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2022 Women in Data Science @ Penn
2021 Women in Data Science @ Penn
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Nicolle Lee, Vicky Plestis, and Kayla Weismuller (WG’22) share the Wharton resources that furthered their passion for real estate, social impact, and diversity & inclusion.
Paving the Way for More Women in Real Estate
“If you are a smart individual who can detect patterns and opportunities, you don’t need to come from a pedigree to found a startup,” Wharton alum and Steignet founder, A.J. Steigman said.
How a Chess Champion and Wharton Grad Excels at Entrepreneurship
“Despite what school often teaches us, being successful, or in this case, winning Survivor, doesn’t come from being the best, most likable, or the most athletic.”
Kellee Kim, WG’19 Takes on the Challenges of Survivor
Mark Spector, WG’15, uses knowledge and tools from Wharton to negotiate real estate deals and lead development projects for the Port Authority of New York and New Jersey.
How Wharton’s EMBA Program Impacted this Graduate’s Career at the Intersection of Real Estate and Government
Vibhav Jagwani, W’20, E’20, shares his summer internship experience at a startup and how the M&T curriculum helped him prepare.
What This Undergrad Learned About Mortgage Tech While Interning for a Blockchain Startup
After transitioning from consulting to real estate following graduation, Jeff Hedges, WG’15, found that his MBA training and credential helped him move quickly into the C-suite.
Why This CFO Calls Wharton’s EMBA Program a ‘Powerful Credential’
Integrating business knowledge with a liberal arts mindset is helping Dan Ping He, WG’19, towards her goal of enhancing community development through real estate.
This Real Estate MBA Wants to Create Better Affordable Housing
AKT Investments CEO and President Chrysanthy (Chrysa) Tsakopoulos Demos, WG’18, earned an MBA and gained skills, confidence, and credibility to lead a multi-generational family business that has helped shape the Sacramento region.
Five Ways that Wharton’s EMBA Program Helped this Alumna Take the Reins of Her Family’s Business
WSII Fellow, Jonathan Wood, shares four lessons for urban planners based on his research with Wharton Statistics professors.
How to Use Big Data to Make Cities Safer
Steignet is an arbitrage platform for the residential real estate market. Using machine learning and proprietary decision engines, Steignet will scan millions of housing units to identify real-time mispricings to generate superior alpha for our real estate investors.
Steignet: A Tactical “Bloomberg Terminal” for the Residential Real Estate Market
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