Che Smith, Phd Email & Phone Number
@davidson.edu
3 phones found area 678 and 303
LinkedIn matched
Who is Che Smith, Phd? Overview
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Che Smith, Phd is listed as Dynamic Analytics Leader | Leading High Impact teams with Empathy | Distilling Complex Data into Strategic Insights to drive Meaningful Results at Netflix, a with 17330 employees, based in Los Angeles, California, United States. AeroLeads shows a work email signal at davidson.edu, phone signal with area code 678, 303, and a matched LinkedIn profile for Che Smith, Phd.
Che Smith, Phd previously worked as Senior Analytics Engineer at Netflix and Visiting Assistant Professor of Data Science at Davidson College. Che Smith, Phd holds Phd, Biostatistics from University Of North Carolina At Chapel Hill.
Email format at Netflix
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About Che Smith, Phd
I am a dynamic Analytics Leader with a proven track record of distilling complex data into strategic insights that drive clearer, faster, and data-informed decisions. I am known for leading high-impact teams with empathy to foster collaborative solutions and drive meaningful results. I'm passionate about coaching people and taking the lead on setting the vision and objectives for my team.
Listed skills include Statistics, Biostatistics, Data Analysis, Epidemiology, and 46 others.
Che Smith, Phd's current company
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Che Smith, Phd work experience
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Senior Analytics Engineer
Current
Visiting Assistant Professor Of Data Science
- Teaching Essentials of Data Literacy on edX.org, to launch in June 2020- Teaching: CSC 110 - Data Science & Society; MAT 105 - Introductory Statistics- Developed an introductory level statistics course with a focus in Justice, Equality, and Community to be launched in Spring 2020 (MAT 105) The course is the first Mathematics & Computer Science offering of an introductory statistics course- Supervised 3 independent study courses with a total of 5 students; topics include fairness and explainability in machine learning, predictive analytics, and natural language processing- Director of Data CATS (Consulting, Analytics, & Tutoring Services) at the Hurt Hub @ Davidson Assist students, faculty, and staff with data-related projects Web scraping using R/Python; multilevel modeling using R; data wrangling and visualization- Exploring techniques to achieve fairness and mitigate bias in data science, AI, and machine learning- Developed and taught a workshop on Data Visualization in R (rdataviz.drchesmith.com)
Fellow
Insight Data Science is a seven week postdoctoral training fellowship that bridges the gap between academia and a career in data science. The program enables scientists to learn the industry specific skills needed to work in the growing field of big data at leading companies.● Developed a web application - ProjectMatchr (www.projectmatchr.io) - that recommends unique data science project ideas to data scientists. Getting away from the usual sources of data science projects and practice (e.g., Kaggle, MOOCs), my database contains information on unique and rigorous projects completed by more than 800 fellows from two selective data science career accelerator programs. ● Scraped data from data science career accelerator program sites using Python's Beautiful Soup module, and used natural language processing (NLP) to clean and process unstructured text.● Deployed an application using Python, Flask, Bootstrap, SQLAlchemy, and Amazon Web Services
Ceo/Founder
Advance Analytics provides services across the data lifecycle, from translating research/business questions into data strategy, to the collection, analysis, interpretation, and visualization of data. ● Provide statistical and analytic support to business and academic professionals● Apply advanced statistical models and techniques (e.g., principal component analysis, machine learning, panel/longitudinal data analysis, mixed and hierarchical models) to financial, public health, and sociology data● Co-author reports, journal articles, and other technical written products● Design infographics, fact sheets, presentation slides and other data-driven products
Mathematical Statistician
● Co-founded an R workgroup to develop well designed data products to increase efficiency of data analysis and to improve cross-discipline communication● Defended my statistical review of a hematology new drug application at a FDA Oncologic Drugs Advisory Committee meeting● Presented at agency-level and external meetings on subpopulation analyses and diversity in clinical trials ● Authored statistical reviews of two approved hematology drug products
Chief Innovation Officer
● Led requirements gathering and business process re-engineering for the development of a modernized integrated disease surveillance system for a large local health department; Worked with business analysts and project managers using Agile development and Scrum methodology● Increased data literacy of HIV prevention and advocacy organization through the use of customized data dashboards and infographics as tools for program planning and resource allocation● Provided support on client assignments to identify and execute strategies that improve data use and business intelligence for public health organizations and strategic partners ● Managed staff and operations at DC office● Directed internal business intelligence and digital identity strategies
