Ryan Hancock

Ryan Hancock Email and Phone Number

Data Scientist at Procter & Gamble @ Procter & Gamble
cincinnati, ohio, united states
Ryan Hancock's Location
Mason, Ohio, United States, United States
Ryan Hancock's Contact Details

Ryan Hancock personal email

n/a
About Ryan Hancock

Ryan Hancock is a Data Scientist at Procter & Gamble at Procter & Gamble. He possess expertise in programming languages, minitab statistical modeling software, microsoft office, microsoft word, teamwork and 4 more skills.

Ryan Hancock's Current Company Details
Procter & Gamble

Procter & Gamble

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Data Scientist at Procter & Gamble
cincinnati, ohio, united states
Website:
pg.com
Employees:
108237
Ryan Hancock Work Experience Details
  • Procter & Gamble
    Data Scientist, Supply Chain
    Procter & Gamble Oct 2021 - Present
    Cincinnati Metropolitan Area
    Developed code (python, SQL) and visualizations tools (Power BI, Databricks Workbook) to create machine learning models to drive efficiency improvements in manufacturing- Developed and scaled machine learning visualization tool for energy optimization in papermaking process. Collaborated in a team to deliver finalized tool capable of operation with minimal support.- Engaged in exploratory data analysis to create predictive machine learning algorithm for quality metric. Model has capability to fully automate testing and statistical control processes.
  • Procter & Gamble
    Business/Data Analyst In Information Technology
    Procter & Gamble Jan 2019 - Oct 2021
    Mason, Oh
    • Apply SQL and Python to implement statistical testing and machine learning (Decision Tree, Random Forest), discover and explain consumption and inventory trends within consumer product Market and lead decision making in promotional spending and inventory allocation. • Used Time Series Modeling to forecast upcoming consumption volumes and plan coupon placement and pricing. Translated analysis results into recommendations to multilevel stakeholders in product supply, consumer knowledge, client services and financial service business units• Engaged with stakeholders to define needs and then transformed data visuals and dashboards to enable decision making using Excel (Pivot Table, VLookup) and Power BI.
  • University Of Michigan
    Graduate Student Researcher
    University Of Michigan Aug 2017 - Jan 2019
    Ann Arbor
    Collaborated effectively with team to apply Multivariate Data Analysis to identify, predict, and model aggressive driving, creating prediction models related to a safe user experience• Sampled and organized specific traffic data from large database using Matlab and R; manipulated noisy data to produce clean, representative data sets • Presented models of aggressive driving to University of Michigan Traffic Research Institute indicating correlations between aggressive drivers
  • Ultra Electronics
    Industrial Engineer
    Ultra Electronics May 2018 - Dec 2018
    Ann Arbor, Mi
    • Applied statistical testing (paired t-test, correlation) and machine learning to enable quantitative decision making to improve product performance and streamline final testing methodology • Revised and created Standard Operating Procedures in collaboration with the production team, created process map, PFMEA, and Control Plan on highly technical manufacturing assembly area for ISO audit • Performed Gauge R&R tests, adjusted poor performing gauges, and created fixtures to control important quality metrics
  • Quest Global Services Pte. Ltd.
    Industrial Engineering Intern
    Quest Global Services Pte. Ltd. May 2017 - Aug 2017
    Lafayette, Indiana Area
    • Initiate internal and supply base activities related to Capacity Assessment and First Article Review studies to meet customers’ demands
  • Fca Fiat Chrysler Automobiles
    Industrial Engineering Intern
    Fca Fiat Chrysler Automobiles May 2016 - Aug 2016
    Chrysler Transmission Plant
    Saved $70,000 in reporting time: Elicited financial reporting requirements, documented business objectives, automated daily financial reports detailing expenditures of variable and fixed costs • Saved $100,000 annually: Identified micro stop tooling issue in cutting machine using Kaizan method and root cause analysis • 3M ergonomic analysis and Factory Information System validation of manufacturing process, performed multiple WCMAM autonomous maintenance projects
  • Purdue University
    Math 159 (Calculus) Ta
    Purdue University Aug 2015 - May 2016
    Grade assignments and assist students with understanding of homework assignments
  • Purdue International Center For Biometrics Research
    Data Analysis Research
    Purdue International Center For Biometrics Research Sep 2015 - Mar 2016
    Publication: The relationship between fingerprint skin characteristics and fingerprint image quality” Conference Presentation: 2016 International Carnahan Conference on Security Technology • Conducted statistical analysis of fingerprint characteristics to improve the technical design of the biometric scanners. Designed data requirements and best practices for data metrics and analysis strategies. Hypothesized that there would be no established correlation between specific skin characteristics and image quality, and to test this hypothesis, a “best-subsets” test was run with the associated factors as the x and the image quality as y.
  • Tsinghua University
    Study Abroad: Research Exchange
    Tsinghua University May 2015 - Jul 2015
    Beijing City, China
    Gained perspective of local culture in Beijing, traveled throughout China and conducted research activities at the Tsinghua University for summer engineering program.Self-taught data mining informatics to improve upon segmentation of protein images based upon density data, focusing on developing computational methods to predict and analyze protein structure/functionDeveloped improved image segmentation tool using MATLAB Communicated with an international partner and interdisciplinary professor (Industrial Engineering and Biology)
  • C-Span Video Archives
    Video Archives Intern
    C-Span Video Archives May 2014 - Aug 2014
    West Lafayette Indiana
    Created digital records for archive and retrieval of political videosIndexed video footage into content management systemAggregated metadata of political dialogue spanning 1980-2000
  • City Of Lafayette Government, Department Of Economic Development
    Business Development Intern
    City Of Lafayette Government, Department Of Economic Development May 2013 - Aug 2013
    Lafayette, Indiana
    Answered information requests, organized and digitized files, operated office equipmentAided project planner with redevelopment missionConducted surveys of downtown Lafayette community businesses

Ryan Hancock Skills

Programming Languages Minitab Statistical Modeling Software Microsoft Office Microsoft Word Teamwork Matlab Statistics Pivot Tables Powerpivot

Ryan Hancock Education Details

Frequently Asked Questions about Ryan Hancock

What company does Ryan Hancock work for?

Ryan Hancock works for Procter & Gamble

What is Ryan Hancock's role at the current company?

Ryan Hancock's current role is Data Scientist at Procter & Gamble.

What is Ryan Hancock's email address?

Ryan Hancock's email address is ryan.h@pg.com

What schools did Ryan Hancock attend?

Ryan Hancock attended Coursera, University Of Michigan, Purdue University.

What skills is Ryan Hancock known for?

Ryan Hancock has skills like Programming Languages, Minitab Statistical Modeling Software, Microsoft Office, Microsoft Word, Teamwork, Matlab, Statistics, Pivot Tables, Powerpivot.

Who are Ryan Hancock's colleagues?

Ryan Hancock's colleagues are Santiago Torrecillas, Seun Balogun, José Luis Oblea, Luigi Useli, Rosanne Repinski, Cirilene Fortuna, Jeetendra Sankhalkar.

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