ejaz uddin

I am a Data Scientist with a Master’s in Communication and Information Systems and over a year of hands-on experience in developing AI-based classification and prediction systems. My expertise lies in utilizing machine learning tools to create and optimize classifiers, preprocess data, and analyze large datasets to uncover patterns and solutions. I have successfully developed real-world projects, including a PDF-based AI chatbot and a customer churn prediction application, showcasing my ability to solve real problems using modern AI tools.

In my recent role at Bit&Byte Technologies, I have been actively involved in enhancing data collection procedures and validating data integrity for analysis. My previous experience as a Research Assistant at Kunming University of Science and Technology allowed me to work on various machine learning algorithms, improving their accuracy and implementing audio classification systems. I am passionate about leveraging my skills in Python, FastAPI, and Streamlit to build innovative solutions that drive business success.