Philip Grosse Email and Phone Number
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Experienced Statistician and Statistics/Statistical Programming Instructor with a demonstrated history of applied research in assessment and program evaluation. Skilled in Data Analytics, Data Visualization, Quantitative Research, SAS, and R. Strong research professional in the final year of doctoral study (Ph.D.) focused in Research Methodology from University of Pittsburgh, as well as pursuing certification in Data Science.
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Lead AnalystDuquesne Light Company Jan 2023 - PresentPittsburgh, Pa, UsAs a Lead Analyst in the Analytics Center of Excellence at DLC, I've led and completed several large, cross-department projects, as well as supported the company's sales forecasting modeling efforts by assisting with weather normalization impact on customer utilization. Specific accomplishments include: Investigated autocorrelation issues with sales forecasting models and made recommendations that were used to update the models.Quantified impact of solar panel installation on electric use among net-metering customers via a difference-in-differences analysis utilizing propensity score matching.Summarized customer rate class groups by utilization trends, revenue trends, business types, pandemic impacts, and trends of usage and revenue. -
Senior StatisticianUniversity Of Pittsburgh Mar 2020 - Jan 2023Pittsburgh, Pa, UsAs a consulting statistician, provided consultations regarding research design, power analyses, analytical approaches to several dozen clinical researchers. This also included providing analyses on several dozen projects, and helping co-author a dozen manuscripts that were published in peer-reviewed journals. Specific accomplishments include:Carried out random-effects meta-analyses that summarized the stability of peripheral immune markers in healthy adults over various time intervals.Built multilevel meta-analyses that summarized correlation between prenatal stress and externalizing adolescent behavior.Assessed the validity of a developed machine learning algorithm used to quantify the severity of metopic craniosynostosis via a cross-validation logistic regression, as well as investigating agreement of expert ratings against the algorithm's score.Conducted equivalence testing to assess whether or not phone counseling was was equivalent to preoperative office visits in terms of patient preparedness prior to pelvic organ prolapse surgery. -
Teaching Fellow/InstructorUniversity Of Pittsburgh Aug 2010 - Jan 2023Pittsburgh, Pa, UsLectured numerous introductory statistics courses for the Statistics department.Lectured several graduate courses for the Psychology in Education department including: Statistical Methodology I/II, Statistical Programming Packages (R and SAS), Introduction to Research Methods, and Experimental (and Quasi-Experimental) Design. -
Research Data AnalystUniversity Of Pittsburgh Sep 2017 - Mar 2020Pittsburgh, Pa, UsFunctioned as the day-to-day operational psychometrician working with our director, carrying out validity analyses, enhancing and automating scoring, scaling, and DIF detection procedures, and supporting logistics with internal analyses. Specific accomplishments include:Developed SAS macros that fully automated scoring and scaling procedures, reducing the time spent on these from approximately a month to a single day.Created a new logistic regression procedure for detecting DIF and produced the code to automate the process. Trained and delegated data and analysis tasks to two graduate student researchers.Launched and analyzed survey results in real-time at a standard-setting conference. -
Data AnalystHpw Associates, Llc Sep 2013 - Aug 2017Pittsburgh, Pa, UsPerformed as the solitary full-time data analyst for the company, fulfilling data-related requests, producing data collection instruments, and carrying out various analyses related to projects we evaluated. Specific functions included:Developed and carried out analysis plans for various projects related to drug abuse reduction and recidivism reduction programs.Completed cost analyses related to health claims data to evaluate the effectiveness of a case management intervention for substance abuse issues.Created a fiscal tracking report for various counties involved in a tobacco cessation program. -
InstructorPenn State New Kensington May 2013 - Jul 2014Lectured an introductory statistics course for undergraduates for the 2013 and 2014 summer terms.
Philip Grosse Skills
Philip Grosse Education Details
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University Of PittsburghApplied Statistics -
Duquesne UniversitySecondary Mathematics -
Carnegie Mellon UniversityMathematical Sciences
Frequently Asked Questions about Philip Grosse
What company does Philip Grosse work for?
Philip Grosse works for Duquesne Light Company
What is Philip Grosse's role at the current company?
Philip Grosse's current role is Lead Analyst at Duquesne Light Company.
What is Philip Grosse's email address?
Philip Grosse's email address is ph****@****soc.com
What is Philip Grosse's direct phone number?
Philip Grosse's direct phone number is +141273*****
What schools did Philip Grosse attend?
Philip Grosse attended University Of Pittsburgh, Duquesne University, Carnegie Mellon University.
What are some of Philip Grosse's interests?
Philip Grosse has interest in Social Services, Economic Empowerment, Civil Rights And Social Action, Education, Science And Technology, Human Rights, Health.
What skills is Philip Grosse known for?
Philip Grosse has skills like Statistics, Data Analysis, Research, Teaching, University Teaching, Spss, Qualitative Research, Microsoft Office, Sas Programming, R, Quantitative Research, Data Modeling.
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