Jonathan Presley Mph Email & Phone Number
@pepsico.com
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Who is Jonathan Presley Mph? Overview
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Jonathan Presley Mph is listed as Senior Data Scientist at PepsiCo at PepsiCo, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at pepsico.com and a matched LinkedIn profile for Jonathan Presley Mph.
Jonathan Presley Mph previously worked as Senior Data Scientist at Pepsico and eCom Data Scientist at Pepsico. Jonathan Presley Mph holds Master Of Science - Ms, Computer Science from Georgia Institute Of Technology.
Email format at PepsiCo
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AeroLeads found 1 current-domain work email signal for Jonathan Presley Mph. Compare company email patterns before reaching out.
About Jonathan Presley Mph
Jonathan is an award winning public health professional with a certification in data science dedicated to data-based decision making and efficiency.With nine years of combined experience in scientific research, biotechnology, education, and healthcare, he has developed a variety of skills in research, policy, program development and implementation, monitoring and evaluation, capacity building, and analytics.Jonathan's curiosity and learn-by-doing approach - instilled by his alma mater, Cal Poly, San Luis Obispo - has pushed him to exercise his leadership and innovative spirit domestically and abroad, whether it be studying international health systems in Denmark, volunteering with clinical lab scientists in Bolivia, or developing new health programs in San Luis Obispo.He would like to share his passion for both the sciences and the arts, and he encourages your engagement!
Listed skills include Python, R, Sql, Data Analysis, and 38 others.
Jonathan Presley Mph's current company
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Jonathan Presley Mph work experience
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Ecom Data Scientist
Data Science Mentor
Current
Teaching Assistant
Data Science Fellow
Demonstrating skills using Python, R, and SQL for exploratory analysis, web scraping, machine learning, deep learning, and data engineering. Experienced using packages such as Numpy, Pandas, Matplotlib, Beautifulsoup, Scrapy, Selenium, tidyr, dplyr, R Shiny, ggplot2, sklearn, TensorFlow, and Keras. • Deployed Convolutional Neural Networks in TensorFlow's Keras to classify age, gender, and race in under 0.5 seconds with over 92% accuracy in partnership with MotionFlow, a smart AIoT ad company.• Implemented multiple models to predict home sales prices based on dozens of characteristics utilizing feature engineering, linear regression with regularization, and tree-based approaches.•Scraped over 83,000 results from elite Irish dancing competitions from FeisResults.com using Scrapy with Python and identified new marketing opportunities for vendors and dance schools.•Visualized the ecological effects of going tiny through an R Shiny app with a variety of dynamic and interactive features including maps with hover text, customizable graphs, and word clouds.
Data Scientist
EPAM combines best-in-class software engineering with digital strategy and experience design, business consulting and technology innovation services.• Performed data acquisition, exploratory data analysis, and built machine learning models to support product development for a pharmaceutical company. • Mapped an API strategy, leveraging Adobe Analytics and Adobe Target data layer, for a personalized home page experience and utilized AWS cloud services to test out-of-the-box solutions for a recommendation system for a leading telecommunications company. • Used statistical techniques on Treejack study results for a prominent investment management company to make their internal website easier to navigate. • Deep analysis, including NLP techniques and regression, on an internal employer value proposition study and identified key attributes for employee satisfaction by geography, seniority, and job title.
Mph Practicum Experience Intern
Maternal, Child, and Adolescent Health: Conducted a meta-analysis of relative risks for infant sleep and synthesized data from national and international safe sleep recommendations to inform a local policy statement.
Health Educator & Program Manager
Access Support Network provides education, testing, and linkage-to-care services for individuals with Hepatitis C (HCV) and/or HIV.• Managed digital assets, client relationships, and education for project initiatives.• Founded and managed 10 volunteers for the PrEP Advocacy Project, directing research, outreach, and PrEP navigation services in San Luis Obispo County.• Assisted in the collection, design, and management of case-management data of a $6M HCV connection-to-care demonstration grant from the California Department of Public Health.• Leveraged professional networks to broaden educational and testing capacities.• Winner of Cal Poly’s Outstanding Community Partner and Collaboration Award.
