M Ali User

I am a data scientist with over six years of experience building production ML and data-engineering solutions that drive measurable business impact. I blend machine learning, deep learning and NLP expertise with practical data-pipeline and database engineering skills. At DataArt, I led complex database migrations and rebuilt reporting on DB2 and PostgreSQL using DataStage, PySpark, SQL and shell scripting, enabling centralized data access and decommissioning redundant projects. I have delivered high-impact reports such as the Master Ijara report and engineered ETL flows for weekly, monthly and ad-hoc stakeholder reporting. I built ML systems that reduced manual work and costs: a BERT-based recommendation system that cut manual mapping effort by 50%, an AWS bot that improved response times by 35%, and an on-prem translation solution that reduced cloud costs by 30%. In retail, I developed AI-driven recommendation models that lowered losses by 20% and increased monthly sales by 10%. I work end-to-end—from feature engineering and model training with PyTorch, Hugging Face and transformers to deployment using CI/CD on AWS and Google Cloud. I hold an MS in Computer and Information Sciences and I enjoy partnering with stakeholders to turn data into reliable, production-ready systems that deliver business value.