Tahir Khalil
About Tahir Khalil
Tahir Khalil is a Data Scientist II with expertise in natural language processing and computer vision. He holds a Master's degree in Computer Science from Information Technology University and has experience working with tools like Mode Analytics and Google BigQuery.
Work at Turing
Tahir Khalil currently holds the position of Data Scientist II at Turing, a role he has occupied since 2023. His responsibilities involve advanced data analysis and the application of machine learning techniques. Prior to this, he worked as a Data Scientist I at Turing from 2022 to 2023, where he contributed to various projects remotely from Palo Alto, California. His work at Turing emphasizes his expertise in natural language processing and computer vision.
Education and Expertise
Tahir Khalil earned a Master's degree in Computer Science from Information Technology University, where he studied from 2018 to 2021. His academic background also includes a Bachelor of Engineering in Mechatronics and Control Engineering from the University of Engineering and Technology, Lahore, completed from 2014 to 2018. He possesses expertise in natural language processing, computer vision, statistical analyses, and MySQL, which he applies in his data science projects.
Background
Tahir Khalil began his professional journey as an intern at Confiz in 2017 for one month. He then served as a Research Officer at KICS from 2020 to 2021, where he worked for five months in Lahore, Pakistan. Following this, he was a Research Associate at Information Technology University from 2021 to 2022, gaining valuable experience in research and data analysis before joining Turing.
Technical Skills and Tools
In his role as a data scientist, Tahir Khalil utilizes various tools and technologies to enhance his data analysis capabilities. He is proficient in Mode Analytics and Google BigQuery, which are integral to his data science work. His skill set includes natural language processing, computer vision, statistical analyses, and MySQL, enabling him to contribute effectively to diverse data-driven projects.