Rahman Anwar

Passionate machine learning professional and data-driven analyst with the ability to apply ML techniques and leverage algorithms to solve real-world business problems

Machine Learning Intern

Syntax Software House, Rahim Yar Khan

•  Performed a key role in designing and developing analysis systems to extract information from large-scale databases. 
• Utilized data to develop machine learning models to identify outliers with 94% accuracy.
• Built predictive models with 90% accuracy by employing a decision tree to anticipate customers' behavior. 
• Applied various machine learning techniques by deploying Python to build dynamic pricing models and maximize profits. 
• Created charts in Jupyter Notebook to perform analysis & visualize data using Matplotlib 
• Used various supervised/Unsupervised learning techniques on agriculture datasets for better prediction. Used different machine learning models to detect aggressive speech on the Twitter dataset.

University Of Central Punjab, Lahore

 2017-2021

 Bachelor of Science in Computer Science.