Kayla Wu

Kayla Wu Email and Phone Number

Business Intelligence Engineer @ Amazon | M.S. in Marketing Analytics @ Simon | Ex-Didi, Accenture @ Amazon
seattle, washington, united states
Kayla Wu's Location
Seattle, Washington, United States, United States
About Kayla Wu

Seasoned Business Intelligence Engineer with 4+ year industry experiences in analytics, spanning from tech to consulting industry. I excel in partnering with cross-functional teams to transform ambiguous business questions into systematic actionable analytics frameworks.• Programming Languages: SQL(MySQL, Hive), Python(pandas, numpy, matplotlib, statsmodels, sklearn, etc.), R• Visualization: Amazon QuickSight, Tableau, Python (Matplotlib, Seaborn, etc), PowerBI• Data Modeling and build ETL pipelines • Machine Learning: regression, logistic regression, xgboost, random forest, k-means, etc

Kayla Wu's Current Company Details
Amazon

Amazon

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Business Intelligence Engineer @ Amazon | M.S. in Marketing Analytics @ Simon | Ex-Didi, Accenture
seattle, washington, united states
Website:
amazon.com
Employees:
500669
Kayla Wu Work Experience Details
  • Amazon
    Business Intelligence Engineer
    Amazon Apr 2022 - Present
    United States
  • University Of Rochester - Simon Business School
    Graduate Teaching Assistant
    University Of Rochester - Simon Business School Jan 2022 - Mar 2022
  • Didi
    Data Scientist
    Didi Mar 2021 - Aug 2021
    China
    Worked in the Product Safety Team and strived to provide a safe car-hailing experience for riders. Collaborated with Product, Operations, and Engineering Team.• Delivered deep historical context for the Product team using Hive SQL and Dashboards. • Tracked key metrics and conducted the diagnostic analysis for management.• Built Xgboost classification and time series model to help specialists identify high-risk regions; recognized by management level stakeholders.
  • Accenture
    Business Analyst
    Accenture Sep 2020 - Jan 2021
    China
    • Aggregated and cleaned data from different sources using Python and SQL.• Built and trained statistical models using two Machine Learning techniques (Random Forrest and Support Vector Machine) to predict sales volume and revenue with 5% MAPE.• Conducted 30+ customer interviews and boosted machine learning model deployment.
  • Statistics Center
    Statistical Analyst
    Statistics Center May 2019 - Jul 2020
    Guangzhou, China
    • Compute financial performance indicators to identify existing economic concern and offer suggestions to assist in policy planning.• Monitor key economic indicators to produce summary tables of monthly and quarterly economic statistics.• Planned pipeline for publication work, directed and coordinated with 14 analysts to provide deliverables.• Built 5 procedural manuals for colleagues to structure asset management, leading to higher efficiency and work satisfaction.• Manage official website daily to ensure up-to-date, accurate content for all stakeholders.
  • Osu North Dining
    Student Manager/ Frontline Server
    Osu North Dining Sep 2016 - Dec 2017
    Stillwater, Oklahoma, United State
    • Led Taylor's Front of House Team to serve 300+ customers, generating $3,600+ revenue.• Assisted the supervisor and other employee to ensure optimal efficiency in food delivery and identify places for improvement.• Worked on food product line, face-to-face communication with customers.
  • Becky'S Fantasy (China'S Top 3 Fashion/Lifestyle Influensor)
    Marketing Intern
    Becky'S Fantasy (China'S Top 3 Fashion/Lifestyle Influensor) Jun 2017 - Sep 2017
    Guangzhou, Guangdong, China
    • Assessed data of 1.39 million Wechat subscribers for performance review.• Created word counts of 100 heated article subtitles with Python to help editors capture viral spreading wording in subtitles for click-thru-rate optimization.• Facilitated creation of sponsored content on Wechat and Weibo.
  • Bridal Teahouse Hotel
    Operating Intern
    Bridal Teahouse Hotel Jul 2015 - Sep 2015
    Yantai, Shandong, China
    • Built the first hotel in Mainland China from 0 to 1, including operation, benchmarking, standalization building, etc.• Rotated in Front Desk Department, Housekeeping Department, and BOH Department:• Communicated and helped with more than 100 guests worldwide • Developed strategic report and gave suggestions.

Kayla Wu Skills

Leadership Event Planning Active Learning Communication Project Coordination Positive Discipline Public Speaking Competitive Analysis Group Work Creative Problem Solving

Kayla Wu Education Details

Frequently Asked Questions about Kayla Wu

What company does Kayla Wu work for?

Kayla Wu works for Amazon

What is Kayla Wu's role at the current company?

Kayla Wu's current role is Business Intelligence Engineer @ Amazon | M.S. in Marketing Analytics @ Simon | Ex-Didi, Accenture.

What schools did Kayla Wu attend?

Kayla Wu attended University Of Rochester - Simon Business School, Oklahoma State University, Sun Yat-Sen University.

What skills is Kayla Wu known for?

Kayla Wu has skills like Leadership, Event Planning, Active Learning, Communication, Project Coordination, Positive Discipline, Public Speaking, Competitive Analysis, Group Work, Creative Problem Solving.

Who are Kayla Wu's colleagues?

Kayla Wu's colleagues are Sandeep Rathee, Dulce Rayon, Rimix Yt, Martina Koubkova, Quintavious Howard, Emanuel Medina, Josephine Heath.

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