Abdullah Imran

Data Scientist and Machine Learning Engineer with a strong foundation in Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs). Experienced in building and deploying end-to-end ML pipelines, RAG and LLM-driven systems, and computer vision applications that turn data into measurable business value. Comfortable owning problems end to end in fast paced environments, from data ingestion and modeling through deployment and monitoring.

AI/ML Fellowship - ACM Uet x Devsinc

(2024-06 - 2025-02)

• Built supervised machine learning models for healthcare predictive analytics on a clinical dataset of body-fat patient records, achieving 91% accuracy and a 92% F1-score, strengthening prediction reliability for clinical decisionmaking.
• Engineered an automated end-to-end ML pipeline (data ingestion, EDA, feature engineering, model training, evaluation) using Python and Scikit-learn, cutting end-to-end processing time by 30%.

Machine Learning Core Team Member - UMT GoDoc

(2024-01 - 2025-01)

• Organized and managed multiple AI/ML events, workshops, and technical sessions for the student community.
• Supported ML-related initiatives, providing technical guidance and hands-on activities to participants.
• Contributed to building a collaborative, learning-focused environment within the developer community.

Bachelor of Science - Data Science - University of Management & Technology (UMT) (2022-01 - 2026-01)

Intermediate of Computer Sciences - Computer Sciences - Government College University (GCU) (2019-01 - 2021-01)