Okay, here is what I’m doing and why…

Data has the potential to support better decisions, uncover hidden patterns, and guide the creation of tools that genuinely improve people’s experiences. My work focuses on applying data analysis and statistical methods to understand real-world product usage and user needs; particularly in areas like small business performance and forecasting.

Currently I’m focused on using data science in these domains because I believe this is where rigorous analysis can lead to clear product improvements, ensuring the work addresses tangible problems effectively.

Simply, I’m a Jr. Applied Data Scientist with a background in Statistics and Computer Science. My interest lies in building a deep understanding from data, using statistical reasoning, and connecting those insights back to human needs to make products more useful.

In 2024, I worked on the AQSA Project at Mansoura University, where we analysed data to provide insights for small businesses, developed time-series forecasts for trends, and built a supporting chatbot. I also contributed to EVNTO!, a campus events platform, by analysing event engagement, performing sentiment analysis on feedback, and exploring event recommendations — aiming to help students connect with volunteer work and campus life more easily.

Outside of hands-on projects, I publish analyses and practical insights based on my work and learning, aiming to share useful approaches with the data community. While I maintain a curiosity about machine learning techniques like reinforcement learning and the long-term potential of neuroscience, my current professional focus is on grounded data analysis and statistical inference for product improvement.

My work is still in the early stages, and I’m constantly learning. But I’m driven by a clear question: How can data analysis become a tool that genuinely helps improve products and services for the people using them?