$120

Hourly Consulting Rate

Frank Mendoza

Independent Consultant

Industry Experience

Automotive

Computer Software/Engineering

Consumer Electronics

Consumer Goods

Consumer Services

Food/Beverages

Hospital/Health Care

Information Services

Information Technology/IT

Management Consulting

Wine/Spirits

+ 7 More

Location Supported

United States

Langauages Supported

English

Skills

  • Technical consultant
  • Project management
  • Data scientists
  • Business intelligence
  • Analytics
  • Big data
  • Artificial Intelligence
  • Machine Learning
  • CRM
  • +5 more

Product Specialization

  • Salesforce CRM
  • Microsoft Power BI
  • Tableau Software
  • IBM Cognos Analytics
  • Slack
  • Microsoft Teams
  • Zoom
  • +3 more

About

Frank Mendoza, is an award-winning, seasoned Analytics Leader with 20+ years of experience in leading cross-functional matrixed teams to attain world-class performance level in Advanced Analytics, Strategy & Innovation, and Customer Success.
He has held various senior positions at some of the largest and most influential companies in the world (i.e., Dell, 3M).

As CEO of Catalytics, he has been introducing emerging technologies such as Artificial Intelligence, Machine Learning, and Data Visualizations to Fortune 500 companies to help enable them to shift their culture to become more data-driven. Over the past five years, he worked alongside C-Suite executives to develop strategic analytics roadmaps, use cases, and the execution plans to generate a positive ROI. He has proven experience establishing scalable data programs, collaborating across multiple levels of the organization to gain consensus, and challenging conventional thinking to identify and improve productivity via ML/AI, Data Analytics, and Insights.

Frank holds a Bachelor of Science in Mechanical Engineering and a Master in Business Administration (MBA) from the University of Texas at Austin.

Top Project Highlights

Fortune 500 CPG Capital Investment in Analytics

Partner with Fortune 500 CPG company to institute program governance and capital plans for significant investment in Analytics capabilities

Solution:

  • Worked with CIO, IT VP and Sr. Director to develop an over-arching data strategy for enterprise analytics initiative and provided weekly status updates to Executive team and Steering Committee members (oral/written status updates)
  • Program managed four distinct workstreams focused on establishing data governance organization, building an Analytics Center of Excellence (CoE) and instituting advanced analytics infrastructure for future state reporting
  • Led various cross-functional areas and the associated budgets/forecasts to support Analytics initiative (Team size: ~20-30) - included centralized documentation for post-mortem analysis

 

Distilled Beverages - Improve at-home consumption visibility

Spirit Industry 3-Tier business model limits visibility to at-home consumption patterns; business unable to view trends with respect to the category and geographic patterns

Solution:

  • Developed partnership with consumer hardware Internet-of-Things (IoT) startup in the adult beverage industry
  • Mobile application instructs consumers on how to make perfect cocktails – captures detailed information on cocktail preparation, demographic user, and geographic location
  • Developed data visualization dashboards to provide internal teams visibility to consumption patterns previously unavailable through internal data sources

Distilled Beverages - Improve financial forecast models

Historically. financial forecast models solely leveraged internal data sources; this does not provide leaders with enough proactive visibility to industry shifts/trends.

Solution:

  • Identified macroeconomic indicators that demonstrated statistical correlation with historical performance
  • Developed Machine Learning algorithms to build forecasting models across geographic regions and spirit categories
  • Provided financial leadership with additional tools and methodology to determine corporate targets

Digital/ Social Media Company - Customer Health & Churn

Leading Social Media company (B2B Private Equity) lacked the visibility or methodology to identify at-risk enterprise customers

Solution:

  • Leverage Data Science and Advanced Analytics to identify the factors/attributes that lead to unhealthy/ at-risk Customers 
  • Use statistical analysis and various data visualization techniques to communicate trends and patterns that enable the executive team to make more data-driven decisions in regards to Customer Retention
  • Develop interactive dashboards (Power BI) for ad-hoc queries and deep-dive sessions conducted within Customer Vitals core team - proactively respond to at-risk customers

Employment

Founder & CEO, Catalytics, LLC

2015 - Present
  • Determine the best approaches to introduce emerging technologies like Artificial Intelligence, Machine Learning, and Advanced Analytics to help organizations shift their culture to become more data-driven. Responsible for the design, training, evaluation, and deployment of customer AI/ ML solutions.

