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Project Description
Project Description
During the second semester, Fintech students are required to utilize the knowledge and analytical abilities acquired in the analysis of business datasets to identify potential issues within these organizations. Through this process, they will be able to recommend appropriate solutions to address these problems, ultimately leading to the improvement and growth of these businesses.
Students had two options for these business datasets either real datasets sourced from industry or simulated datasets from publicly available sources or to collaborate with analytics teams within organizations to gain hands-on experience through participation in small-scale analytics projects and the resolution of real business cases.
Fintech Projects 2023
Fintech Projects 2023
Segmentation & Clustering
Expanding The Customer's Spending In The Company's Most Used Segment, The Case Of FAWRY
Customer Analytics for the online retailer using Weighted k-means and RFM analysis
Segmentation of Point-of-Sale Merchants in the Electronic Payments Industry
Analyzing the Egyptian Company for Glass Industries - Company Sales for 2022
Customer Segmentation and Lifetime Value Prediction Using Machine Learning Approaches
The Expansion and Development of Fintech and e-payment companies.
Prediction Marketing Campaign Response Using Supervised Machine Learning
Merchants Profiling In E- Payment Company For Market Development In EGYPT
Corporate Bankruptcy Prediction
Fraud Detection
New Services For Epayment Companies
Other Business Analytics Projects
Predicting deposits subscriptions of bank marketing using machine learning
Designing a Recommendation System for Retailers Using Data Mining Approach
Commuting Safety Management System (CAMS) Safety Riding Training Performance Dashboard
Predicting Customer Satisfaction Using ML Classification Approaches
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