Mansoor Nabawi

Cross Domain Computing Solutions department. - Solved 2.5D Vehicle Detection with L-shape Polygon with two different approaches. - Created a 2.5D dataset from 3D KITTI dataset. - Proposed two new metrics for the 2.5D vehicle detection.

− Data Preprocessing, Data quality check and Feature Engineering. − Performing various kinds of analysis on clients’ data. − Improving Churn prediction by 20% using Ensembles, boosting, and stacking techniques and finding Churn reasons using segmentation and customer journey. − Performing Seasonality Detection and finding months the clients have seasonal effects instead of churning. − Proposing new ideas on solving problems. Active participation in the meetings

− Helping with class organization and answering student’s question regarding the class materials. − Reading scientific paper and trying to implement them.

− As the co-founder of the digital marketing startup RetinaCorps I was responsible for managing the team of six employees. − Helping employees to gain the right knowledge and information to do their tasks.