Pei-Ju (Pj) Sung Email & Phone Number
@sofi.com
1 phone found area 607
LinkedIn matched
Who is Pei-Ju (Pj) Sung? Overview
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Pei-Ju (Pj) Sung is listed as Software Engineer, Machine Learning at Meta, a company with 1 employees, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at sofi.com, phone signal with area code 607, and a matched LinkedIn profile for Pei-Ju (Pj) Sung.
Pei-Ju (Pj) Sung previously worked as Staff Data Scientist - Machine Learning at Sofi and Director, Model Risk Management at Visa. Pei-Ju (Pj) Sung holds Doctor Of Philosophy (Ph.D.), Applied Economics from Western Michigan University.
Email format at Meta
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AeroLeads found 1 current-domain work email signal for Pei-Ju (Pj) Sung. Compare company email patterns before reaching out.
About Pei-Ju (Pj) Sung
• Ph.D in Economics with 8+ years of industry experience in data science, predictive analytics, and machine learning• Experienced in using big data tools (Python, SQL, Hadoop, AWS) to develop and deploy end-to-end ML models• Leveraged ML models, experimental design, and data visualization to drive business performance and revenue growth• Strong ability to collaborate with cross-functional teams and communicate complex data solutions to senior stakeholders
Listed skills include Statistics, Data Analysis, Econometrics, Stata, and 36 others.
Pei-Ju (Pj) Sung's current company
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Pei-Ju (Pj) Sung work experience
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Staff Data Scientist - Machine Learning
Current- Developed machine learning models (LightGBM, LSTM, neural network) for loan payments/delinquencies with over 20MM records and 2K attributes. After deployment in Feb. 2023, the model achieved 11% AUC improvement over.
- Designed A/B tests, define performance metrics, and estimate the impacts for collection strategies. Increased the right person contact (RPC) rate by 35% and and promise-to-pay (PTP) rate by 20%
- Developed tools and metrics for loss forecast, improving the annual forecast accuracy (MSE) by 34%
- Communicated actionable insights for improving collection strategies to senior stakeholders (senior director/VP level)
- Tools/frameworks: Python/Jupyter, TensorFlow, Keras, scikit-learn, NumPy, Pandas, matplotlib, SQL, AWS, git
Director, Model Risk Management
- Built fraud detection ML models (LightGBM, RNN) to challenge and improve the models in production, processing sample size of over 300MM transactions and 150 attributes using Hadoop
- Collaborated with cross-functional team on improving internal machine learning platform for validation team
- Communicated key findings to cross-functional stakeholders and corporate executives (SVP level)
- Tools/frameworks: Python/Jupyter, TensorFlow, Keras, scikit-learn, NumPy, Pandas, matplotlib, SQL, git, Hadoop
Senior Data Scientist - Credit Risk Strategy
- Built data-driven credit strategies through exploratory analyses and data visualization
- Developed key performance metrics and dashboards in Tableau to monitor and visualize strategy impacts
- Communicated key findings to cross-functional stakeholders and company C-suite executives
- Evaluated opportunity and risk for new student loan products through data analysis on Experian Sandbox data (years of credit data on 245MM consumers) using Python and Hadoop
- Tools/frameworks: Tableau, Python/Jupyter, scikit-learn, NumPy, Pandas, matplotlib, SQL, git, Hadoop
Model Validation Analyst, Avp
- Identified sources of model risk and conducted effective challenges to models
- Presented key findings and responded to ad-hoc questions from stakeholders and government regulatory agencies
- Models validated: ALLL models (FAS114 Impairment Calculation), IFRS9, CCAR models (C&I PD/LGD), PPNR (Prepayment, New volume, Utilization), BSA/AML models (KYC), Scorecards (Auto, SFR, Credit Card)
- Received Risk Recognition Award for work excellence in 2018Q3
- Tools: SAS, Python, NumPy, Pandas, matplotlib, scikit-learn, time series model, logistic regression, loss forecast
Colleagues at Meta
Other employees you can reach at sofi.com. View company contacts for 1 employees →
Nick Ripes
Colleague at Meta
Healdsburg, California, United States, United States
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PS
Parag Sampat
Colleague at Meta
San Francisco, California, United States, United States
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ST
Seth T.
Colleague at Meta
Seattle, Washington, United States, United States
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SS
Saidi Sofia
Colleague at Meta
Nave, Lombardy, Italy, Italy
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JR
Jillian Roman
Colleague at Meta
Greensboro--Winston-Salem--High Point Area, United States
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MT
Muhammad Taqi
Colleague at Meta
Bahawalpur, Punjab, Pakistan, Pakistan
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李
李俊浩
Colleague at Meta
Seoul, South Korea, Korea, Republic Of
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JS
Jessica Sillyman
Colleague at Meta
Hanover, Pennsylvania, United States, United States
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KO
Kristy Owens
Colleague at Meta
Greater Philadelphia, United States
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EG
Emily G.
Colleague at Meta
San Francisco, California, United States, United States
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Pei-Ju (Pj) Sung education
Doctor Of Philosophy (Ph.D.), Applied Economics
Master’S Degree, Economics
Bachelor’S Degree, Sociology
Frequently asked questions about Pei-Ju (Pj) Sung
Quick answers generated from the profile data available on this page.
What company does Pei-Ju (Pj) Sung work for?
Pei-Ju (Pj) Sung works for Meta.
What is Pei-Ju (Pj) Sung's role at Meta?
Pei-Ju (Pj) Sung is listed as Software Engineer, Machine Learning at Meta.
What is Pei-Ju (Pj) Sung's email address?
AeroLeads has found 1 work email signal at @sofi.com for Pei-Ju (Pj) Sung at Meta.
What is Pei-Ju (Pj) Sung's phone number?
AeroLeads has found 1 phone signal(s) with area code 607 for Pei-Ju (Pj) Sung at Meta.
Where is Pei-Ju (Pj) Sung based?
Pei-Ju (Pj) Sung is based in San Francisco Bay Area, United States, United States while working with Meta.
What companies has Pei-Ju (Pj) Sung worked for?
Pei-Ju (Pj) Sung has worked for Meta, Sofi, Visa, and Bank Of The West.
Who are Pei-Ju (Pj) Sung's colleagues at Meta?
Pei-Ju (Pj) Sung's colleagues at Meta include Nick Ripes, Parag Sampat, Seth T., Saidi Sofia, and Jillian Roman.
How can I contact Pei-Ju (Pj) Sung?
You can use AeroLeads to view verified contact signals for Pei-Ju (Pj) Sung at Meta, including work email, phone, and LinkedIn data when available.
What schools did Pei-Ju (Pj) Sung attend?
Pei-Ju (Pj) Sung holds Doctor Of Philosophy (Ph.D.), Applied Economics from Western Michigan University.
What skills is Pei-Ju (Pj) Sung known for?
Pei-Ju (Pj) Sung is listed with skills including Statistics, Data Analysis, Econometrics, Stata, Sas, R, Regression Analysis, and Time Series Analysis.
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