Chemistry And Physics Teacher
• Designed and implemented student-centered lesson plans in alignment with the Next Generation Science Standards (NGSS) for over 200 students.• Conducted, analyzed, and presented a school-wide LGBT community assessment for the Equity Team.• Participated in writing district assessments and the five-year implementation plan for the district's k-12 NGSS curriculum adoption.• Coached the Junior Varsity II girls volleyball team.
Laboratory Assistant - Dna/Rna & Proteins Lab
• Manufactured over $1.5M worth of RNA, DNA, and protein products, such as oligonucleotide primers, primarily sold to research institutions.• Conducted quality control testing and inventory maintenance for said products.
Curation Team Intern
• Curated over 10,000 rows of data connecting single nucleotide polymorphism gene mutations and diseases from academic journals into Microsoft Access.
Colleagues at PepsiCo
Other employees you can reach at pepsico.com. View company contacts →
Rajeshwari Purohit
Colleague at PepsicoAhmedabad, Gujarat, India
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CS
Casey Sloan
Colleague at PepsicoGreater Philadelphia, United States
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TB
Teagan Baacke
Colleague at PepsicoPhoenix, Arizona, United States
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GF
Gauthier Fregona
Colleague at PepsicoChampigneulles, Grand Est, France
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TC
Thinh Chau Van
Colleague at PepsicoVietnam, Viet Nam
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DV
Daniel Vartanian
Colleague at PepsicoLos Angeles Metropolitan Area, United States
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EG
Eva Glek
Colleague at PepsicoMoscow, Moscow City, Russia, Russian Federation
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JC
Jp Cavalcanti
Colleague at PepsicoSão Paulo, Brazil
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SB
Silvana Becerra
Colleague at PepsicoBogota, D.C., Capital District, Colombia
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EM
Evonda Monroe
Colleague at PepsicoMagnolia, Delaware, United States
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Jonathan Presley Mph education
Master Of Science - Ms, Computer Science
Master Of Public Health - Mph
Preliminary Single Subject Teaching Credential - Chemistry And General Science
Bs Biochemistry
Medical Practice And Policy
Frequently asked questions about Jonathan Presley Mph
Quick answers generated from the profile data available on this page.
What company does Jonathan Presley Mph work for?
Jonathan Presley Mph works for PepsiCo.
What is Jonathan Presley Mph's role at PepsiCo?
Jonathan Presley Mph is listed as Senior Data Scientist at PepsiCo at PepsiCo.
What is Jonathan Presley Mph's email address?
AeroLeads has found 1 work email signal at @pepsico.com for Jonathan Presley Mph at PepsiCo.
Where is Jonathan Presley Mph based?
Jonathan Presley Mph is based in San Francisco Bay Area, United States while working with PepsiCo.
What companies has Jonathan Presley Mph worked for?
Jonathan Presley Mph has worked for Pepsico, Nyc Data Science Academy, Epam Systems, San Luis Obispo County Public Health Department, and Access Support Network.
Who are Jonathan Presley Mph's colleagues at PepsiCo?
Jonathan Presley Mph's colleagues at PepsiCo include Rajeshwari Purohit, Casey Sloan, Teagan Baacke, Gauthier Fregona, and Thinh Chau Van.
How can I contact Jonathan Presley Mph?
You can use AeroLeads to view verified contact signals for Jonathan Presley Mph at PepsiCo, including work email, phone, and LinkedIn data when available.
What schools did Jonathan Presley Mph attend?
Jonathan Presley Mph holds Master Of Science - Ms, Computer Science from Georgia Institute Of Technology.
What skills is Jonathan Presley Mph known for?
Jonathan Presley Mph is listed with skills including Python, R, Sql, Data Analysis, Data Visualization, Machine Learning, Data Mining, and R Shiny.
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