ejaz uddin
@ejazuddin
Data Scientist skilled in AI-based classification and prediction systems.
What I'm looking for
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.
Experience
Work history, roles, and key accomplishments
Data Scientist
Bit&Byte Technologies PVT Ltd
Jan 2024 - Present (1 year 5 months)
Used machine learning tools to select features, create, and optimize classifiers. Carried out preprocessing of structured and unstructured data, enhancing data collection procedures for analytic systems.
Network Engineer
Agro Processors and Atmospheric Gases PVT LTD
Feb 2014 - Present (11 years 4 months)
Designed and implemented network systems, ensuring their monitoring and maintenance. Provided support, including procedural documentation and relevant reports, and secured network systems by establishing and enforcing policies.
Education
Degrees, certifications, and relevant coursework
Kunming University of Science and Technology (KUST)
Master of Engineering, Communication and Information Systems
Grade: 3.31 GPA
Conducted extensive research on machine learning algorithms including SVM, KNN, Random Forest, ANN, and CNN, focusing on improving CNN accuracy with a novel FECA-CNN model. Applied these algorithms to audio classification, involving data cleansing, preprocessing, and feature extraction. Utilized data science and statistical techniques to complete the master's thesis.
Sir Syed University of Engineering and Technology (SSUET)
Bachelor of Science, Telecommunication Engineering
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Social media
Job categories
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