YUKE LIU

**** ******* ** **** **, Round Rock, Texas 512-***-**** adkrbt@r.postjobfree.com www.linkedin.com/in/Yuke PROFESSIONAL SUMMARY

Results-oriented Data Analyst with two-year experience in eCommerce, technical coaching, data analysis, and marketing. Adept at collecting, cleaning, interpreting, and visualizing large data sets to generate valuable insights, identify business opportunity and drive decision making. Exceptional technology skills in SQL and Python combined with proven ability to drive marketing strategy, manage client relationships, and form strategic partnerships to enhance business growth and market share.. SKILLS

• Python 2 years exp

• SQL 2 years exp

• R 2 years exp

• Statistical Analysis 2 years exp

• Forecasting, Clustering, and Regression 1.5 year exp

• Reporting and Data Visualization(tableau) 2 years exp

• Microsoft Office 2 year exp

• Marketing and Customer Analysis 1 year exp

• Predictive Modeling 2 years exp

• A/B Testing 1 year exp

WORK HISTORY

Business Analytics Coach, May 2020-Present Ingenius prep – Houston, USA

• Assessed and improved students’ independent writing skills by examining essays and delivering proper recommendations.

• Educated students through teaching, counseling, and writing instruction regarding business analytics.

• Evaluated each students’ performance in collaboration with a team of up to three counselors and a Senior Counselor Mentor.

• Planned creative and practical professional experience and projects for students’ extracurricular activities. Data Analyst & Predictive modeling Instructor, July 2018-Jun 2019 Xianyu Technology – Fuzhou, China

• Performed large-scale data visualization and executed analytics projects in support marketing initiatives through SQL and tableau.

• Functioned as a predictive modeling Instructor and coached more than 90 students and gained 98% satisfaction rate.

• Boosted conversion rate by 10% through evaluating and enhancing digital marketing channels to drive improvements in marketing strategy as well as analyzed alterations by using SQL.

• Increased revenue for the company by optimizing eCommerce billing page by 17.27%, bounce rates from 0.59 to 0.47.

• Complete funnel analysis to recognize pain points by using SQL and conducted A/B testing to enhance client engagement.

• Conducted deep-dive SEO analysis, which exposed new customer segment as well as identified new locations for marketing and drove sales by 10% over one month.

Cofounder & Data Analyst, Mar 2018 - Jun 2019 DataGo – Fuzhou, China

• Delivered hands-on leadership to ground-up development and launched of eCommerce data analytics consulting service.

• Involved in various activities including handling workflow, strategic planning, and interacting with clients from diverse industries.

• Increased customer satisfaction and retention rate by transforming complex data concepts and creating visualizations and reports to provide key insights to technical and non-technical audiences.

• Successfully generated $15k+ in revenue by resolving business problems of more than 115+ clients through performing time series forecasting, clustering, and regression.

• Optimized, debugged, and resolved challenges in SQL queries and Python code in collaboration with cross-functional teams.

• Attained 96% customer satisfaction by establishing long-term relationships and delivering exceptional customer service. PROJECTS

“Retail Demand Forecasting Project” -- University of Texas at Austin Oct 2019 - Dec 2019

• Created end-to-end ML pipeline and managed inventory levels through python, which maximized demand forecasting. Performed feature engineering using Random Forest, created unique features, which decreased RMSLE from 0.6 to 0.46. Reduced RMSLE by 7% by analyzing data using Random Forest, XGBoost, and Ensemble method, and fine-tuned the hyper parameter of models.

“Teacher Retirement System of Texas – Data Science Capstone Project” Austin, Texas Jan 2020 - May 2020

• Provide leadership from conception to completion of project to develop financial models for optimizing the equity index strategy, which resulted in improved returns and portfolio performance. Employed Python to build valuation models that aggregated stock performance by country and visualize data.

EDUCATION

Master of Science in Business Analytics, GPA: 3.78 May 2020 The University of Texas at Austin – Austin, Texas

Coursework: Data Analytics Programming, Advanced Predictive Modeling, Database Management Bachelor of Economics, GPA: 3.82 Rank: 1/102 July 2018 Hunan University – Hunan, China

Coursework: Advanced Mathematics. Linear Algebra. Probability, Statistics, Database, Data Mining