MOHAMMED ZUBAIR AHMED
Software Engineer
Software Engineer
• Implemented advanced machine learning techniques, including LSTM (Long Short-Term Memory) networks and artificial
neural networks, to predict quantitative outcomes like incident rates and fatality rates from COVID-19 genomic data.
Analyzed genomic data collected from over 10,000 COVID-19 cases spanning multiple cities. Improved prediction accuracy
by 20%, enabling better-informed public health responses and interventions.
• Technologies Used: Pandas, NumPy, TensorFlow/Keras, Matplotlib, Seaborn, Scikit-learn
• Tools & Techniques: Machine Learning, Deep Learning, Predictive Analytics, Time-Series Analysis, Bioinformatics,
genomic data processing, feature encoding.
• Created a project to build an interface between the airline companies and the passengers so that they can book tickets from
anywhere in the world. Airline reservation system which uses tkinter to build up a GUI and sqlite database to store the
signup information of a passenger. App shows a frame which asks Experience departure and arrival city, and if the customer
wants to book he can proceed with the sign-in and sign-up.
• Libraries & Frameworks: Python, Tkinter for GUI development, SQLite for database management.
• Tools & Techniques: GUI Design, Database Integration, Software Development, Data Analysis.