Meiling Wang Email & Phone Number
Who is Meiling Wang? Overview
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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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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.
Meiling Wang's current company
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Meiling Wang work experience
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Business Intelligence Engineer Ii
Business Intelligence Engineer Ii
Senior Data Analytics Specialist
• 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).
Data Analytics Specialist
Data Scientist (Practicum)
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
Data Analyst Intern
• 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
Risk Analysis Intern
-Assessed risks by analyzing financial and non-financial information extracted from S&P Capital IQ, Audit Analytics, and SEC fillings
Internal Audit Intern
-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
Colleagues at Amazon
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Péter Gyula
Colleague at AmazonMonorierdő, Pest, Hungary
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RO
Rupert Olenick
Colleague at AmazonChennai, Tamil Nadu, India
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AB
A B
Colleague at AmazonAlbany, Georgia, United States
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SS
Shijas Shiju
Colleague at AmazonErnakulam, Kerala, India
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DB
Daniele Broccini
Colleague at AmazonLa Spezia, Liguria, Italy
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NZ
Naji Zeineh
Colleague at AmazonIrvine, California, United States
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NP
Nazim P
Colleague at AmazonAbu Dhabi, Abu Dhabi Emirate, United Arab Emirates
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LW
Loretta Wenninger
Colleague at AmazonFranklin, Wisconsin, United States
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SQ
Sheeraz Qaisrani
Colleague at AmazonSharjah, Sharjah Emirate, United Arab Emirates
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IF
Isabela Furlan
Colleague at AmazonOsasco, São Paulo, Brazil
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Meiling Wang education
Master Of Science - Ms, Business Analytics
Bachelor Of Arts (B.A.), Accounting, Business Administration, And Math
Frequently asked questions about Meiling Wang
Quick answers generated from the profile data available on this page.
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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