Meiling Wang
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Meiling Wang Email & Phone Number

Business Intelligence Engineer at Amazon
Location: Greater Seattle Area, United States 9 work roles 2 schools
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Current company
Role
Business Intelligence Engineer
Location
Greater Seattle Area, United States
Company size

Who is Meiling Wang? Overview

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Quick answer

Meiling Wang is listed as Business Intelligence Engineer at Amazon, a with 734811 employees, based in Greater Seattle Area, United States. AeroLeads shows a matched LinkedIn profile for Meiling Wang.

Meiling Wang previously worked as Business Intelligence Engineer II at Amazon and Business Intelligence Engineer II at Amazon. Meiling Wang holds Master Of Science - Ms, Business Analytics from The George Washington University.

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Amazon

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Profile bio

About Meiling Wang

Coming from a technical and nontechnical background, I find my passion in the overlapping area. I enjoy the intellectual stimulation of developing technical solutions. Collaborating with cross functional teams, understanding the business domain, and presenting technical solutions energizes me.In addition to having a strong technical background, I give credits to my liberal arts education. I have learned to think critically, learn quickly, communicate effectively, interact with people with diverse backgrounds, and solve problems with complexity and vague requirements. My biggest strengths: a life-long learning attitude and tenacity to find a way to overcome any challenges in lifeTechnical Summary:• Data Extraction: SQL (Redshift), API call, Python web scraping (selenium and beatifulsoup), import and append multiple excel, txt, and csv files in R or Python• Programming: Python (pandas, numpy, etc), R (dplyr, tidyverse, etc.), Java (application development)

Listed skills include Microsoft Office, Powerpoint, Microsoft Word, Microsoft Excel, and 22 others.

Current workplace

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Amazon
Amazon
Business Intelligence Engineer
Kirkland, WA, US
Website
Employees
734811
AeroLeads page
9 roles

Meiling Wang work experience

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Business Intelligence Engineer

Kirkland, Wa, Us

Business Intelligence Engineer Ii

Seattle, Washington, United States

Business Intelligence Engineer Ii

Los Angeles, California, United States

Aug 2022 - Jun 2024

Senior Data Analytics Specialist

Los Angeles, California, United States

• Collaborate with new and existing business partners to develop analytics adoption roadmap in advancing the current capability• Mentor a team of 3 staffs and manage risk, communication, and delivery of multiple work-streams while helping managers in scoping and planning• Transform gross-to-net revenue analysis process by designing, building, and testing ETL workflows, metrics, and Tableau dashboard with cross functional teams, saving thousands of hours• Present the standard gross-to-net revenue workflow and dashboard to leaderships resulting in high adoption after launch• Reduce manual hours by 90% for a fortune 50 company engagement by automating manual data pull from 25 disparate data source, converting low-accuracy profiling approach to full population validation and analysis, and redesigning the end deliverable based on key areas of focus• Identify operation deficiency by consolidating approval tracking reports from multiple systems and analyzing approval timing and patterns• Ensure greater coverage of risk assessment for a first-year client by performing statistical analysis and explain statistical concepts and proper interpretation of results to non-technical audiencesOther Firm Initiative - As a data scientist of Machine Learning (ML) for Good initiative, I collaborate with a team of 3, develop ML curriculum for high school students, and explain complex concepts in an easy to understand way.Additional Accomplishment - I am admitted to Apprentice Level of Machine Learning Mastery Program (25 people per application cycle across all service lines and offices in the US).

Jun 2021 - Aug 2022

Data Analytics Specialist

Los Angeles, California

Jan 2020 - May 2021

Data Scientist (Practicum)

Washington, District Of Columbia, United States

The client is thrilled with our pro bono service and decide to invest and scale up the projects.• Created web parsers in Python to extract products and nutrition data from 6 retailers and applied fuzzy matching techniques to compute missing data• Defined key business logic, performed exploratory data analysis, and applied optimization and machine learning algorithms to recommend products to procure in disaster area• Crafted compelling stories, made insightful recommendations, and provided live demo of the final product (an App) to client leaderships

Sep 2019 - Dec 2019

Data Analyst Intern

Greater Atlanta Area

• Discovered 2,000 exceptions that indicate the root-cause of an operation deficiency by extracting, combining, and validating data from multiple sources using SQL in the absence of a project manager• Identified transactions not tied to the correct general ledger by mining text in Python• Communicated with internal stakeholders and process owners to understand loan hierarchy and balance calculation across disparate data source and optimized SQL queries• Predicted credit score of commercial customers by training and validating machine learning models in H2O and developing a custom grid search algorithm to tune hyperparameter

May 2019 - Aug 2019

Risk Analysis Intern

Washington D.C. Metro Area

-Assessed risks by analyzing financial and non-financial information extracted from S&P Capital IQ, Audit Analytics, and SEC fillings

Jan 2019 - May 2019

Internal Audit Intern

Sugar Land, Texas Area

-Completed 18 IT control tests related to various business processes and information systems with minimal supervision while managing relationship with external auditors-Discovered the cause of $100k potential annual overtime abuse by analyzing and visualizing data from multiple dimensions -Consolidated and cleaned user access records extracted from 6 information systems and performed comparative analysis to identify inappropriate access granted to terminated employees

Jun 2018 - Aug 2018
Team & coworkers

Colleagues at Amazon

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2 education records

Meiling Wang education

Master Of Science - Ms, Business Analytics

1. Tools: Python, R, SAS, SQL, Tableau, Spark, PowerShell 2.Courses: Programming for Analytics, Visualization for Analytics, Data.

Bachelor Of Arts (B.A.), Accounting, Business Administration, And Math

1. Accounting Courses: Intermediate Accounting I, II, and III, Auditing, Fraud Examination, Accounting Information System, Cost.

FAQ

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What company does Meiling Wang work for?

Meiling Wang works for Amazon.

What is Meiling Wang's role at Amazon?

Meiling Wang is listed as Business Intelligence Engineer at Amazon.

Where is Meiling Wang based?

Meiling Wang is based in Greater Seattle Area, United States while working with Amazon.

What companies has Meiling Wang worked for?

Meiling Wang has worked for Amazon, Deloitte, Data Society, Suntrust, and Public Company Accounting Oversight Board (Pcaob).

Who are Meiling Wang's colleagues at Amazon?

Meiling Wang's colleagues at Amazon include Péter Gyula, Rupert Olenick, A B, Shijas Shiju, and Daniele Broccini.

How can I contact Meiling Wang?

You can use AeroLeads to view verified contact signals for Meiling Wang at Amazon, including work email, phone, and LinkedIn data when available.

What schools did Meiling Wang attend?

Meiling Wang holds Master Of Science - Ms, Business Analytics from The George Washington University.

What skills is Meiling Wang known for?

Meiling Wang is listed with skills including Microsoft Office, Powerpoint, Microsoft Word, Microsoft Excel, Leadership, Public Speaking, Event Planning, and Teamwork.

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