Hi! I'm Syed Hamza Ahmad. I'm a Software Engineering, UI/UX Design and Data Science Enthusiast

• Demo: campuseat.herokuapp.com
• Duration: Feb 2019 – June 2019

Campus Eat is a Restaurant Delivery Web-Application that catered for the multiple restaurants on the University campus of LUMS. I lead a team of five to build and deploy the web application, using React JS, Node JS and MongoDB (MERN Stack).

As the team lead, I oversaw the whole development process, following the Agile Methodology. As a developer, I made the complete front-end of the application and the login and authentication system. I was able to reduce session authentication times through the application of JWT based authentication.

• Duration:Aug 2019 – Present

A purely HCI and Design based study, to improve the interaction of humans and plants through gamification, involving detailed User Research, Conceptual design and UX design in the development of a React-Native Mobile application targeted towards children, teenagers and young adults.

• Duration:Sept 2019 – Dec 2019

This project involved Time Series Analysis on historical data from two Cryptocurrencies, Bitcoin and Etherium. The data spanned over 5 years, between 2013 and 2018. Through Exploratory Data Analysis, Inferential Statistics and Machine Learning, I analyzed historical data to forecast future prices of cryptocurrencies using an Auto-Regressive Integrated Moving Averages Model (ARIMA) in Python.

• Duration:Aug 2018 – Dec 2018

As part of a course project, I Designed and built a fully functional generic backend-system that can be used by restaurants, using Node JS and SQL. This allowed user orders, inventory and memberships to be tracked electronically, in order to completely digitize the whole experience of the customers.

• Duration:Aug 2018 – Dec 2018

Performed Field research and collected data in Lahore University of Management Sciences related to the eating, sleeping and smoking habits of students and their GPAs. I performed Inferential Statistics, Hypothesis Testing and Multi-Linear Regression to evaluate how smoking habits impacted the GPA of students, in Excel.

• Duration:Jan 2018 – Feb 2018

Created a Neural Network that recognises handwritten digits, from scratch using only NumPy in Python, trained on the MNIST handwritten digits dataset, using the method of Back-propogation. I was able to obtain an accuracy of 94% by normalizing the data.