Muhammad Saif Basit

A full-stack AI professional and a data scientist with 2+ years of diversified experience, also holding publication in the world's largest technical professional organization “IEEE” as a first author. I enjoy taking new challenges and putting pieces together to solve complex problems to challenge my thinking capability. I am always seeking to advance my career in revolutionary tech to keep myself updated and looking for an opportunity to utilize my selflearning capabilities to perform data-driven decision-making with cutting-edge technologies.

I have a strong professional background in software development and data analysis, including writing efficient and testable code, managing relational databases like MySQL, and developing a successful ML predictive model that boosted staff efficiency by accurately predicting customer traffic with 90% confidence while reducing food waste by 10%. My skills also extend to conducting exploratory data analysis, resulting in a 20% increase in sales during peak hours, and creating real-time Looker Studio dashboards that improved overall sales by 5% and reduced decision-making time by 10%. Additionally, I conducted NLP sentiment analysis on over 1,000 customer feedbacks, leading to the introduction of 10+ new menu items and a 15% increase in repeat customer visits.

I hold a degree in Computer Science and conducted my Final Year Project (FYP) focused on Deep Learning, specifically in the area of Driver Drowsiness Detection. This project was extended into a research paper and was successfully published in the IEEE, the world's largest tech organization.