Laiba Mazhar i22-1855

I’m a Data Scientist with hands-on experience across the ML lifecycle—data pipelines, feature engineering, predictive modeling, and deployment. I blend statistical modeling with production-grade data engineering to deliver scalable, business-ready ML solutions.

In my freelance work, I’ve delivered scalable batch and real-time data pipelines using Spark, Kafka, and Airflow, backed by cloud infrastructure across GCP and AWS. I’ve also built automated data validation, reporting, and reconciliation pipelines to improve data accuracy, accessibility, and audit readiness.

My projects reflect my end-to-end approach: CareFlow for healthcare operations with secure, compliant data handling; NexusPilot for integrated workflows with real-time streams; and an English–Urdu NLP translation system using Transformer-based modeling. I also enjoy translating complex requirements into reliable systems through deployment pipelines, automation, and clear evaluation.