Fei Wang, Phd
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Fei Wang, Phd Email & Phone Number

Quant Analyst | Data Scientist | Machine Learning Engineer | Geophysicist | Engineering PhD | Problem Solving | Python | SQL at Webster Bank
Location: New York City Metropolitan Area, United States, United States 5 work roles 3 schools
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Current company
Webster Bank
Role
Quant Analyst | Data Scientist | Machine Learning Engineer | Geophysicist | Engineering PhD | Problem Solving | Python | SQL
Location
New York City Metropolitan Area, United States, United States
Company size
3149 employees

Who is Fei Wang, Phd? Overview

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Fei Wang, Phd is listed as Quant Analyst | Data Scientist | Machine Learning Engineer | Geophysicist | Engineering PhD | Problem Solving | Python | SQL at Webster Bank, a company with 3149 employees, based in New York City Metropolitan Area, United States, United States. AeroLeads shows a matched LinkedIn profile for Fei Wang, Phd.

Fei Wang, Phd previously worked as Senior Quant Analyst at Webster Bank and Machine Learning Specialist / Data Analyst / Data Scientist at Omdena. Fei Wang, Phd holds Doctor Of Philosophy (Phd), Chemical Engineering, Gpa: 3.83 from Rice University.

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Webster Bank

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About Fei Wang, Phd

Work Authorization: Green Card Holder [Sponsorship not required]Programming Languages: Python, SQL, R, Matlab Data Visualization: Excel, Tableau, Plotly, StreamlitStatistical Analysis: Regression modeling, Hypothesis testing, Time-series analysisMachine Learning: Linear regression, Logistic regression, Random Forest, XGBoost, K-means clustering, PCA, Image classification (CNN), Sentiment Analysis (LLM)Tools: Scikit-Learn, TensorFlow, Keras, PyTorch, Transformers, LangChain, PySpark, AWS🚀 Pivoting from Seismic Imaging to Machine Learning 🚀Hello! I’m Fei Wang, an engineering PhD with 5 years of expertise in seismic image analysis, now navigating through the exciting world of Data Science. After dedicating 5 years to the oil & gas industry as a Seismic Image Data Analyst / Data Scientist, where I delved deep into imaging, large data clean and transformation, and analytical problem solving, I have embarked on a journey to explore the expansive domain of Data Science and Machine Learning.My transition to Data Science has been a deliberate and well-structured journey. I immersed myself in a rigorous 600+ hour Data Science training program through Springboard, developing core competencies in Statistics, Machine Learning, Python, SQL and building my capstone projects. One of my capstones focuses on image classification for diagnosing plant leaf diseases using deep Convolutional Neural Networks (CNNs), built from scratch. 💡 Let's Connect!I’m always open to connecting with fellow data enthusiasts, engineers, and innovators. Whether you're interested in sharing insights, collaborating on projects, or just having a chat about the latest in technology and data - feel free to reach out!

Current workplace

Fei Wang, Phd's current company

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Webster Bank
Webster Bank
Quant Analyst | Data Scientist | Machine Learning Engineer | Geophysicist | Engineering PhD | Problem Solving | Python | SQL
waterbury, connecticut, united states
Website
websterbank.com
Employees
3149
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5 roles

Fei Wang, Phd work experience

A career timeline built from the work history available for this profile.

Senior Quant Analyst

Current
Webster Bank

Stamford, Connecticut, United States

May 2024 - Present

Machine Learning Specialist / Data Analyst / Data Scientist

Omdena

New York City Metropolitan Area

- Built Mistral-7B powered Non-Player Characters based on the Wizard of Oz book series with task mining to improve gaming experience, cloud computing on AWS EC2- Implemented Retrieval Augmented Generation (RAG) with LangChain framework- Created a Chatbot web application with Streamlit framework- Developed a shared codebase on a team of size 5, with Git.

