Max Wang Email & Phone Number
@cubesmart.com
3 phones found area 215 and 888
LinkedIn matched
Who is Max Wang? Overview
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Max Wang is listed as Adjunct Professor at Penn State University, based in Greater Philadelphia, United States. AeroLeads shows a work email signal at cubesmart.com, phone signal with area code 215, 888, and a matched LinkedIn profile for Max Wang.
Max Wang previously worked as AI Leader at Aignyte and Owner at Octainatics. Max Wang holds Master'S, Statistics from Stanford University.
Email format at Penn State University
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AeroLeads found 1 current-domain work email signal for Max Wang. Compare company email patterns before reaching out.
About Max Wang
An innovative analytics leader who possesses in-depth knowledge and hands-on experience in cutting-edge analytics. A collaborative partner who develops high-impact solutions to help management make faster and better decisions. A big-picture thinker who challenges the status-quo, takes initiatives, and delivers results. Specialties: marketing analytics ● customer profiling ● segmentation ● acquisition ● retention ● cross & up-sell ● data collection ● basket analysis ● product affinity ● lead generation ● event–based marketing ● life-time value ● credit risk management ● scorecard development & management ● digital analytics ● P&L analysis ● dashboard reporting ● financial forecasting ● KPI development ● ROI management. Technical Skills: SAS ▪ SQL ▪ MATLAB ▪ R ▪ S-Plus ▪ SPSS ▪ CART ▪ CHAID ▪ Weka ▪ Knowledge Seeker ▪ Oracle ▪ UNIX ▪ Sun ▪ DB2 ▪ EXCEL ▪ Tableau ▪ Microstrategy ▪ Google Analytics ▪ Linear Models ▪ Generalized Linear Models ▪ Two-Stage Models ▪ Ensemble Models ▪ Mixture Models ▪ Mixed Models ▪ Time-Series ▪ Survival Analysis ▪ Neural Network ▪ Bayesian ▪ MCMC ▪ Random Forest ▪ SVM ▪ Boosting ▪ DOE ▪ Conjoint Study ▪ Linear & Nonlinear Optimization • • • • • • • • • • • • • • Creative Problem Solver • Strategic Thinker with Know-How • • • • • • • • • • • • • • • • • • • • • • • • • Actionable Analytical Insights • Adept at Developing Analytical Talent • • • • • • • • • • •
Listed skills include Analytics, Segmentation, Predictive Modeling, Data Mining, and 14 others.
Max Wang's current company
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Max Wang work experience
A career timeline built from the work history available for this profile.
Ai Leader
Current* Lead the data science and AI capability to develop and deploy a proprietary, transformative AI technology. * Deliver the promise to our customers that is to SIGNIFICANTLY improve their Direct Marketing performance.
Adjunct Professor
Current* Teach the fundamentals and practices of data science and AI.* Lead comprehensive discussions on business problem formulation, solution design, and implementation.
Owner
* Provide consultancy for mid-sized and small businesses on leveraging AI and Analytics * Develop data driven solutions with cutting edge AI technology and advanced methodology
Sr. Director Of Data Science
Director Of Data Science
Partner & Principal Data Scientist
QuaEra Insights’ (now Aignyte) objective is to help companies optimize their business decisions using scientific methods and quantitative analysis.
Vp Analytics & Data Scientist
- Created and advanced analytical capabilities.- Managed a team that was responsible for web analytics and offline/online advanced analytics.- Explored and evaluated internal and external data (SiteCatalyst, Google Analytics, Epsilon, Experian, Acxiom, Neustar, TowerData, etc.) - Provided customer and market insights that fueled product development and generated revenues. - Conducted reporting and advanced analytics for by channel and across channels (Digital, TV, Direct Mail, Email, Radio, Print).
Marketing Analytics Executive
Responsible for Marketing analytics that improved new account acquisition, risk management, reporting and other value added activities.- Explored and evaluated data for lead generation. - Developed predictive models and selected targets for weekly direct mail. - Mined transactional data and behavioral data for market insight that increased response, mitigated risk and increased retention. - Developed dashboards, ran ad hoc reports, and automated standard reports.
Director Of Marketing Analytics
- Created Analytics roadmap- Built competitive analytcs capability- Provided strategic support for Marketing activities
Sr. Manager, Advanced Analytics
- Managed a team of statisticians, consultants- Conceptualized and implemented integrated marketing programs- Responsible for setting analytical strategy and roadmap
Statistical Consultant
- Customer and market segmentation- Auto and home insurance pricing research - Data mining and predictive modeling
Credit Analyst
- Risk, response, lifetime value, retention, winback models- Origination, risk management, customer engagement program development
Max Wang education
Master'S, Statistics
Doctor Of Philosophy (Ph.D.), Applied Mathematics
Frequently asked questions about Max Wang
Quick answers generated from the profile data available on this page.
What company does Max Wang work for?
Max Wang works for Penn State University.
What is Max Wang's role at Penn State University?
Max Wang is listed as Adjunct Professor at Penn State University.
What is Max Wang's email address?
AeroLeads has found 1 work email signal at @cubesmart.com for Max Wang at Penn State University.
What is Max Wang's phone number?
AeroLeads has found 3 phone signal(s) with area code 215, 888 for Max Wang at Penn State University.
Where is Max Wang based?
Max Wang is based in Greater Philadelphia, United States while working with Penn State University.
What companies has Max Wang worked for?
Max Wang has worked for Penn State University, Aignyte, Octainatics, Cubesmart, and Quaera Insights.
How can I contact Max Wang?
You can use AeroLeads to view verified contact signals for Max Wang at Penn State University, including work email, phone, and LinkedIn data when available.
What schools did Max Wang attend?
Max Wang holds Master'S, Statistics from Stanford University.
What skills is Max Wang known for?
Max Wang is listed with skills including Analytics, Segmentation, Predictive Modeling, Data Mining, Sas, Marketing Analytics, Predictive Analytics, and Statistical Modeling.
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