Mohammed Israr

Background

About Mohammed Israr

Led team of data scientists and data engineers to assist on feature engineering, machine learning model development and deployments at scale. • Experience in building end to end machine learning solutions from data processing to model deployment using machine learning packages (scikit-learn, TensorFlow). • Experience in building and deploying data pipelines to perform EL, ETL and ELT using Dataflow (Java & Python) and Dataproc (Spark) in GCP environment to migrate data to BigQuery and Bigtable. • Experience in developing orchestration workflows in Apache Airflow (Python) • Experience in creating dashboards for Infrastructure, ML model health monitoring using ELK (Elastic Search) • Experience in preparing SQL Queries for transform, analyze the data in BigQuery. • Develop, refine, and scale data management and analytics procedures, systems, data pipelines and best practices • Design and implement cloud migration solutions for client and bring industry best practices. • Ability to develop reliable, maintainable, efficient code in most of SQL and Python. • Excellent communication, presentation, and organizational skills. • Strong inter-personal, problem solving and analytical skills. • Effective communicator with management skills & strong analytical, problem solving, presentation & organizational abilities