Shanshan Bi, Ph.D. Email & Phone Number
@gapac.com
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Who is Shanshan Bi, Ph.D.? Overview
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Shanshan Bi, Ph.D. is listed as Senior Manager Data Science, Marketing, LLM, AI at Pfizer, based in Falls Church, Virginia, United States. AeroLeads shows a work email signal at gapac.com and a matched LinkedIn profile for Shanshan Bi, Ph.D..
Shanshan Bi, Ph.D. previously worked as Senior Manager Data Science at Pfizer and Data Science Manager at Novelis. Shanshan Bi, Ph.D. holds Doctor Of Philosophy (Ph.D.), Electrical, Electronics And Communications Engineering from Missouri University Of Science And Technology.
Email format at Pfizer
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AeroLeads found 1 current-domain work email signal for Shanshan Bi, Ph.D.. Compare company email patterns before reaching out.
About Shanshan Bi, Ph.D.
Ph.D. with 6+ years’ experience in applying data mining, statistical, and machine learning technologies to data analytics,including data parsing, segmentation, feature engineering, predictive modeling, and data visualization. Led several End-to-End projects from defining problems, generating insight from data, modeling, designing data pipelines,to deployment to solve real-world big data (TB) manufacturing problems. 2+ years’ experience in data analytics software development (Pyqt5/Bokeh/MATLAB) and architecture design Programming & skills: Python, AWS, SAS, MATLAB, R, Tableau, SQL, GitHub, Azure DevOps. ML related: regression, decision tree, random forest, ensemble, xgboost, Light GBM, neural network (NN), time seriesanalytics, clustering, anomaly detection, SVM, PCA, kNN Other backgrounds: control engineering, cyber-physical system, Industry 4.0
Listed skills include Matlab, Data Analytics, Python, Hadoop, and 44 others.
Shanshan Bi, Ph.D.'s current company
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Shanshan Bi, Ph.D. work experience
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Data Science Manager
Lead Data Scientist
Data Scientist
Data Scientist
- Big data analysis, predictive modelling, fault prognosis and diagnosis, system control strategy optimization
- Software development for industrial big data analysis, including machine learning algorithm design and implementation, data processing, and predictive modelling algorithms design
Presenter And Researcher Of Missouri S&T
- Project 1: Reinforcement learning application to vehicle-to-vehicle communication based accident avoidance strategy for multiple self-driving cars (IMS/NSF)
- Modeled the relation between the communication quality and vehicle speed, acceleration, path switching
- Proposed one-class SVM to detect cyber network fault and predict the potential threats caused by cyber dynamics and uncertainties
- Proposed a resilience solution to optimize the decision making of car speed and path selection in an online manner
- Presented on 33rd Industry Advisory Board MeetingProject 2: One-class SVM Based Cyber Fault Prognosis for Industrial Networked Control Systems (IMS/NSF)
- Applied LibSVM to classify faulty and healthy data
Graduate Research Assistant, Embedded Control System And Rfid Lab
- Project 5: Capacity Prediction Based on RBF Neural Network for Routing Path in Ad-hoc Networks (NSF)
- Employed an RBF neural network to train a model for transmission power vs. capacity
- Implemented data mining analysis to predict the maximum capacity of transmission path
- Proposed peer2peer and end2end routing scheme based on capacity information provided by data analysis
- First authored one paper in preparation to be submitted to IEEE Transactions on Instrumentation and MeasurementProject 6: Design of Hardware Platform for Multimodal Sensor Detection Networks (NSF)
- Tested chemical sensors based on thin-film bulk acoustic resonator (FBAR)
Research Assistant, Control Systems And Energy Recovery Lab
- Project: Integration, Dynamic Analysis and Operation for Waste Heat Recovery (973 National Project No. 2011CB710706)
- Proposed a PDE mathematical model for organic Rankine cycle (ORC) system
- Developed a data-driven model for ORC system by employing a recursive least square (RLS) estimator
- Studied RLS based general minimum variance (GMV) adaptive controller to regulate ORC system
- Drafted the technique reports and presentation materials for the cooperation with other institutions and universities
- Co-authored four publications, and one registered software for ORC system identification and regulation
Shanshan Bi, Ph.D. education
Doctor Of Philosophy (Ph.D.), Electrical, Electronics And Communications Engineering
Master'S Degree, Energy Recovery And Control
Frequently asked questions about Shanshan Bi, Ph.D.
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What company does Shanshan Bi, Ph.D. work for?
Shanshan Bi, Ph.D. works for Pfizer.
What is Shanshan Bi, Ph.D.'s role at Pfizer?
Shanshan Bi, Ph.D. is listed as Senior Manager Data Science, Marketing, LLM, AI at Pfizer.
What is Shanshan Bi, Ph.D.'s email address?
AeroLeads has found 1 work email signal at @gapac.com for Shanshan Bi, Ph.D. at Pfizer.
Where is Shanshan Bi, Ph.D. based?
Shanshan Bi, Ph.D. is based in Falls Church, Virginia, United States while working with Pfizer.
What companies has Shanshan Bi, Ph.D. worked for?
Shanshan Bi, Ph.D. has worked for Pfizer, Novelis, Georgia-Pacific Llc, Predictronics Corp., and Nsf Industry/University Cooperative Research Center For Intelligent Maintenance Systems (Ims).
How can I contact Shanshan Bi, Ph.D.?
You can use AeroLeads to view verified contact signals for Shanshan Bi, Ph.D. at Pfizer, including work email, phone, and LinkedIn data when available.
What schools did Shanshan Bi, Ph.D. attend?
Shanshan Bi, Ph.D. holds Doctor Of Philosophy (Ph.D.), Electrical, Electronics And Communications Engineering from Missouri University Of Science And Technology.
What skills is Shanshan Bi, Ph.D. known for?
Shanshan Bi, Ph.D. is listed with skills including Matlab, Data Analytics, Python, Hadoop, Machine Learning, Sql, C++, and Labview.
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