Adrian Sanchez Email & Phone Number

Tysons Corner, Virginia, United States

Tysons Corner, Virginia, United States

Washington D.C. Metro Area

•Manage all aspects of the career management system (Handshake) and IT systems used by 40 full time staff in the Career Center, Kogod Office of Career Engagement, and the School of International Service•Developed ETL processes between ERP systems and AU's career management platform (Handshake)•Represent Career Center’s data interests as a member of AU’s Business Intelligence – Data Stewards Committee, a cross-functional group intimately familiar with enterprise-wide data use, source, and definitions•Researched and evaluated Collibra, SAS, and Infogix as possible data governance tools at AU •Chair the AU Handshake Committee, an internal committee responsible for decisions on implementing new features and online processes in Handshake, AU’s career services management system•In 2018 led the implementation of Handshake at AU. Served as Chair of the Steering Committee and worked with cross-functional groups to create workflows and processes so Handshake could meet the business needs of 3 departments on campus and remain compliant with IT security standards•Oversaw clean up and migration of 14 years’ worth of data from Symplicity CSM to Handshake•Developed policies and standard operating procedures for account management in Symplicity CSM•Provided annual and ad hoc reports analyzing complex and confidential data regarding employers, jobs, students and department activities. Reports used by management and university administration to assess programs/services •Presented on the Career Center’s use of technology at national conferences

• Represented staff interests at the Board of Trustees meetings, the Benefits Advisory Committee, and the University Budget Planning Committee, communicated items from cabinet level administration to assigned departments • Oversaw all five SC committee chairs • Developed annual SC goals based on annual survey sent to over 2,000 staff members • Authorized the collection, distribution, and expenditure of SC funds in the range of $10,000 annually

Washington D.C. Metro Area

• Wrote VBA script for automated import of data from AU systems to the Center’s career management system • Developed policies and procedures for account management in the Career Center’s career management system • Provided annual and ad hoc reports analyzing complex and confidential data regarding employers, jobs, students and department activities. Reports used by management and university administration to assess programs/services

Student in UVA's M.S. Business Analytics program at Darden School of Business and McIntire School of Commerce. Completed projects include:Medwatch 2.0: A Deep Learning Architecture to Detect Severity of Symptoms• Developed a NLP machine learning model to rate the severity of user-provided text (binary classification)• Built a deep learning model architecture using several Convolutional Neural Networks (CNNs) fused with Dense Layer Neural Networks. Model accurately predicted 92% of severe cases.Hilton Retention Management: Improving Team Member Experience through Machine Learning• Applied descriptive statistics, path analysis, and K-means clustering to dataset of employee survey responses• Developed a predictive classification model to predict employee retention across clusters; evaluated model using precision, recall, and AUC (Area Under the ROC Curve) • Presented recommended intervention strategies to Hilton Senior Leadership to reduce likelihood of employee turnover across clustersOptimizing an Expansion of Reali Loans. Using Predictive Analytics for Risk Mitigation • Conducted conjoint analysis using Sawtooth and Amazon MTurk to assess mortgage consumer preferences• Developed a regression tree-based predictive model to forecast mortgage defaults across 30 million borrowers using Fannie Mae’s Single-Family Loan Performance Data• Presented to student peers and Darden faculty on ways to expand Reali's product offerings based on conjoint analysis and predictive model resultsInvestment Analysis • Conducted user experience testing through UserTesting to understand how consumer-centric factors may affect target company’s business performance• Analyzed social media and influencer marketing metrics through Brandwatch and Klear for target company• Built five-year pro-forma forecast using publicly available financial statements • Estimated the value of an investment in our target company using a discounted cash flow valuation

Washington D.C. Metro Area

• Researched cyber governance policies of publicly traded companies through filed 10-K reports • Led small group of research assistants to develop data repository on publicly traded companies breached between 2005-2015 • Provided support to faculty members researching financial effects of data breaches

Washington D.C. Metro Area

• Delivered technical support services to all staff members in the office or remotely • Created an inventory spreadsheet detailing all office technology, its location, and warranty expiration in relation to its respective depreciation schedule • Refined Local Group Policy on IT Technician Server to automatically process emails into work orders

Washington D.C. Metro Area

• Answered constituents’ questions and concerns via e-mail, fax, telephone calls, or postal mail • Gave tours of the U.S. Capitol to visiting constituents • Provided research assistance to legislative aides on topics from Ways and Means Committee

Master Of Science - Ms, Business Analytics, Gpa: 3.87

2019 McIntire Business Analytics Scholarship Recipient Beta Gamma Sigma

Bachelor'S Degree, Political Science: Policy