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Marketing, Data Analysis, Machine Learning

Location:
Santa Clara, CA
Posted:
January 09, 2024

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Resume:

Yurun Zhang

Santa Clara, CA 408-***-**** ad2l03@r.postjobfree.com linkedin.com/in/yurun-zhang-44926624b/ EDUCATION

Santa Clara University Sep 2022 - Dec 2023

Master of Science in Business Analytics

Course Work: Data Analytics - Python, Econometrics, Math for Business Analytics, Machine Learning, Big Data Modeling, Deep learning, Applied Cloud Computing, Prescriptive Analytics, Database Management, Marketing Analytics Nankai University Binhai College Sep 2011 - Jun 2015 Bachelor of Business Administration (Futures Dealing and Management) GPA: 3.6/4.0 PROFESSIONAL EXPERIENCE

Hangzhou Qiandianbai Network Technology Co., Ltd Hangzhou, China Jul 2020 - Jan 2021 Data Analyst

Monitored daily transaction data and KPIs for an Amazon store, generating periodic reports.

Extracted and cleaned data using SQL and Python, conducted sentiment analysis on 10k+ customer reviews to identify customer needs, providing actionable insights for 2 products improvement.

Conducted product development market research, compared top products of 4 competitors to identify product differentiation, quantified customer satisfaction indicators, visualized and reported findings.

Collaborated with market teams to formulate differentiated competitive advantage strategies, amplified brand strengths through targeted marketing initiatives, and increased conversion rates by 18%. Guohai Liangshi Futures Co., Ltd Hangzhou, China Jul 2015 - May 2019 Futures Trader

Executed over 1300 futures and options contract transactions on behalf of clients or trading firms. Monitored real-time market conditions, and assisted clients to adjust their trading strategies.

Applied for hedging and arbitrage quota applications for 75 trading firms, releasing margin and increasing customer retention rate by 5%.

SELECTED PROJECTS

Cisco San Jose, CA Jan 2023 - Jun 2023

Data Scientist (Practicum)

Spearheaded channel segmentation for 30k+ Return Merchandise Authorization (RMA) requests, integrated 1893 RMAs into the Intelligent RMA Experience (IRE) system from phone channel, reducing response times by 85% per case.

Collaborated with engineering team to improve machine learning model by incorporating additional attributes into the model, reducing the creation of unnecessary RMAs by 25%.

Utilized K-means and Hierarchical clustering in Python to categorize customers based on preferences and purchasing patterns. Designed personalized plans for distinct customer groups to improve customer satisfaction. Teladoc Health, Inc Santa Clara, CA Apr 2023 - May 2023

Performed EDA to identify 5 key attrition reasons and top-performing versus bottom-performing groups in terms of attrition, developed 8 dashboards using Tableau and Excel to report and present valuable findings to executives.

Led a team of 4 to build predictive models using Logistics Regression, Random Forest, Gradient Boosting and XGBoost to assess the likelihood of employee attrition. Achieved a 71% TPR (recall). Credit Card Business Growth Nov 2022 - Dec 2022

Utilized R to construct linear and non-linear regression models, conducted statistical hypothesis testing, assessed internal and external validity, and formulated strategies to drive conversion and increase revenue. SKILLS

Tools: Python, R, SQL, Excel, Java, Tableau, Power BI, PySpark, Hadoop, Tensorflow, AWS, GCP, AZURE, A/B Testing



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