Bachelor’s level technical/quantitative methods in business.

Master's level Data Driven Business Strategy & Analytics classes at KU's School of Business. https://business.ku.edu/people/eduardo-erazo

The board is an opportunity to collaborate on education-to-business pathways, including advisement on curricula, talent development or corporate partnerships. The responsibilities of the members will be to serve in an advisory capacity for KU Edwards Campus’s applied statistics & analytics program, which consist of core requirements and emphasis areas in statistics, analytics and data science.https://edwardscampus.ku.edu/leadership-appreciated/applied-stats

The "BotBoard" acts as a conduit for information from a cross section of industries and various sized organizations as they aim to generate better impact, results, and returns from their shared automation efforts. The BotBoard serves in an advisory capacity to IA management regarding the strategic positioning of its brand, marketing and communications, editorial content, and expert participation and contribution.

-Developed enterprise-wide strategies and roadmaps that include and combine multiple departments, teams, and corporate objectives.-Investigated and define technical and business requirements and needs assessments.-Assessed and quantify investments and resultant business cases/ROIs.-Defined insightful recommendations to drive corporate and analytic success for clients.-Wrote and oversaw development of RFPs and RFIs.-Specialized in large enterprise-wide data/IT infrastructure modernizations and BI migrations.-Designed and implemented enterprise change management strategy for use post-implementation/migration.-Assessed use cases and applications for AI and Machine Learning.-Developed enterprise-wide BI & analytic use cases in traditional and predictive analytics.-Defined data governance improvement strategies and plans.-Assessed current data landscapes and analytics maturity in all areas of the data lifecycle.-Managed budgets, contracts, internal and subcontractor teams.-Advised and informed decision-making executives on best path-forward initiatives.-Participated in sales activities with potential and existing clients.-Engaged as an AWS SME across the data lifecycle, especially AWS QuickSight and BI infrastructure.-Liaised closely with Amazon and even attained Amazon D2E certification for the entire firm.-Conducted multiple webinars, teaching sessions, and in-person conference presentations.

I lead the internal data org of approx. 50 FTEs and oversee enterprise data ops and assets, including: Data Engineering/ETL, BI Architecture, BI Engineering, Data Science, Machine Learning, and AI.

Directed the build of enterprise-wide data assets and standards ranging the entire data lifecycle.-Launched infrastructure project with 650% ROI while increasing data delivery speeds by 54% and reducing resource loads by 39% with $990,00/5yr cost avoidance.-Oversaw build of completely new data infrastructure with migration from legacy to cutting edge Azure Data Lake ecosystems.-Directed stabilization of Business Intelligence platform to clean up over 1200 data sets.-Reduced Data Ops cost by approx $600,000/yr.-Oversaw effort to assess data QA of over 8,000 variables.-Directed effort to increase predictive ability of predictive models by 21%.-Increased BI tool use by 1,000% while reducing costs.-Increased Tech Stack agility and capacity by leveraging open source tool usage.-Directed Meta-Data Management initiatives to support Enterprise-wide scale with CRISP-DM.-Designed mass-scale program to support "art-of-the-possible" Data Science and analytical capabilities.-Aided in development of psychometric assessments.

BI, Data Science, Machine Learning, AI, Data Analytics, Data Viz

Worked within the Information Management department for the largest Railroad Services in North America. Work includes Data Forecasting, Modeling, ETL development, Data Reporting, Data Visualization, Data Analytics, and developing testing & data QA scripts with the ultimate goal to optimize and gain maximum insights into our clients' data.

Concentrated mostly on Data Science, Big Data, and Statistical Analytics to inform, enable and recommend empirical strategic business decisions. Work also includes designing surveys and analyzing employee and consumer survey data.• Oversaw the requirements gathering and launch an enterprise-wide Big Data/Hadoop environment implementation at a large government client.• Database Manager for the re-architecture, build, integration, and launch of a new Global Point of Sale System involving over 1,200 hotels and resorts for one of the largest international hotel chains while training and managing a team of 5 data specialists• Performed 18+ quantitative and statistical analyses on marketing campaigns, capturing a total revenue of about $800 Million, for an international hospitality company.• Managed a 9 person data team tasked with restructuring and reorganizing a 1500+ employee government agency..• Performed Web Analytics and related reporting through Tableau for a large hotel chain and its luxury brand. • Oversaw the backend data manipulation/sanitation effort to implement an in-house designed Human Resources software solution for a government agency. • Projected workforce hiring trends for one, three and five years in the future for a newly formed government agency.• Analyzed web data and offered recommendations in order to increase user traffic and effectiveness for one of the US Government's largest recruiting and staffing websites.• Designed an analytical method for a non-profit organization to discover and capitalize on seasonal philanthropic trends by targeting temporo-geospatial donor/charity trends. • Lead the effort to re-design, administer, collect and analyze an internal Employee Satisfaction Survey (98% response rate) in order to personally recommend strategies to firm Partners and top level management.