Muhammad Hassan Rizvi
Data Scientist @AUTO1 Group
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WORK HISTORY
Data Scientist @AUTO1 Group
Berlin, DE
EDUCATION
Beaconhouse
GCE A'Levels, Pre-Engineering
University of Nottingham
Master of Science - MSc, Data Sciences
Beaconhouse
GCE O'levles, Sciences
NED University of Engineering and Technology
Bachelor's degree, Electrical Engineering
ABOUT MUHAMMAD HASSAN RIZVI
With a Master\'s degree in Data Science from the University of Nottingham, I have developed a strong ability to apply predictive analytics and machine learning to solve complex problems across various industries. Proficient in SQL, Python, R, TensorFlow, and PyTorch, I am constantly striving to improve model accuracy and operational efficiency for diverse applications.My Master\'s thesis focused on developing a driver fatigue detection model using facial images, achieving a remarkable 97.4% accuracy. This project not only demonstrated my expertise in extracting relevant facial features for fatigue detection but also showcased my proficiency in handling and analysing large datasets. Following this success, I led the analysis of 4 million Twitter tweets using Databricks, employing natural language processing techniques to predict election results with high accuracy through sentiment analysis.I have extensive experience in driving enterprise data projects on cloud platforms, performing data processing, and visualizing complex datasets using tools like Matplotlib, Seaborn, and Tableau. I am committed to ethical data practices and always employ exploratory and statistical data analysis to uncover patterns and develop data-driven solutions that challenge the status quo.Motivated to apply my broad skill set to drive innovation in data science and machine learning, I am eager to contribute my knowledge and experience to deliver meaningful business outcomes.
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