Epidemiologist, Hahsta
● Worked as an epidemiologist in the Strategic Information Division of the HIV/AIDS, Hepatitis, STD, and TB Administration (HAHSTA)● Developed, planned, and implemented strategies for surveillance, epidemiological studies and disease investigations● Supported deployment of an integrated disease surveillance system● Prepared written products for a wide variety of audiences● Promoted innovative data visualization and data use strategies● Engaged community stakeholders in planning and evaluating programs
Biostatistician I, Department Of Biostatistical Sciences
● Provided statistical support to researchers in Cardiology, Endocrinology, and Public Health Sciences● Analyzed data from large-sample cohort studies of cardiovascular health including the Jackson Heart Study● Co-authored peer-reviewed manuscripts that were published in top cardiovascular journals● Developed monthly QC reports to assess inter-reader reliability for readings from Computed Tomography (CT) scans● Presented findings at local and national meetings
Statistical Consultant / Instructor
● Served as a teaching assistant for online version of BIOS 600: Introductory Biostatistics (2012)● Provided statistical support to researchers in the Biomedical Sciences (2007-2011)● Co-developed and co-taught a short course in Biostatistics/Quantitative Skills to first year biomedical sciences PhD students (2007-2011); Received glowing evaluations on teaching style and mastery of content● Taught lectures for BIOS 841: Statistical Consulting (2010)
Intern, Clinical Pharmacology Statistics And Programming
● Drafted a Statistical Analysis Plan for Phase II clinical trial in Oncology● Presented research on beta regression modeling of adherence to HIV medication at a national statistics meeting● Completed quality control (QC) analyses of tables and listings for Phase I clinical trials in Metabolics and Oncology
Intern, Clinical Pharmacology Statistics And Programming
● Analyzed data on patient adherence to HIV medication ● Performed QC analysis of Phase II metabolics clinical trial data listings and figures
Colleagues at Netflix
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Carlos Lebron
Colleague at NetflixMiami-Dade County, Florida, United States
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JH
Justine Hananiya
Colleague at NetflixYola, Adamawa State, Nigeria
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ZA
Zohra Azim
Colleague at NetflixFaisalabad, Punjab, Pakistan
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JB
John Bob
Colleague at NetflixLos Angeles Metropolitan Area, United States
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SA
Sofia Adduono
Colleague at NetflixNaples, Campania, Italy
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AO
Alejandro Ortiz
Colleague at NetflixSan Francisco, California, United States
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VW
Victoria White-Stevens
Colleague at NetflixLos Angeles Metropolitan Area, United States
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LL
Lizandro Lopez
Colleague at NetflixLima, Peru
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DC
David Chavez
Colleague at NetflixLos Gatos, California, United States
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EB
Emma Bedwell
Colleague at NetflixIver, England, United Kingdom
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Che Smith, Phd education
Phd, Biostatistics
B.S., Mathematics
Frequently asked questions about Che Smith, Phd
Quick answers generated from the profile data available on this page.
What company does Che Smith, Phd work for?
Che Smith, Phd works for Netflix.
What is Che Smith, Phd's role at Netflix?
Che Smith, Phd is listed as Dynamic Analytics Leader | Leading High Impact teams with Empathy | Distilling Complex Data into Strategic Insights to drive Meaningful Results at Netflix.
What is Che Smith, Phd's email address?
AeroLeads has found 1 work email signal at @davidson.edu for Che Smith, Phd at Netflix.
What is Che Smith, Phd's phone number?
AeroLeads has found 3 phone signal(s) with area code 678, 303 for Che Smith, Phd at Netflix.
Where is Che Smith, Phd based?
Che Smith, Phd is based in Los Angeles, California, United States while working with Netflix.
What companies has Che Smith, Phd worked for?
Che Smith, Phd has worked for Netflix, Davidson College, Insight Data Science, Advance Analytics Llc, and Fda.
Who are Che Smith, Phd's colleagues at Netflix?
Che Smith, Phd's colleagues at Netflix include Carlos Lebron, Justine Hananiya, Zohra Azim, John Bob, and Sofia Adduono.
How can I contact Che Smith, Phd?
You can use AeroLeads to view verified contact signals for Che Smith, Phd at Netflix, including work email, phone, and LinkedIn data when available.
What schools did Che Smith, Phd attend?
Che Smith, Phd holds Phd, Biostatistics from University Of North Carolina At Chapel Hill.
What skills is Che Smith, Phd known for?
Che Smith, Phd is listed with skills including Statistics, Biostatistics, Data Analysis, Epidemiology, Public Health, Research, Sas, and Spss.
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