Data Scientist
Faizan Aziz is a Data Scientist at Originsoft Consultancy with a focus on MLOps, experiment tracking, and reproducible machine learning pipelines. He specializes in bridging the gap between research and production, building systems with DVC, MLflow, and modern data tooling to make ML experiments reliable and deployable.
A compact, hiring-manager-friendly ML pipeline that goes from raw CSV to reproducible experiments using DVC stages and MLflow tracking on DagsHub, with metrics and model artifacts logged every run.
A hands-on, copy-paste-ready walkthrough to track Keras/TensorFlow experiments in MLflow, run Hyperopt tuning with nested runs, register the best model, and serve it as a REST API.
A statistics-flavored argument for bounded inequality: why extreme wealth outliers signal an unstable system, and why a narrower distribution can mean a healthier society.
