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Qualification
Poste
• Launching Quantitative Models and Credit Risk Decision Rules Into Production To Monitor Dealer
Métier
Business intelligence & analyse de données
Secteur d'activité
Non renseigné non renseigné
Origine
Profil sourcé
Expérience
10+ ans
Compétences
R, Tableau, QlikView, SQL, Power BI
Identité et contact

Vous devez être abonné pour voir le nom et les coordonnées de ce profil.

Localisation
Maroc
Source
Recherche web
CV anonyme

CV anonymisé automatiquement : nom, coordonnées et liens retirés. Les mentions entre crochets remplacent une information retirée.

NextData
Curriculum vitae anonymisé
ND-CV-9173E0AE

Business intelligence & analyse de données

Maroc Identité et coordonnées communiquées par NextData

[nom]

Phone: [téléphone]

Email: [e-mail]

EDUCATION

MBA · Finance, Miami University, 2016

Ph.D. · Applied Economics, University of Florida, 2013

M.Sc. · Statistics, University of Florida, 2009

B.Sc. (Hon) · Statistics, Nelson Mandela University, 2006

B.Sc. · Mathematics, Nelson Mandela University, 2005

PROFESSIONAL EXPERIENCE

Section Supervisor – Dealer Credit

Ford Motor Company · January 2019 – current

  • Launching quantitative models and credit risk decision rules into production to monitor dealer operations, behavior, and risk structure.
  • Creating dashboards and visualizations with underlying models to explore suspicious activity and communicate trends effectively to business partners
  • Evaluating construction and mortgage loan risk portfolios by simulating hazard scenarios within ArcGIS software environment

Data Scientist

Ford Motor Company · February 2018 – December 2018

  • Lead Data Scientist providing analytical support to Ford Motor’s NEMT (Non-Emergency Medical Transportation) GoRide team
  • Developing and implementing analytical strategies to support customer acquisition, uncover operational inefficiencies and determine internal metrics for future growth
  • Combining knowledge and data from Ford’s Hadoop infrastructure to create better customer experiences
  • Creating insight and identifying potential future markets through the building and development of sophisticated mapping tools

Director of Business Intelligence

Fetch Rewards, Inc · April 2017 – December 2017

  • Adept at understanding both internal and external client needs and fulfilling their requests with sophisticated insights and analyses.
  • Worked with senior members within the organization as well as C-level executives (e.g., CIO, head of digital, etc.) at the client (e.g., KraftHeinz, Unilever, MillerCoors, etc.).
  • Instrumental in testing and providing initial client-facing dashboards which enabled the selection of the business intelligence system for the organization.
  • Key team member responsible for migrating legacy analyses into scalable, automated insight solutions.
  • Proactive in ensuring quality and precision of deliverables.
  • Skilled at communicating complex topics to clients into easy to understand, meaningful nuggets.

ACADEMIC EXPERIENCE

LEO Lecturer

University of Michigan · August 2022 – current

  • Taught business statistics to students within the undergraduate and M.B.A programs
  • Collaborated with professors and learning experience designers in launching and validating course curriculum
  • Continued support and review of class content to ensure MBA students gain best analytical techniques and practice within a data driven industry o Intermittent Lecturer · July 2021 – July 2022
  • Taught and assisted a variety of statistical classes across the graduate level curriculums

Visiting Assistant Professor

Miami University · August 2013 – January 2018

  • Taught business statistics to students —approximately 35 students per class, 200 students per semester
  • Developed, delivered, and graded lectures, assignments, projects, and examinations
  • Tutored students during assigned office hours, and provided guidance regarding their various courses
  • Established and facilitated a study abroad capstone course in South Africa o · Associate Director of the Center for Analytics and Data Science · June 2016 – May 2017
  • Managed projects to ensure quality and timely delivery to partners
  • Oversaw the development of the Analytics Learning Lab
  • Coordinated and oversaw center staff, technology needs, and support
  • Interacted and maintained relationships with corporate partners

CERTIFICATES

Machine Learning – Coursera (May 2018 – License HVHYFHP6YS9M)

Machine Learning: Regression – Coursera (Jun 2019)

TECHNOLOGY SKILLS

Programming languages: R, SAS, SQL

Statistical Software: SAS JMP, Minitab, SPSS, GAMS, Alteryx

Business Intelligence: Power BI, Tableau, Qlikview, ArcGIS

ACADEMIC PUBLICATIONS

Spreen, Thomas H., [nom], [nom] and Stephen H. Futch. “An Economic Assessment of the Impact of Huanglongbing on Citrus Tree Plantings in Florida.” HortScience 49(8): 1052-1055, August 2014

Spreen, Thomas H. and [nom] “Citrus Greening and Citrus Tree Planting in Florida.”

Extension Digital Information Source (EDIS) FE937, Food and Resource Economics Department, University of Florida, January 2014.

CV anonymisé présenté par NextData · Confidentiel · contact@nextdata.ma ND-CV-9173E0AE

Pour être mis en relation avec ce profil, indiquez la référence ND-CV-9173E0AE : contact@nextdata.ma

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