Rahman Anwar
Machine Learning / Deep Learning / Computer Vision
Technology / Internet
About 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
Experience
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.
Education
University Of Central Punjab, Lahore
2017-2021
Bachelor of Science in Computer Science.