Albert (Wei) Y.
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Albert (Wei) Y. Email & Phone Number

Data Scientist | KPMG, Accenture | MASc in Data Science at MoBagel
Location: New York City Metropolitan Area, United States 5 work roles 3 schools
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Current company
Role
Data Scientist | KPMG, Accenture | MASc in Data Science
Location
New York City Metropolitan Area, United States
Company size

Who is Albert (Wei) Y.? Overview

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Quick answer

Albert (Wei) Y. is listed as Data Scientist | KPMG, Accenture | MASc in Data Science at MoBagel, a with 33 employees, based in New York City Metropolitan Area, United States. AeroLeads shows a matched LinkedIn profile for Albert (Wei) Y..

Albert (Wei) Y. previously worked as ML & Analytics Solution (advising) at Mobagel and Senior Data Scientist at Amberdata. Albert (Wei) Y. holds Master Of Science (M.A.Sc.), Computational Analytics from Georgia Institute Of Technology.

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Email format at MoBagel

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MoBagel

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Profile bio

About Albert (Wei) Y.

I'm a data scientist/management consultant with years of experience building both internal and client-facing data, AI/ML solutions for teams across Fortune 500, analytics, crypto use cases. Whether at KPMG (client: Capital One, LPL, Vanguard),or Accenture (US govt, Verizon, Aetna), or Startups, I've always thrived in being the subject matter expert to best understand a business's data + AI/ML , and then the doer to develop + deploy related solutions.I have years of experience in data science consulting + implementation, including model building, machine learning, natural language processing, and a background in statistics, Python, SQL, R, Tableau, Databricks and AWS.

Current workplace

Albert (Wei) Y.'s current company

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MoBagel
Mobagel
Data Scientist | KPMG, Accenture | MASc in Data Science
san jose, california, united states
Website
Employees
33
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5 roles · 5 years

Albert (Wei) Y. work experience

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Ml & Analytics Solution (Advising)

Current
Jan 2021 - Present

Senior Data Scientist

- build quant research report focus on centralized and decentralized exchange leveraging python,SQL and cloud technology

2022 - 2023 ~1 yr

Senior Data Scientist(Project Lead)

New York, New York, United States

well-known ETF fund New York | Python - Led client engagement and complex data/ML pipeline work - Customer User behavior analysis on recommending best-ETF to clients. - Build AI recommendation engine to suggest investment strategy to users. US Financial Broker - SQL | Python - Built data pipeline and API for address verification ( ~20M records) and successfully identify 95% of the missing address. - Software Development by applying Object-Oriented Design and pythonic way (pandas) of programming.

Aug 2019 - Nov 2020

Data Scientist

New York, New York, United States

Client projects:Accenture AI Hackathon | TensorFlow (Keras) - Used LSTM (long-short recurrent NN) to build the model for time series data. - Predict each country's CO2 emissions based on various energy consumption information.Verizon | Oracle SQL | Python June 2018 - Present - Used Oracle database/python to conduct in-depth, complex data analysis on national Verizon 5G sites’ built-progress. - Built data report for Verizon oneFiber executive board that includes vendor tracking report, sites/ segment progress.Accenture AI team | AWS Rekognition, Lambda, S3 | Python Jan 2018 - March 2018 - Worked as python developer to build AWS-based machine learning product. - Created a sentimental/engagement analysis tool that can analyze an individual’s emotion for real-time analysis by using Python, AWS services. - Used image coordinate and facial attributes data from conference participants to build real-time population heatmap and other applications. Healthcare Insurance - Aetna | Python, Spark, Hive Aug 2017 - Dec 2017 - Built data pipeline with Spark (pyspark) which automatically queries provider information and updates the existing distributed database stored in Hadoop. - Conduct Natural Language Processing on provider information (Nam Entity Recognition). Injury Prediction - Wisconsin Transportation Dept | Python Aug 2017- Dec 2017 - Created a ML model (Neural Network & Polynomial Logistic Regression) to predict potential Highway injuries based on road conditions and other factors. - Queried, analyzed and visualized the transportation information to find predictive patterns across types of accidents, locations and weather conditions.

Jul 2017 - Aug 2019

Big Data Excellence Intern

Princeton, New Jersey

-Manipulate and analyze Electronic Medical Records in GE Centricty and IBM Explorys datasets specifically focused on Diabetes Population (around 4 millions patients).-Design a model to classify Type I & Type II diabetes patients by selecting significant factors (prescription, age, location) and suitable ML model (RandomForest, KNN, logistic)

Jun 2016 - Sep 2016
Team & coworkers

Colleagues at MoBagel

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3 education records

Albert (Wei) Y. education

Master Of Science (M.A.Sc.), Computational Analytics

Activities and Societies: - Machine Learning - Database Design - Machine Learning for Trading - Analytics tools for visualization

FAQ

Frequently asked questions about Albert (Wei) Y.

Quick answers generated from the profile data available on this page.

What company does Albert (Wei) Y. work for?

Albert (Wei) Y. works for MoBagel.

What is Albert (Wei) Y.'s role at MoBagel?

Albert (Wei) Y. is listed as Data Scientist | KPMG, Accenture | MASc in Data Science at MoBagel.

Where is Albert (Wei) Y. based?

Albert (Wei) Y. is based in New York City Metropolitan Area, United States while working with MoBagel.

What companies has Albert (Wei) Y. worked for?

Albert (Wei) Y. has worked for Mobagel, Amberdata, Kpmg Us, Accenture, and Novo Nordisk.

Who are Albert (Wei) Y.'s colleagues at MoBagel?

Albert (Wei) Y.'s colleagues at MoBagel include Cybelle Cheng, Jeffery Bai, 余珈慈, 廖渝璇, and Andy Chen.

How can I contact Albert (Wei) Y.?

You can use AeroLeads to view verified contact signals for Albert (Wei) Y. at MoBagel, including work email, phone, and LinkedIn data when available.

What schools did Albert (Wei) Y. attend?

Albert (Wei) Y. holds Master Of Science (M.A.Sc.), Computational Analytics from Georgia Institute Of Technology.

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