Ryan Hancock Email & Phone Number

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.

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.

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

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

Lafayette, Indiana Area

• Initiate internal and supply base activities related to Capacity Assessment and First Article Review studies to meet customers’ demands

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

Grade assignments and assist students with understanding of homework assignments

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.

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)

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

Lafayette, Indiana

Answered information requests, organized and digitized files, operated office equipmentAided project planner with redevelopment missionConducted surveys of downtown Lafayette community businesses

Certificate In Deep Learning, Machine Learning, A

Master Of Science - Ms, Industrial Engineering

Bachelor Of Science In Industrial Engineering, Industrial Engineering

Activities and Societies: • Purdue Solar Car Racing Club • Purdue University Soy Innovation Competition3.87/4.0 GPA Graduate in 2017.