•Analyze residential properties based on cash on cash returns, leveraged returns, and cap rates, investors in deals consistently make >10% returns on rental properties and >25% returns on rehab projects. •Assembled a network of 125+ nationwide investors, built a disposition channel to send out listings to buyers and routinely sell investments in first week of offering because of buyer pool and quality returns. •Make 5+ offers per week, learned to negotiate with both buyers and sellers on price and terms of contracts, average deal was put under contract for a $7,500 discount from market value.

•Transitioned a long-term rental into an AirBnB and improved revenue by 90% from $800/month to an average of $1,500/month and consistently rank in the top 90th percentile for revenue in the local market. •Manage the operations of the unit by communicating with guests, hiring and running the cleaning crew, tracking and ordering inventory, setting nightly rates, and hiring contractors.•Analyze market demand and adjust prices for specific weekends to maximize revenue and minimize turnover.

•Interacted with real estate professionals to better understand how they became successful and better understand the innerworkings of the commercial real estate industry. •Competed in case competitions and presented work detailing analysis, acquisitions, and stabilization in each case. •Assisted in the acquisition of a $150,000 cash flowing property by calculating ROI, cash on cash returns, estimating rents, meeting with agents, and other steps all learned within this club.

• Expanded a CRM system by using RealNex software to build potential client folders which include contact information and contact history between Cornerstone and decision makers at medical real estate companies.• Communicated with supervisors at Cornerstone on a biweekly basis to discuss possible improvements for the new CRM and to ensure that data was being entered in a manner that aided their business goals.• Researched new markets and built lists of hospitals and healthcare facilities that were in the region, added these lists to the CRM so they could be easily accessed by decision makers.

•Developed an in-depth data base that would track retail properties in the Midwest Region, built a comprehensive Excel sheet that would convey market trends and market averages to analysis team. •Added 100+ new properties to the database each week and tracked properties based on tenant, price per square foot, lease length, type of lease, and other lease terms, allowed analyst the ability to sort by any of these criteria and location. •Provided decision makers with a 10,000-foot view of each market by tracking recently sold properties, properties currently on the market, and new construction about to go online. •Tracked listing broker of each new property so analyst could easily reach out with questions, also tracked developers of new construction so analyst team could build a relationship and know major players in each new market.