John Hogue Email & Phone Number

Minneapolis, MN, US

Current/Recent Clients & Projects: - Private, Large Manufacturing Company: Data Enablement & Capabilities Advisory - Private, Large Manufacturing Company: Data Executive Coaching - Private, Small Manufacturing Company: AI & Data Executive Board Education- Non Profit, Mid Sized Youth Mentorship Org: Data Maturity & Literacy Assessment, Sr Leader.

• Build an organization for 850+ aspiring and practicing data scientists to apply their knowledge and exchange industry knowledge.
• Organize and orchestrate data science competitions for 200+ students across the country.
• Showcase talent on a level playing field for participants from 22 institutions across the Midwest.
• Work with C-Level non-profit leaders and government organizations to spread awareness.
• Lead hands-on training sessions with actual code, accurate data, and real problems.
• Partner with other existing analytics organizations (MinneAnalytics, MUDAC, StatCom, etc.)

St. Paul, Minnesota, US

• Design and teach a new course "Data Stores & Feature Design" for Fall 2023
• Dive into specialized data formats, such as time series, geospatial data, semi-structured and the data management systems and considerations required to load and extract information from them.
• Leverage both creativity and context to design highly impactful features for machine learning.
• Compare and contrast the conceptual designs of relational, data warehouse, NoSQL, and other data systems.
• Expose students to high-level concepts, such as data governance, data lineage, and metadata management.

Minneapolis, Minnesota, US

• Lead a technical organization of 17 members that work on the core of the flagship measurement product, which accounts for more than 7% of company revenue.
• Delivered structured and scaled data science and MLOps to enable hitting product growth milestones; this resulted in 60% growth in client instances.
• Pushed for Professional Services Data Science team to enable strategic consulting to drive Ovative to learn faster in tandem with our clients on unsolved marketing measurement problems facing the industry.
• Structured data science into four functional teams to accommodate internal demand while keeping it a cohesive data science organization. This led to142% team growth with 0% attrition over the course of 11 months.
• Participate in 3-4 direct external client engagements a year ranging from 200-500k; these engagements allow Ovative to develop expertise, perspective and explore potential productization of results.
• Collaborate with senior leadership from Business Development, Client Services, Strategic Consulting, Data Engineering, and more to drive critical business objectives end to end.

Minneapolis, Minnesota, US

• Served as a technical leader for 16 data scientists that produced four enterprise products across several internal departments. Users of these solutions included Marketing, Pricing, Supply chain, and more.
• Worked alongside a global team of 20-26 data scientists to drive 14 different projects for various internal users within General Mills. This work resulted in delivering $118 million in value for the company.
• Collaborated with senior stakeholders (VP, Director, Senior Director) to gather requirements, monitor project progress, and roadmap for future improvements.
• Evaluated and implemented best practices, standards, and project lifecycles for short-term projects (6-12 months) and evergreen solutions.
• Ran enterprise analytic leader forum, bringing together 10+ diverse functions to discuss how data can be leveraged and the roadmap for future capabilities.
• Plan migrations of 25+ analytic workflows to the cloud, cataloging dependencies and needed enhancements.

Minneapolis, Minnesota, US

• Planned and allocated proper resources for four evergreen enterprise projects set to deliver 100+ of million in value. This involved gathering requirements, developing the project roadmap, and determining staffing.
• Shifted data science team to operate within product teams alongside a central data science team to solve larger scope challenges. This allowed the organization to improve in cross-team training as well
• Managing a data science team of 6-8 employees. Responsibilities include hiring, employee development, and conducting performance reviews.
• Provide enterprise perspective and expertise on AI to all cross-functional peers and leaders

Minneapolis, Minnesota, US

• Mentored six different coworkers on data science techniques, best practices, and company procedures.
• Drove the adoption of agile methodology and project management tools to improve efficiency across the data science team.
• Implement version control standards, code standards, unit testing, and continuous integration

Minneapolis, Minnesota, US

• Assisted in creating vision, framework, and project prioritization for a shared service data science team.
• Evangelized data science to senior leaders by providing comprehensive analyses and recommending solutions to complex business problems using data from internal and external sources.
• Enrich existing data through various methods such as using APIs, leveraging 3rd party vendors, and building web scrapers.

Minneapolis, Minnesota, US

• Hired as the first data scientist within General Mills to build out best practices, determine use cases, and construct cross-functional partnerships with stakeholders.
• Applied machine learning practices to classify data into marketing segments and detect anomalies. Conclusions from this data resulted in optimizing efficiency within various General Mills groups.
• Detangled and transformed the wide varieties and veracity of CPG data into actionable insights.

Minneapolis, MN, US

• Identify and present potential solutions to critical marketing data architecture
• Liaison departments to provide customer and prospect data for marketing campaigns
• Review with IT architects that all marketing infrastructure specifications and requirements are met
• Standardize and optimize reoccurring processes to provide efficient and accurate information
• Plan around anticipated regulation and guidance changes for marketing data privacy

Eden Prairie, MN, US

• Provide deep analytics around pricing initiatives using several different DBMS platforms
• Create dynamic competitive indexing, strategic pricing insights for executive leadership
• Technical teaching and instruction

San Francisco, CA, US

• Built and documented robust and dynamic analytic tools using Excel, VBA, and databases
• Created and automated easy to maintain, high precision, custom reports
• Developed technical user guides for in-house investment tools

San Francisco, California, US

• Deployed new fee schedule for Investment Management and Trust accounts
• Described book of business impact to 135 investment professionals
• Communicated software developers to describe project usage needs and technical issues
• Investigated discrepancies on a database of over 2,000 accounts

Minneapolis, MN, US

• Analyzed and forecast fixed income security losses using Excel and pivot tables
• Researched changing market legislation to anticipate potential impact to current and potential holdings
• Independently created a security cash flow analysis model within Excel

Shenzhen, Guangdong, CN

• Strengthened ability to analyze situations and solve problems, all while using Mandarin Chinese

Master'S Degree, Software Engineering

Bachelor Of Science, Mathematics, Economics, Chinese Language Minor