Ben Cortese Email & Phone Number
@ksrinc.com
2 phones found area 607 and 315
LinkedIn matched
Who is Ben Cortese? Overview
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Ben Cortese is listed as Quantitative Thought Leader | Curating innovative, data-driven solutions through end to end quant research at KS&R, based in Syracuse, New York, United States. AeroLeads shows a work email signal at ksrinc.com, phone signal with area code 607, 315, and a matched LinkedIn profile for Ben Cortese.
Ben Cortese previously worked as Vice President at Ks&R and Director of Marketing Sciences at Ks&R. Ben Cortese holds Doctor Of Philosophy (Phd), Mathematics And Statistics from Syracuse University.
Email format at KS&R
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AeroLeads found 1 current-domain work email signal for Ben Cortese. Compare company email patterns before reaching out.
About Ben Cortese
I’ve always enjoyed teaching, so much so that I originally planned to be a high school math teacher, and later pivoted to pursue a career in academia. During grad school, however, I realized my true passion was to apply my mathematical and statistical knowledge to solve complex, real-world problems.Lucky enough, while working on my dissertation, one of my committee members shared an internship opportunity as a data scientist with a nationally recognized market research firm. This was just what I was looking for, and after a few weeks applying what I learned directly to business problems, I never looked back.Every day in this field brings new and exciting challenges. Along the way, I’ve developed a wide array of statistical tools to provide consultation and data-driven solutions in the areas of pricing research, new product development, feature prioritization, and segmentation, to name a few.In my current role as VP of Decisions Sciences & Innovation, my original passion for teaching has become a reality. Each day I have the opportunity to share what I’ve learned in my career through professional development and training with my team and consultation with our clients. I have the best of both worlds – exercising creative problem solving for complex business problems and ongoing teaching opportunities, all through the lens of quantitative research.I welcome the opportunity to share my point of view on the best approach to tackle a tough quant problem or simply discuss my journey and experiences.
Listed skills include Statistical Modeling, R, Statistics, Latex, and 25 others.
Ben Cortese's current company
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Ben Cortese work experience
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Director Of Marketing Sciences
Senior Statistician & Bi Consultant
Primary focus on the application of advanced analytics techniques, including conjoint (MBC and CBC), driver analysis, and predictive modeling, for many key KS&R clients. Development and execution of BI & data visualization tools primarily via R Shiny and Excel. Ongoing exploration and evaluation of key marketing research quantitative methodologies.
Statistician And Bi Consultant
Responsible for internal consulting on projects such as discrete choice, Bayesian network modeling, key driver analysis, text analytics, segmentation, factor analysis, TURF, predictive modeling, classification and many others.Build business intelligence tools and market simulators using R Shiny and Power BI.
Teaching Assistant
Translated and explained mathematical concepts to undergraduate and graduate students of variousmajors.Read and assessed mathematics performed by others and provided constructive feedback.Developed and implemented curriculum for a five day course in R programming and statistics, co-taught with Dr. Hyune-Ju Kim.
Tutor
Guided open tutoring sessions for undergraduate mathematics courses of all levels.
Co-Mathematics Coordinator
Managed the mathematics instructors and consultants for the SummerStart program for pre-freshmanat Syracuse University.
Research Assistant
Analyzed the relationship between cancer incidence and mortality rates using data from the SEER*Stat database.Modeled rates to detect and estimate the locations of change points using a joinpoint model fit andthe Joinpoint Trends Analysis Software.Programmed and compared various models using the statistical packages R and Excel.Reported the results in a clear and concise format using the R package knitr.
Research Assistant
Analyze the effect of additional parameters to reduce experimental noise in clinical decision rules using the statistical package R under the guidance of Dr. Richard Spencer, Senior Investigator, NIA.
Summer Internship Program In Biomedical Research
Analyze the improvement in sensitivity and specificity of tissue classification by MRI through sequential addition of variables using the statistical package R under the guidance of Dr. Richard Spencer, Senior Investigator, NIA.
Ben Cortese education
Doctor Of Philosophy (Phd), Mathematics And Statistics
Master Of Science (Ms), Mathematics
Bachelor Of Science (Bs), Mathematics
Frequently asked questions about Ben Cortese
Quick answers generated from the profile data available on this page.
What company does Ben Cortese work for?
Ben Cortese works for KS&R.
What is Ben Cortese's role at KS&R?
Ben Cortese is listed as Quantitative Thought Leader | Curating innovative, data-driven solutions through end to end quant research at KS&R.
What is Ben Cortese's email address?
AeroLeads has found 1 work email signal at @ksrinc.com for Ben Cortese at KS&R.
What is Ben Cortese's phone number?
AeroLeads has found 2 phone signal(s) with area code 607, 315 for Ben Cortese at KS&R.
Where is Ben Cortese based?
Ben Cortese is based in Syracuse, New York, United States while working with KS&R.
What companies has Ben Cortese worked for?
Ben Cortese has worked for Ks&R, Syracuse University, National Institute On Aging, and National Institutes Of Health.
How can I contact Ben Cortese?
You can use AeroLeads to view verified contact signals for Ben Cortese at KS&R, including work email, phone, and LinkedIn data when available.
What schools did Ben Cortese attend?
Ben Cortese holds Doctor Of Philosophy (Phd), Mathematics And Statistics from Syracuse University.
What skills is Ben Cortese known for?
Ben Cortese is listed with skills including Statistical Modeling, R, Statistics, Latex, University Teaching, Statistical Software, Statistical Data Analysis, and Microsoft Excel.
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