data scientist, partner
Aaron Wolf is a partner at Datascope Analytics, a data-driven consulting and design company in Chicago. At Datascope Analytics, Aaron leverages his background in operations and business to ensure complex analyses are valuable and communicable. When not helping clients like Daegis, Thomson Reuters, or the City of Chicago solve innovative problems, he enjoys playing/analyzing/watching sports, teaching D3 courses to Chicago data visualization enthusiasts, and dodging Chicago rush hour traffic on his bike. Prior to joining Datascope, Aaron was an Associate in J.P. Morgan’s Investment Banking practice in Chicago and served as a United States Navy Lieutenant aboard fast-attack nuclear submarines. Aaron received a B.S.E. in Computer Engineering and an MBA from the University of Michigan.
Motorola Mobility Follows the Data to Engineer Better Smartphones
A custom built tool aggregates and algorithmically analyzes smartphone customer feedback data from a broad spectrum of internet sources
Building the ultimate NBA team
Bench GM'ng for nerds
Who's the most underpaid player in the NBA?
Determining the market rate of win shares
So you're tellin' me there's a chance...
More support for not letting a data scientist into your fantasy basketball pool
Using data to dominate the NCAA tourney
Never let a data scientist join your fantasy league
Finding the ideal spot in Southeast Michigan
Visualizing potential locations for the Data Science Southeast Michigan Meetup
How might we...
human-centered design techniques from an ideation workshop
Lunch? Our food truck tracker goes mobile and infiltrates U Chicago
Mobile food on mobile phones, now in Hyde Park as well as the loop.
The Cheating Commish
If you ain't cheatin', you ain't tryin'
Holiday nerdery! Snowflakes!
Watch snowflakes unfold before your eyes.
Thomson Reuters: Visualizing collaborations on academic reports
From sketch to mock-up to prototype to enterprise-quality solution, we do it all.
Thomson Reuters: Product reimagination for visual analytics
Brainstorming with all stakeholders improves the likelihood of developing useful dashboards.
Visualizing Kobe Bryant Vs. Jack Taylor
Which performance was more impressive?
Daegis: designing a more cost-efficient process for litigation
Reducing costs by 70-90% is only valuable when the solution is legally defensible and trustworthy.
Creative thinking and data science
Avoiding the last few decimal points
The analysis of Matt Millen
Ranking the best / worst drafting NFL managers
Most important skill playing the Olympic Club (U.S. Open)
Drive for show, putt for dough
The chance of a bust in the NFL draft
Grading out the GM's of the NFL
NFL Draft Value Chart Controversy
Redefining a $30bn industry
And it's that time of year again...
Datascope takes their first crack at predicting March Madness with Databall v1.0
about our culture
Building a data science team
A data science team is more than a room full of nerds
Getting Things Done the Datascope Way
The Post-it Note Method
Caricature of a small tech org chart
We're not big, but we are certainly collaborative!
Pair programming: when are two better than one?
(a) Developing reusable software. (b) During crunch-time. (c) Training colleagues. (d) All of the above.
The marketplace is rapidly changing in response to the flood of big data. Learn about the new market for analytics.
Many organizations do not have the internal talent to tap big data. Learn about data-driven consulting and design.