Mayet Gebereyohannes

• Client satisfaction: Used random forest regressor to predict satisfaction level. • Low Hanging fruit: Used DBSCAN & decision tree to cluster and identify high-yield opportunities

•Fulfilled all analyst duties for a high-end Real estate standard management firm •Collaborated with team members to optimize CRM database. Also, created and updated reports and client records in CRM Dynamics database •Used Tableau to create real-time ROI graphs that helped the teams focus on high-yield opportunities •Predict company client pipeline with 35% more accuracy than historical average. Achieved 10% better returns vs historical performance

• Engaged clients directly to troubleshoot issues and resolve their dissatisfaction • Led staff training in new processes and created strategies to help improve client engagement process. • Decreased wasted phone and email touch point time by 30% and Increase customer growth and satisfaction by 10% • Organized seminars and training for clients and held Q&A during sessions

• Analyzed and created dimensional data modeling to meet OLAP needs. • Completed mapping, desk research and literature review, survey and, in-depth qual-itative interviewing (phone and face-to-face) reporting and presentations. • Data acquisition and extraction, data analysis (quantitative and qualitative) • Provided meaningful insight that provided 40% more possible funder for projects

• Enhanced the visibility/reputation of the organization across the media and public • Collaborated with researchers to identify international cooperation strategies

Made phone calls to fundraise for institutes & increased individual’s contributions

Marketing, Wirtschaft