Anas Muhammad

Background

About Anas Muhammad

I'm a results-driven Data Scientist with over 5 years of experience and a track record of leveraging data-driven insights to guide strategic decision-making and achieve tangible business outcomes. Currently, I'm a Data Scientist at Teck Resources Ltd, a role that has allowed me to contribute to the digital transformation of Canada's largest diversified mining company. Throughout my career, I've had the privilege of working on a diverse range of projects that have made a significant impact. One of my proudest achievements was leading the development of a text classification model using DistilBERT (LLM), which resulted in annual cost savings of $1.9 million by efficiently classifying failure codes from work orders. I'm not just a model developer, though; I understand the importance of collaboration and cross-functional teamwork. Working closely with product managers, developers, and engineers, I've helped bridge the gap between data science and real-world applications, ensuring that our solutions align with the company's strategic goals. My commitment to innovation is evident in my work, from automating data drift detection to orchestrating cloud migrations. I've also taken the initiative to mentor junior Data Scientists and oversee cooperative placements, fostering the next generation of talent in the field. Prior to my current role, I gained valuable experience at Etisalat, where I forecasted mobile roaming data usage and optimized maintenance schedules, resulting in a 25% reduction in annual maintenance costs. I hold a Master's degree in Data Science from the University of British Columbia, where I achieved an A+ GPA. My educational background in Electrical Engineering from the American University of Sharjah, where I graduated Cum Laude, provides me with a unique perspective to approach complex data challenges. With a strong foundation in programming languages such as Python, SQL, and R, coupled with expertise in machine learning, statistical analysis, and MLOps, I'm well-equipped to tackle the most demanding data science projects. I'm proficient in various libraries and cloud platforms, including Azure and Google Cloud Platform, and I have experience with DevOps practices, Infrastructure as Code (terraform), and cloud migration. I'm excited to connect with fellow professionals, collaborate on data-driven initiatives, and explore new opportunities in the dynamic world of data science. Feel free to reach out, and let's connect!