Educational Journey
Building knowledge through continuous learning
Pace University
Masters in Data Science
A rigorous graduate program focusing on advanced data analytics, AI, and scalable computing systems.
Deep Learning
Neural networks, CNNs, RNNs, Transformers
Machine Learning
Supervised/unsupervised methods, model evaluation
Artificial Intelligence
Search, reasoning, CSPs, games
Introduction to Data Science
Data wrangling, statistics, and Python basics
Practical Data Science
End-to-end project lifecycle
Mathematical Foundation for Analytics
Linear algebra, probability, optimization
Algorithms for Data Science
Sorting, graph algorithms, dynamic programming
Scalable Database
NoSQL, distributed databases
Data Mining
Pattern discovery, association rules, clustering
Njala University
Bachelors Degree in Business & Information Technology
Support data quality initiatives aligned with global development indicators, applying business analysis techniques