Abdullah Al Imran

Abdullah Al Imran has held various positions in the field of Data Science since 2017. In 2021, they began working as a Senior Data Scientist at Ai Palette, where they are responsible for building and improving language-agnostic NLP (Natural Language Processing) Models for analytics on user-generated content, building statistical & language generative models to generate & screen consumer product concepts for future product innovation, and building predictive models & identifying the relevant parameters to find the future trajectory of food trends. From 2019 to 2021, they also worked as a Data Scientist at Robi Axiata Limited, where they developed two (bi-weekly and monthly) customer churn and inactivity prediction models for Ncell. In 2019, they also worked as a Data Science Trainer at Divine IT Limited, where they provided Applied Data Science training to 50 IT professionals for the Kaliakoir Hi-Tech Park project of the Bangladesh government. From 2017 to 2018, they worked as a Research Assistant at the University of Dhaka's Data & Design Lab, and as a Teaching Assistant at the American International University Bangladesh (AIUB) in 2018.

Abdullah Al Imran's education history includes a Bachelor's Degree in Computer Science & Engineering from American International University-Bangladesh from 2014 to 2018, a Higher School Certificate (HSC) from Dhaka College from 2011 to 2013, and a Secondary School Certificate (S.S.C) from Shamsul Hoque Khan School & College from 2006 to 2011. Abdullah is currently pursuing an MSc in Artificial Intelligence from the University of Liverpool, which they began in 2022. In addition, Abdullah Al Imran has obtained numerous certifications from institutions such as LinkedIn, Udemy, and A Cloud Guru, including Amazon EC2 Fundamentals, Learn to Deploy Containers on AWS in 2022, Introduction to AWS, Introduction to Cloud Computing, First Look: Python 3.9, Learning the Elastic Stack, Advanced NLP with Python for Machine Learning, Mistakes to Avoid in Machine Learning, Writing a Tech Resume, Goal Setting: Objectives and Key Results (OKRs), Agile Foundations, Building and Deploying Deep Learning Applications with TensorFlow, Communication Foundations, Cybersecurity Awareness: Security Overview, Learning Data Science: Using Agile Methodology, Learning Data Visualization, Problem Solving Techniques, Apache Spark Deep Learning Essential Training, Docker for Data Scientists, and Applied Machine Learning: Algorithms.