Portfolio

During my tenure as an Android developer, I contributed significantly to the development of the AwiPay digital wallet app. I made use of my knowledge of Kotlin and Java to add to the essential features of the program. In addition to working on the UI, I also tested and developed the online applications and APIs that the Android application smoothly integrates with. I now have a comprehensive understanding of the whole Android app development cycle thanks to this experience, which will help to make sure AwiPay users have a reliable and easy-to-use experience.

The power of data analysis intrigues me. My love is uncovering hidden patterns and gleaning insightful information from unprocessed data. I've experimented with preprocessing and data cleaning using Python, turning unstructured datasets into formats that can be used. This enables me to do in-depth analysis, such as identifying patterns in sales data or analyzing sports statistics to better comprehend performance. I close the knowledge gap between data and information by using data analysis to provide insightful information that can guide choices and produce desired outcomes.

I'm really excited about the topic of machine learning because of its capacity to generate insightful predictions and learn from data. I've refined my data manipulation abilities using Python, painstakingly preparing and cleaning raw data to maximize its potential. Strong machine learning models are constructed using this enhanced data as a basis. With the help of my house price prediction algorithm, consumers will be able to make well-informed real estate decisions. In addition, I used machine learning to develop a Flask-based system that is easy to use. Using the user's input, this system suggests the ideal home depending on their tastes. I close the gap between data and practical applications by fusing machine learning, data analysis, and Flask to provide user-centric solutions that enhance user experiences and produce tangible outcomes.