Data Analytics Networking Night 2019

By Alyssa Schafer

For the first time since moving into renovated Pomerene Hall in 2018, TDAI collaborated with the Big Data & Analytics Association and the Columbus Collaboratory to host an evening full of connection and innovation. The event took place on October 8th in Pomerene’s newly remodeled gym, now the TDAI Ideation Zone. Over 70 local corporate data analytics employees came to network with students eager to learn more about their work and experiences. Companies in attendance included Cardinal Health, IGS Energy, Huntington Bank, OhioHealth, Nationwide Insurance, and more.

A key goal of the evening was to expose students studying analytics at The Ohio State University to local data analytics professionals. This was an opportunity to connect the broad analytics community within Columbus and Ohio State’s bright analytics students before they enter the working field.

“Being able to connect with practitioners in any industry allows one to see trends in technology and methodology that might not be apparent while working towards a degree in an academic environment,” says TDAI Technology Solutions Engineer Steve Chang.

Professionals in attendance were also given a chance to learn more about ways to engage with TDAI through collaborative research and workforce development. This area of research and collaboration is part of a $120M investment by Ohio State designed to foster student success, support faculty, and advance impactful research in categories that fall under the data analytics realm. These same professionals were also able to organically form mentor/mentee relationships with students.

A noteworthy moment of the evening was the recognition of local firms with the 1st Annual Excellence in Advanced Analytics Awards. These awards were given to three firms in the Central Ohio area whose analytics projects have had a positive impact on their organizations. Ben Blanquera, TechLife Columbus organizer and member of the Columbus Collaboratory notes, “We aspire that this award and event will help raise the visibility and grow the maturity of the Central Ohio analytics community by recognizing analytics success stories.”

Blanquera believes that events such as this one represents “a great opportunity to tap into the talent at Ohio State.”

As a result of students networking with professionals in attendance, TDAI is hopeful that these students can further realize the importance of broadening their understanding of the analytics field and possible career opportunities. TDAI plans to continue this event throughout the years in hopes of facilitating the career search for bright young students at Ohio State and sparking more conversation about the data analytics field.

Want to collaborate with TDAI? Click here to connect with us and learn more!

 

Alyssa Schafer is a student employee of TDAI 

Share this page
Suggested Articles
Ohio State project aims to mitigate food safety risks in Ethiopia

Global health project supported by $3.39 million grant Foodborne illnesses are critical global health problems, resulting in an estimated 600 million illnesses annually. Low- and middle-income countries bear most of...

User-generated data is a social science goldmine

As increasing amounts of digital data are produced and stored online it is important to remember that humans produce much of that data. In an era in which people express...

TDAI co-leading first NSF workshop on translational data science

TDAI and the University of Chicago’s Center for Data Intensive Science are co-chairing an NSF-sponsored Translational Data Science Workshop June 26-27 in Chicago. The invitation-only event is designed to build...

Data Analytics Month @ Ohio State starts Oct. 26

Ohio State is hosting its first annual Data Analytics Month @ Ohio State. The campus-wide series of workshops, lectures, student challenges, and events focuses on data analytics and decision science, kicking off...

New data analytics model predicts international conflict

TDA affiliate Skyler Cranmer is lead author of a new study that develops a new way to predict levels of international conflict that is more accurate than any previous model. More