/Portfolio

Professional Data Science Portfolio

Primary LanguageJupyter Notebook

Craig Fleischman (craigfleischman1@gmail.com)

Degrees:

⦁ Master in Data Science, UC Berkeley (completed)
⦁ MBA, Seattle University (completed)
⦁ BS, Computer Science/Business & Economics, University of Puget Sound (completed)

Professional Development & Recognition:

⦁ Microsoft Gold Star | Multi-Year Recipient
⦁ UnitedHealth Group Executive Leadership Program
⦁ Wharton Business School Executive Education
⦁ Microsoft Executive High Potential Program

Data Science Coursework by January 2020:

⦁ Python Programming for Data Science: Python, Numpy, Pandas
⦁ Research Design and Application
⦁ Statistics & Linear Regression: R, LaTeX
⦁ Data Engineering: SQL, Docker, YML, BigQuery, Spark, Kafka, RDB, NoSQL, ETL, GCP
⦁ Machine Learning: scilearn, un/Supervised, KNN, Naive Bayes
⦁ Deep Learning in the Cloud and at the Edge: Ensemble, Neural Networks, Regularization, IBM Cloud, Nvidia Jetson TX2
⦁ Data Visualization: Javascript, D3, HTML, CSS, Tableau

Goal:

I am seeking an operations/engineering/business position in a customer-obsessed company that combines my technical skills in data science with my business, strategy and communications skills. In short, I'm a software operations/project manager that understand the business and the technical details and how to bring it altogether to blow customers away. I really enjoy the process, the prioritization of working in complex technologies, being a change-agent, and partnering with customers to solve their most challenging problems in a team environment.

Relevant Experience Recap:

⦁ 2 years as Chief Operating Officer of AI/Machine Learning autonomous bot startup where I designed the GUI myself, created GTM, sku and pricing strategy, and implemented key CI/CD pipeline components.
⦁ 2 years as Vice President, IT UnitedHealth Group (team size=250) where I reshaped private cloud (VMWare) strategy and created the public cloud (AWS & Azure) strategy. Lead next generation IT Technologies including 3rd party relationships and drove the next generation operations across all environments.
⦁ 5 years consulting, advising, and investing in startups (Telecommunications, BigData, Sportswear, Collaboration).
⦁ 3 years as Software Engineering Director, Cloud & Enterprise at Microsoft (team size=1,350) where I lead development of Enterprise, Hardware, Services, and Security Software. Oversaw in-market, in-process portfolios and drove shift to DevOps model. Directly responsible for Service Engineers, Quality Engineers, Program Management, and Engineering Tools Team.
⦁ 6 years as Software Engineering Director, Windows at Microsoft (team size=650) where I led Windows internal engineering, including build system, pre-check-in quality analysis systems, internal tools and systems for release, automation systems, and 24x7 global Operations (network designs, monitoring, ticketing, break/fix, tool development).
⦁ 6 years as Software Engineering Director, Office at Microsoft (team size=100) where I lead the release of the product and services. This included the facilitation for Office Directors and Quality Directors and driving the weekly executive meetings.

Note: some files in the repository are in github and some are linked to gdrive. Github has size restrictions.