MedStar Health

Lead the analytics community of practice and development of data fluency/engagement programs that enable associate upskilling & accelerate analytics ROI.

Enterprise Analytics Manager – Data Fluency & Lead of Community of Practice

Lead the establishment of an enterprise data fluency program, implemented core initiatives & managed the analytics community of practice.

Data Fluency Program Manager

Data Careers Summit

The Data Careers Summit helps individuals break into and move up in the data field. It's held twice per year, and you can learn more about it at DataCareersSummit.com

Co-Founder

-Launch sustainable data analytics programs for local organizations, supporting a range of functions including: sales, marketing, supply chain, operations and IoT
-SME to training platforms for data & strategy course content, and creator of 100+ data analytics and leadership tutorial videos
-Frequent speaker at industry events and podcast host/guest on topics related to data skills and strategy

Analytics Advisor, Consultant & Thought Leader

Wiiisdom

Technical Evangelist & Head of Internal Analytics

Product Manager (Wiiisdom Ops for Tableau)

The Master Lock Company

-Developed and maintained a roadmap of innovative, growth-oriented analytics projects across all functions.
-Launched modern analytics initiatives supporting marketing & digital marketing initiatives.
-Served in a leadership capacity on several initiatives intended to evangelize analytics and upskill data talent, including: analytics mentorship program, analytics council and company's quarterly "analyst day" (mentioned in WTA presentation).

Director, Strategy & Analytics

-Launched new selling tool leveraging diagnostic & predictive analytics; developed/drove processes that lead to business-case ROI being exceeded.
-Won "Game Changer" award for deployment of above project.
-Led data-driven presentations with top customers, leveraging data from customer-facing analytics program developed in prior role at company.

Director, Analytics

-Built and refined a predictive sales forecasting model with +/- 2% accuracy on a six-month basis.
-Launched a range of diagnostic analytics programs supporting company's sales, CRM, IoT, consulting, 8020 and daily huddle initiatives (selected for presentation at Tableau Conference 2019, link below).
-Launched a branded customer-facing analytics program (COMPASS) to deliver mutually beneficial insights to top customers.

Senior Manager, Business Analytics

-Launched an analytics program supporting the Commercial business unit and introduced/evangelized modern analytics tools (including data visualization) throughout company.
-Developed & implemented new forecasting processes that took business unit's forecast accuracy from worst to best in company (>200K unit impact)
-Created & led company's "Forecasting Best Practices Committee"

Manager, Business Analytics & Demand Planning

Harley-Davidson Motor Company

Developed new reporting and provided project management for system enhancements to support product development processes.

Data Analyst

Generac Power Systems

Provided data and financial analysis to channel VPs and sales leadership.

Sales Analyst & Consultant

Over my 12+ years in the data & analytics field, I've become a passionate promoter of the potential this field has to positively transform organizations and the careers of individuals.

In addition to my work as a practitioner in the field, I've frequently collaborated with others to help find ways to promote this potential, including the following:

I co-created and co-host the Data Careers Summit.  The mission of this event is to help individuals learn how to break into and move up in the analytics field. 

I created and co-host the Data Ideas Podcast to shine light on great work being done in the field, and the individuals that do it.

I frequently speak at industry events, on podcasts, during live courses, etc.

If you'd like to get in touch, please send me a PM!

Dustin Schimek

Interos Inc

Co-led data transformation project for deployment of next generation machine learning and AI-powered automated supply chain risk assessments. 

Created and deployed prototype of AI-driven and automated continuous monitoring of supply chain risk events. 

Led fast-action team to address Silicon Valley Bank crisis and indentify knock-on effects to supply chains.

Led team to build and develop pipeline for modeling supply chain risk scenarios.

Developed continuous monitoring tools to identify and alert companies about marcoeconomic financial risks across 100+ different international countries and territories.

Principal Data Scientist, Applied AI

Created data science model to identify financial supply chain risks for firms and countries that assesses finacial risk for a universe of 65 million firms using regression trees, dimension reduction, and latent factor modeling 

Refactored financial risk scoring model to incorporate 20 million new records by implementing structural equation modeling and by creating data pipeline to manage data wrangling process via PySpark, Databricks, and SQL 

Designed Pandas Spark API notebook to set team practices and standards for exploratory data analysis

Lead Data Scientist (Computational Social Science)

Created data science plan to update core company product for 2022 production goals by spearheading research effort into financial risk modeling and refactoring code to use Spark 

Led effort to create buy in for sales and CX teams by giving company-wide presentation on revamped statistical calculation process for risk scoring system

Data Scientist (Computational Social Science)

Correlation One

I train organizational leaders on data literacy and strategically upskilling their teams in the use of data analytics, data communication, and data storytelling. 

