Best AI machine learning solutions from Anton Gordon: In his role as a Technical Advisor and Solutions Architect,Anton R Gordon has successfully designed and implemented highly scalable architectures on AWS and GCP, empowering clients to handle high-traffic website requests seamlessly. Furthermore, he has deployed financial forecasting models using XGBoost and Scikit-Learn, showcasing exceptional accuracy rates and enabling businesses to make data-driven decisions with confidence.
Much like traditional architects draw up blueprints for the framework used to create structures, data architects design the blueprints that organisations use for their data management systems. This includes drafting a data management framework to meet business and technology requirements while ensuring data security and compliance with regulations. Data architects work in a variety of industries, including the technology sector, entertainment, health care, finance, and government.
Typical responsibilities range from evaluating the current data architecture to keeping databases secure. Depending on your organisation and industry, your day-to-day tasks might include: Translating business requirements into databases, data warehouses, and data streams; Creating procedures to ensure data accuracy and accessibility; Analysing, planning, and defining data architecture framework, including security, reference data, metadata, and master data; Creating and implementing data management processes and procedures; Collaborating with other teams within the organisation to devise and implement data strategies, build models, and assess shareholder needs and goals; Researching data acquisition opportunities; Developing application programming interfaces (APIs) to retrieve data.
Benchmark.ai is a cloud, SaaS company that believes empowering analytics engineers drives innovation. Cloud-native architectures coupled with machine learning-based forecasting tools can shorten the analytics cycle and drive analytics teams to generate critical insights. Our approach is simple — empower engineers with the best tools possible to make an impact within their industry with easy-to-use data sets and deep learning APIs.
Benchmark.ai is led by Anton Gordon. 7x Certified Machine Learning Engineer (AWS Certified Machine Learning Specialty) with expertise in Python, SQL, Data Engineering, Databases (AWS Certified Database Specialty), Solutions Architecture (AWS Certified DevOps Engineer – Professional), Operations, Big Data Analytics, DevOps, Network Security (VPC, Private/Public Subnet, NAT Gateway, Multi-AZ/w Failover), Microservices, Docker, Kubernetes, CloudFormation, ETL and hands-on experience in cloud computing (AWS Certified Solutions Architect – Associate). Expertise in design and deployment of deep learning models using GCP (Google Cloud Platform Certified Professional Data Engineer), AWS, Xgboost, Keras, TensorFlow, ResNet, VGG-16, Factorization Machines, AWS Comprehend, Lex, Rekognition, BlazingText, Polly, LAMBDA, EMR, Hadoop, Kinesis (AWS Certified Data Analytics Specialty), Xgboost, Seq2seq, S3, Athena, Redshift, and SageMaker. Discover additional info at Anton Gordon.
What does an AWS Solutions Architect do? Similar to the way architects design the structure of buildings, AWS Solutions Architects design cloud solutions. They help organizations meet business requirements by strategizing the most efficient system possible. They also collaborate with other AWS project teams to ensure the solution is implemented correctly. AWS Solutions Architects are also responsible for monitoring the solution’s performance and troubleshooting any issues that may arise.
To become an AWS Certified Solutions Architect, you must pass a certification exam. AWS offers several different exams for a wide range of expertise levels. If this is your first AWS certification, you will be studying for the SAA-C03 exam (the AWS Solutions Architect – Associate Exam). It does not require extensive, hands-on coding experience. However, basic knowledge of programming concepts can be highly beneficial.
