Muhammad Shafay Amjad Worked under Forbes 30 list (includes Amazon, Meta and Goldman Sachs Group ) Forbes 1000 list (includes Delivery Hero) TOTAL: 6+ years of experience in Data Sciences and Data Engineering Collectively parallel Experience below: 5+ years of experience in Python 5+ years of experience in Data Engineering, SQL, and Amazon Web Services ( AWS ). 5+ years of parallel experience in Business Intelligence 5+ years of parallel experience in Machine Learning 2+ years in GCP, Airflow, and BIG QUERY 2+ years of parallel experience in Deep Learning Public Repos: https://github.com/shafaypro * - AWS Certified Machine Learning Specialist. * - AWS Certified Solutions Architect Associate. * - AWS Certified Developer Associate * - AWS Certified Cloud Practitioner. *- GCP Cloud Architect ACG *- Terraform Certified Developer Associate * - ACLOUDGURU Google Certified Cloud Engineer * - Certified Python Specialist * - Certified Executive Data Science Specialist. * - Statistics Specialization. * - Deep Learning Specialization. * - Machine learning Specialization. * - Software Code Quality Specialization. * - Reinforcement Learning Specialization. (in progress) *- Data Engineering Specialization 13 successfully delivered client-side projects. 11 of them includes Data Engineering and Data automations. 10 projects in Machine Learning and Data Sciences. Accomplishments: My major Interest is in Data Sciences, Data Engineering, Machine learning, and Data analysis with python/R/ SQL. Experienced in Data Science (Machine learning) in three major companies. Appropriate Domains with Extensive Knowledge Graph intends to be around - Data Sciences - Data Engineering - Cloud Computing - Google/AWS - Machine Learning/ Artificial Intelligence - Deep Learning/ Reinforcement Learning - Computer Vision Analysis/ Image Manipulations. - Automation of OS/ Programs - Custom development using Python/C++ as the main Language. - Data Warehousing using Python/SQL. (Snowflake, AWS services) - Serverless Data Lakes and Machine Learning Pipelines - Business Intelligence Pipelines with AWS