This project focuses on applying data mining techniques and Latent Dirichlet Allocation (LDA) for topic modeling to analyze discussions and narratives surrounding the Russia-Ukraine war.
This project involves the development of a credit card fraud detection software using an Object-Oriented Programming (OOP) approach in Python. The software is designed with multiple classes and functionalities to efficiently detect and prevent fraudulent activities. By leveraging OOP principles, the project ensures modularity, reusability, and scalability of the codebase.
Cleaning and visualizing data for Exploratory data Analysis and Machine Learning
Interactive Dashboard for Sales in Power BI
This project entails developing a robust chat application using Java. It covers the entire development process, from setting up the environment and designing the user interface to implementing real-time messaging features and ensuring secure data transmission.
Using Hotel Dataset for Sentiment Analysis
Transforming data into captivating stories: Explore the power of Data Visualization.
Explore insights, uncover patterns: Welcome to Exploratory Data Analysis – where data speaks volumes.
A Lecture on the importance of instantaneous rate of change and Calculus for Data Science
I hold a Bachelor of Science degree in Computer Engineering and aspiring Master's degree in Data Science. Through my education, I gained extensive knowledge in programming, analytics, and working with large and complex datasets. As a data professional, I enjoy tackling challenging projects that require creative problem-solving skills. My experience on student teams has also helped me become an effective collaborator who thrives in fast-paced, team-oriented environments. I take pride in delivering quality work on time and am always looking to expand my technical skills to provide more value to my clients and employers. Please feel free to contact me to discuss any projects you may have.