Portfolio List

This course expanded my understanding of advanced database concepts, focusing on optimization, indexing, and data integrity across multi-user environments. I designed and implemented relational databases using MySQL Workbench, emphasizing referential integrity, normalization, and security best practices.

Through applied projects, I explored transaction management, concurrency control, and performance tuning — essential skills for maintaining efficiency and accuracy in enterprise-level database systems.

In this capstone-level analytics course, I applied data analysis techniques to real-world business challenges. Using Excel and Python, I developed models for forecasting, regression, and decision support to guide managerial decision-making.

My final project focused on Monte Carlo simulation and business scenario modeling to evaluate performance metrics and optimize strategic planning.

This project demonstrates my foundational knowledge and practical experience in artificial intelligence and machine learning. Through this work, I have explored and applied key AI and data science concepts, including knowledge representation and designing effective data workflows. I collected, cleaned, and prepared datasets to train and test various machine learning models.

As part of this project, I built and trained a linear regression model for predictive analytics and developed classification models to categorize data accurately. I also designed and implemented clustering models to identify patterns and groupings within complex datasets, gaining experience with different clustering algorithms.

To expand my machine learning toolkit, I developed decision trees and random forest models, and built an artificial neural network to deepen my understanding of advanced predictive methods. Throughout the project, I also examined the ethical, security, and privacy considerations critical to responsible AI development and deployment.

This course covers the fundamental concept of an operating system and outlines the key features of the Linus operating system. It covers the origins of the Linus operating system and identifies the characteristics of various Linus distribution a and where to find them.

It also tells about the common uses of Linus in the industry today, work with a virtual machine, and access the Linus system.

This course project covers the fundamental concept of the IoT b integrating hardware, software, and networks into an entire system. The project is divided into six parts where each part builds upon the previous resulting in an IoT device that will simulate a smart home automation and security system. The design and development process of this project truly encompasses various aspects of the IoT and will prepare you for your future career in technology. The objective is to introduce simulation using a virtual emulator, to familiarize with hardware components required to build physical system, to familiarize with programming logic and design of hardware, to familiarize with error handling principles in operating systems.

​

Technical project management (TPM) is a specialized approach focusing on technical projects like software development, IT infrastructure, and hardware installation. It requires technical expertise, project management skills, and planning, budgeting, scheduling, risk management, and communication. TPM projects include cloud migration, SDLC, infrastructure upgrades, and cybersecurity initiatives.

​

This course explores universal aspects of database systems that are common across
programming languages, operating systems, or application types. Systems reviewed range from personal device and desktop databases to large-scale, distributed database servers. Classic
relational databases to modern data warehouses are presented. Topics covered are library
creation, primary key selection, column identification, defining relationships, normalization, data indexing and storage, and query languages. Students code and execute programs and routines that create, insert, update, and delete data

This course examines database system features that are uniform across operating systems, computer languages, and application categories. The systems under review span from desktop databases and personal devices to massive, dispersed database servers. We present both contemporary data warehouses and traditional relational databases. Throughout this course, i achieved the following: created a physical database from the logical model, created an entity relationship diagram, described the normalization process for a database, assessed the security requirements for a database, created a database with both basic and sophisticated reports based on queries, and designed queries to retrieve requested data using SQL statements.