    Independent Consulting Engagements include:

    • Collaborate with Fortune 500 Consumer Packaged Goods (CPG) Company in establishing program governance and capital plans for significant investment in analytics capabilities with annualized benefits of more than $16M.
    • Advanced Analytics capabilities within large alcohol beverage CPG Global Marketing Organization (financial Machine Learning Predictive Models, IoT real-time Analytics Dashboards, Programmatic Marketing).
    • Applied Data Science skills to uncover factors/attributes that lead to healthy/unhealthy customers to reduce customer churn and improve monthly recurring revenue.
    • Program manage workstream at nationwide cosmetic surgery provider to address client cancellations (developed machine learning algorithms to measure likeliness of cancellation and generated dynamic analytics dashboards)


    Career Highlight:

    • Developed Machine Learning solution that achieved 3rd Place in 2018 IBM Watson Build Competition in the Human Capital Management space to address employee retention.
    • Semi-finalist for Capital Factory AI $100K Challenge - Nov 2019

Director of Customer Success

2015 - 2015
  • Demonstrated expertise in handling complex and enterprise-level customer relationships.

    • Established customer service process and practices to enable growth and scale.
    • Rendered exceptional onboarding experience and enhanced existing customer relationships.
    • Developed customer success playbook providing templates and timelines which improved onboarding consistency and cycle time while enhancing new hire learning curve; as well as cohesive service with organization support that empowered limited resources for exceptional onboarding experience.
    • Created weekly customer dashboard with organization-wide visibility to customer health and product engagement across 100’s of accounts.
    • Determined top 15% strategic accounts based on multi-tiered indicators with an outreach program to reduce churn.

Business Unit Manager, Professional Services & Support Center of Excellence (CoE)

2013 - 2015
  • Spearheaded growth strategy regarding the recent acquisition in the Motor Vehicle Services and Support (MVSS) organization.

    • Directed more than 200 team members to provide hardware and software technical support within numerous motor vehicle markets.
    • Managed BPO and professional services team to drive long-term retention and profitability with new and existing contracts.
    • Measured professional services and support functions within MVSS to support the attainment of growth targets along with the challenges related to integrating acquisition into the company culture.
    • Initiated ITIL framework across services and support COE while developing an incident and problem management functionality enabling closed-loop feedback.
    • Restructured business process outsourcing (BPO) services along with the introduction of service account managers for governance and life cycle of contracts.


    Career Highlight:

    • Created profit and loss (P&L) views of existing services portfolio while identifying unprofitable contracts and negotiating terminations and exits, which led to annualized savings worth $10M.

Director, Strategy and Business Transformation

2010 - 2013
  • Spearheaded a team accountable for the M&A target integration with SMB business including program management, analytics, and business communications in Brazil, Canada, and the United States.

    • Rendered expert management to a cross-organizational team in segmenting small office and emerging business units with >one million accounts.
    • Supervised global sales integration strategy to track all Go-to-Market functional elements.
    • Performed updates regarding key integration to executive stakeholders.


    Career Highlights:

    • Successfully created M&A integration methodology, which received recognition as Best of Breed throughout the entire Dell organization.
    • Built new emerging business sales motion focusing on market-driven outbound campaigns with more than 20% year-over-year growth.
    • Obtained SMB FY12 Significant Achiever Award in 2012 and SMB General Manager and Vice President Award in 2011for excellent work performance.

Education

Executive Masters of Business Administration (MBA) - University of Texas at Austin
2004-2006

Bachelor of Science in Mechanical Engineering - University of Texas at Austin
1992-1997

Deep Learning Specialization by deeplearning.ai & Coursera
2018-2018

The Deep Learning Specialization is designed to prepare learners to participate in the development of cutting-edge AI technology, and to understand the capability, the challenges, and the consequences of the rise of deep learning. Through five interconnected courses, learners develop a profound knowledge of the hottest AI algorithms, mastering deep learning from its foundations (neural networks) to its industry applications (Computer Vision, Natural Language Processing, Speech Recognition, etc.).

Microsoft Professional Program in Data Science Certificate via edX
2017-2017

Certification

Deep Learning Specialization by deeplearning.ai & Coursera
2018-2018

The Deep Learning Specialization is designed to prepare learners to participate in the development of cutting-edge AI technology, and to understand the capability, the challenges, and the consequences of the rise of deep learning. Through five interconnected courses, learners develop a profound knowledge of the hottest AI algorithms, mastering deep learning from its foundations (neural networks) to its industry applications (Computer Vision, Natural Language Processing, Speech Recognition, etc.).

Microsoft Professional Program in Data Science Certificate via edX
2017-2017
IBM Watson Studio Essentials
2019-2019
Tackling the Challenges of Big Data Certificate
2015-2015

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