Jan 2024 - Mar 2024

Springboard Data Science Apprenticeship

Springboard
  • Mastering skills in Python, SQL, data analysis, data visualization, hypothesistesting, and machine learning.
  • Completing 2 in-depth capstone projects on deep learning topics.
Jul 2023 - Dec 2023

Ibm Data Science Program

Coursera

- Developed skills in Data Science and Machine Learning- Honed hands-on experience on Python and SQL- Performed Data Visualization and Analysis through labs and assignments- Built binary classification model for a machine learning Capstone project using Logistic Regression, Decision Tree, KNN, and SVM

Mar 2023 - May 2023

Geophysics Data Scientist | Data Analyst

Cgg

United States

- Processed multi-TB seismic data to extract 3D images for below seabed- Optimized processing algorithms to clean, transform and structure complex signal data- Designed A/B tests (scenario tests) to compare performance of different geophysical models - Collaborated with cross-functional teams to fine tune internal processing models- Communicated with.

Sep 2017 - Aug 2022
Team & coworkers

Colleagues at Webster Bank

Other employees you can reach at websterbank.com. View company contacts for 3149 employees →

EM Ethan Miranda Ethan Miranda Colleague at Webster Bank Wethersfield, Connecticut, United States, United States View → LC Lew Calhoun Lew Calhoun Colleague at Webster Bank Cheshire, Connecticut, United States, United States View → FA Frances Areias Frances Areias Colleague at Webster Bank United States, United States View → VV Valentina Velez Valentina Velez Colleague at Webster Bank Corpus Christi, Texas, United States, United States View → KP Karen Pellett Karen Pellett Colleague at Webster Bank Portland, Connecticut, United States, United States View → TD Trish Defeo Trish Defeo Colleague at Webster Bank Derby, Connecticut, United States, United States View → JM Joel Meislin Joel Meislin Colleague at Webster Bank Tonawanda, New York, United States, United States View → EL Ellen Levine Ellen Levine Colleague at Webster Bank West Hartford, Connecticut, United States, United States View → ML Michele Lyons Michele Lyons Colleague at Webster Bank Waterbury, Connecticut, United States, United States View → MU Mohammad Umaar Mohammad Umaar Colleague at Webster Bank Reston, Virginia, United States, United States View →
3 education records

Fei Wang, Phd education

Doctor Of Philosophy (Phd), Chemical Engineering, Gpa: 3.83

Rice University

Organized and coordinated 2016 consortium on petroleum thermodynamics & flow assurance

Data Science Career Track

Springboard

• 600+ hours of hands-on course material • 1:1 industry expert mentor oversight • 2 in-depth deep learning portfolio projects

Bachelor'S Degree, Chemical Engineering, Gpa: 3.85, Top 5 Out Of 245

Tianjin University

China National Scholarship receiver, top 2% nationwide Beiyang Chenhongfang Scholarship receiver, top 5% in the major

FAQ

Frequently asked questions about Fei Wang, Phd

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

What company does Fei Wang, Phd work for?

Fei Wang, Phd works for Webster Bank.

What is Fei Wang, Phd's role at Webster Bank?

Fei Wang, Phd is listed as Quant Analyst | Data Scientist | Machine Learning Engineer | Geophysicist | Engineering PhD | Problem Solving | Python | SQL at Webster Bank.

Where is Fei Wang, Phd based?

Fei Wang, Phd is based in New York City Metropolitan Area, United States, United States while working with Webster Bank.

What companies has Fei Wang, Phd worked for?

Fei Wang, Phd has worked for Webster Bank, Omdena, Springboard, Coursera, and Cgg.

Who are Fei Wang, Phd's colleagues at Webster Bank?

Fei Wang, Phd's colleagues at Webster Bank include Ethan Miranda, Lew Calhoun, Frances Areias, Valentina Velez, and Karen Pellett.

How can I contact Fei Wang, Phd?

You can use AeroLeads to view verified contact signals for Fei Wang, Phd at Webster Bank, including work email, phone, and LinkedIn data when available.

What schools did Fei Wang, Phd attend?

Fei Wang, Phd holds Doctor Of Philosophy (Phd), Chemical Engineering, Gpa: 3.83 from Rice University.

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