I develop content around building data and AI strategies in organizations.

Data and AI Strategist

DS4A Empowerment is a 5-month, high-intensity, part-time fellowship program teaching data skills through real world business cases and live, business provided or fellow researched datasets while solving AI challenges.

Delivered and helped curate custom curriculum for the Data Science for All team. Provides instruction to 300+ fellows for Tableau, statistical analysis, and data science.

Provides mentorship and support for 50+ fellows across 16 data science team projects.

Data Scientist Coach 

DS4A/data-engineering is a 5-month, high-intensity, part-time program teaching data engineering skills through real world business cases and the creation of live portfolio projects to demonstrate skills solving data engineering and data analytics challenges.

Guided ~300 fellows through application of data engineering concepts via a set of projects and real-world cases. These projects resulted in professional-level data products that included raw data collection, building ETL steps, developing fleshed-out data pipelines, implementation of cloud services (AWS and Redshift) and a front-end data applications.

Data Engineering Lead Instructor  

Taught multiple sessions of ~1500+ students in guest lectures on data science topics focused on data visualization, web scraping, logistic regression, and computational neural networks.

Data Science Guest Instructor --DS4A Colombia 

FoodChain ID

Built interlocking, drillable visualizations in Power BI for client to review 16 million documents related to international product compliance 

Created data pipeline in Power Query and PowerBI to channel data from noSQL Solr database into Power BI visualization and reduced load time for dashboard by 75%

Led CEO of company and senior VP cross-functional stakeholders to develop requirements, map out a product features, and identify critical insights

Developing machine learning predictive tool to detect anomalous recall events

Data Science Consultant

Bison Venture Partners

Private Investor

Data Science for All by Correlation One

Accepted into elite (<5% acceptance rate) fellowship program for emerging data scientists from historically excluded groups. 

Built a human capital data product with 16M records to identify the locations of high-quality, diverse tech talent. Python packages used: pandas, numpy, matplotlib, seaborn, json. Used Google Cloud Computing tools to manage ETL of large data. 

Conducted statistical modeling with correlation analysis, chi-squared tests, and linear regression to analyze the relationship between race, education, and tech roles.

Built interactive visualizations in a Tableau dashboard.

Data Science Fellow -- Honors Graduate 

Mittera Group

Revamped SQL workflow process to reduce throughput time from 10 days to 5 for our lead data product

Developed market intelligence toolkit that increased one client’s marketing spend with company by ~20% and another client by 25%

Led project to build, maintain, and clean a data repository of ~10M customer records

Led lookalike analysis project with propensity score matching that landed $5M annual digital marketing spend from a car OEM client

Updated documentation system that enabled the collection of an additional $3,000/month in untracked revenues from a client

Lead Data Analyst

Global Atlantic Financial Group

Built interlocking Tableau dashboards to track client data for customer experience, risk, and service level agreements 

Led data validation process on customer experience data 

Drove requirements gathering with VPs of risk and customer experience 

Developed SAS code and data mapping procedure to build data repository

Senior Data Analyst

Meidh

Senior Data Specialist

Santa Fe Public Schools

Created tech-focused financial planning curriculum for 130 youth. 

Collaborated with local employers and financial students to create programming and manage an instruction team. 

Led pilot program to improve quantitative skills of 25 at-risk youth

Mathematics Instructor

Faculty of Business, The Hong Kong Polytechnic University

Assistant Professor

Lead Computational Social Scientist @ Interos.ai | Award-Winning Data Expert @ Correlation One | Data Scientist | Data Engineer | Data Literacy | AI/ML | Python | SQL | R | Community Organizer

📈📉📊 How do you think about yourself? 
I am as a unique kind of data scientist called a computational social scientist. 
That term means that I use statistical and computer-based techniques to model complex social phenomena. 

🧩️What kind of work do you do? 🧩️

I have three big projects I work on right now. 
1. I am a computational social scientist working with a supply chain analytics company acting to unsnarl logistics issues. 
2. I am a data coach and instructor for an organization helping people from historically excluded backgrounds jump start their data careers.
3. I am a consultant working on regtech solutions that benefit consumer health and safety.  

📣What are some cool things you have done recently?📣

+ had research I developed presented in Bloomberg news
+ completed a data science training program at MIT
+ reviewed grants for the National Science Foundation 


🖥How do I learn more about your work and projects?🖥

Check out my capstone project here: https://bit.ly/hcmaps2022
My dashboard for that project here: https://tabsoft.co/3wpJvCC
And my data science writing here:  https://bit.ly/compsocsci

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Dustin Schimek

Scott DeGeest, MBA PhD

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