Alee Asghar

Product Experience, Analyst Iii @ US Mobile

About Alee Asghar

Alee Asghar is a Product Experience Analyst III at US Mobile, specializing in deploying ideas through industry standards. He has a background in computer science and experience in technical support and data science, with expertise in machine learning and natural language processing.

Current Role at US Mobile

Alee Asghar currently holds the position of Product Experience, Analyst III at US Mobile, a role he has occupied since 2022. He is based in Islāmābād, Pakistan. In this position, he focuses on deploying ideas using industry standards and methods, contributing to the enhancement of product development and consumer feedback analysis.

Previous Experience at US Mobile

Before his current role, Alee Asghar worked at US Mobile as a Tier - II Technical Support Engineer for 9 months from 2021 to 2022. During this time, he provided technical assistance and support to customers, helping to resolve issues and improve user experience.

Educational Background

Alee Asghar earned his Bachelor's degree in Computer Science from Preston University Islamabad, where he studied from 2013 to 2018. He also completed his Intermediate in Computer Science (ICS) at Postgraduate College H-8 from 2011 to 2013. His education has provided him with a strong foundation in computer science principles.

Technical Skills and Expertise

Alee Asghar possesses expertise in computer image processing and recognition, utilizing the OpenCV library. He employs machine learning techniques to enhance product development and consumer feedback analysis. Additionally, he has skills in natural language processing, using the Python toolkit NLTK to improve machine learning applications.

Professional Experience in Technical Support

Prior to his current position, Alee Asghar worked as a Technical Support Specialist at KeepTruckin from 2019 to 2021 for 2 years. He also served as a Data Scientist at El Rey Network for 9 months in 2018 to 2019. His roles have involved providing technical support and data analysis, contributing to the operational efficiency of the organizations.

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