Educational Journey
Building knowledge through continuous learning
Pace University
Masters in Data Science
Master’s training in Data Science with an emphasis on advanced analytics, machine learning, and applied artificial intelligence. Completed rigorous coursework in statistical modeling, algorithms, databases, and scalable data systems, alongside hands-on projects involving real-world datasets. Conducted applied research and capstone work focused on predictive modeling, risk analysis, and decision-support systems, integrating multi-source data and emphasizing model validity, interpretability, and real-world impact. This program strengthened my ability to design, evaluate, and communicate data-driven solutions for technical and non-technical stakeholders.
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
Studied Business & Information Technology with a focus on information systems, applied statistics, and business analytics. Completed coursework and projects involving financial modeling, data analysis, and systems-based decision support. Participated in undergraduate research and analytical work related to data quality, reporting, and performance evaluation, applying business analysis techniques to real-world and development-oriented contexts. This training provided a strong foundation in analytical thinking, quantitative reasoning, and data-driven problem solving.