All the skills that I have in that field
of work are mentioned.
My skillset includes proficiency in several programming languages,
such as Python, Java, SQL, Bash, R, HTML5, and expertise in database systems like MongoDB and Neo4J.
I am also well-versed in popular machine learning frameworks, namely TensorFlow and PyTorch.
In terms of tools, I have experience with containerization technologies like Kubernetes and Docker,
version control with Git, and databases like MySQL and Elasticsearch.
Additionally, I am familiar with data visualization tools such as Tableau and PowerBI, big data technologies
like Apache Spark and Apache Airflow, and have worked with Hadoop and AbInito.
My skill set extends to design tools like Figma, advanced Excel, and API testing with Postman.
I am knowledgeable in DevOps tools like Jenkins and GitHub Actions, as well as data integration tools like IBM InfoSphere and
managing scheduled tasks with Cron Jobs. In terms of operating systems, I am comfortable with Windows, Linux, and MacOS.
Lastly, I have experience with cloud platforms, including AWS services like S3, EC2, Lambda, CloudWatch, CloudFormation, SNS, SQS, Step Functions, and Route 53. I am
also well-versed in Azure services like Active Directory, Virtual Machine, Cosmos DB, Logic Apps, and Azure DNS, as well as Google Cloud Platform (GCP) services,
such as Compute Engine, Pub/Sub, Datastore, and IAM.