty programs in the airline industry. This role provided me with hands-on experience and exposure to real-world data science applications.• Technical Solution: Streamlined operational processes and developed end-to-end ETL pipelines using PySpark and Spark SQL in Azure Databricks. Demonstrated the ability to integrate multiple data sources with over 1M+ records, enhancing workflow efficiency.• Data Visualization: Created dashboards using Power BI to identify inefficient crew pairings, achieving an 89% reduction in time spent on analysis.• Data Preprocessing and Modeling: Executed data preprocessing, including checking for missing values and outliers; analyzed customer and booking data using the RFM model and clustering in Python to identify unique customer segments and enhance loyalty programs.• Stakeholder Management: Collaborated with cross-functional teams (Crew Resources, Business Intelligence, Marketing, Strategic) to build an analytical framework and improve crew planning performance.• Project Management: Translated business requirements into project objectives and actionable plans. Managed and prioritized the project backlog in Jira, ensuring effective Agile implementation.This experience was a significant milestone in my career, bridging the gap between academic knowledge and practical, industry-oriented data science.

Minneapolis, Mn, Us

Client: Leading Financial Organization in MidwestDuring my tenure as a Data Analyst in Data Science, I focused on helping financial organizations identify customer segments using K-Means clustering in Python and uncovering the relationship between participants completing financial programs and their financial success through causal analysis (propensity score matching) in R. These insights supported the client’s marketing strategies and resource allocation.• Segmentation Analysis: Performed K-Means clustering in Python to capture participants’ demographic and financial indicators, presenting insights through storytelling to increase targeted marketing by 42%• Causal Inference: Measured 8% lift impact of program resources on financial success through root cause analysis in R• Data Analytics and Visualization: Enhanced potential customer active rate by 11% using dynamic Tableau dashboard, identifying key features of participant completion and drop-out to support client with resource and cost allocations This role was a pivotal phase in my career, where I combined my data science skills with real-world data to address complex business challenges.

Minneapolis, Mn, Us

Client: One of the Largest Public Schools in Midwest• Built predictive models with 92% accuracy in Python to predict student achievement on different resource involvement• Identified key factors influencing students’ success by analyzing feature importance using logistic models and random forest in R

Taipei, Tw

In my role as a Marketing Data Analyst, I am dedicated to managing and enhancing social media performance on LinkedIn. I leverage advanced analytical methods and business intelligence to develop and execute long-term posting guidelines and ad campaign strategies.• Experiment Design and Implementation: Spearheaded A/B testing on topic selection, posting materials, and content analysis, achieving a 54% increase in potential buyers for user acquisition and a 380% surge in post impressions on LinkedIn within one month• Data-Driven Improvement: Pioneered LinkedIn Ads campaigns and conducted evaluation analysis using SQL, resulting in a 10x increase in new followers and a 23% uplift in impressions compared to organic content, significantly enhancing product exposure• Managing Competing Priorities: Assessed the impact and urgency of tasks to effectively prioritize and schedule projects for timely completion• Business Intelligence: Established BI reports and created success metrics for 5+ social media platforms, enabling data-driven decision-making• Curiosity: Analyzed competitors’ social media performance and management strategies to identify areas for improvement and incorporated emerging trends into posting topicsThis role marked the start of my career path, showcasing my capabilities in managing, monitoring, and optimizing products, working cross-functionally, fostering curiosity, handling competing priorities, and solving problems.

Bankside, London, Gb

As an intern in the Business Unit, I was responsible for collecting media exposure information, reviewing and analyzing weekly media data, monitoring media budgets and advertising periods, and creating innovative media plans for LG.• Data Analysis: Conducted weekly analysis of site metrics and traffic (CPC, CPV, and CTR) across 5+ media channels using Excel, identifying areas for improvement in campaign performance.• Campaign Management: Improved media buying efficiency by 18% by identifying key drivers and providing actionable business insights to stakeholders.This position allowed me to directly contribute to the media industry, combining my industry experience with academic rigor and a passion for data-driven decision-making.

DIGI+ Talent Accelerator & Jumpstart Program In my role as a Digital Marketing Intern at Footwear & Recreation Technology Research Institute, I was responsible for creating an innovative app from scratch, including data collection, database management, UI/UX design, and system development, aimed at helping individuals monitor health issues by analyzing shoe wear patterns.• Application Development: Launched the world’s first sole scanning application on the App Store using image recognition through CNN (YOLOv4) in Python. The app helps users detect potential health problems, contributing to increased brand recognition and achieving over 200 downloads within the first month• Business Strategy: Attained a 10% conversion rate for the purchase of customized shoes by integrating the app with CRM and email marketing strategies, effectively monitoring and enhancing the customer journey and marketing funnel• Leadership: Managed a diverse team of 5 as a project manager, overseeing project assignments, tracking progress, and resolving conflicts.• Communication

Master Of Science - Ms, Business Analytics

Bachelor Of Business Administration - Bba