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hands-on-time-series-analylsis-python's Introduction

Hello ๐Ÿ‘‹, I am Pragnesh ๐Ÿ˜ƒ

  • Ai Researcher:
  • By Profession MLops engineer
  • Experience in IOT
  • A pythonista ๐Ÿ

About me

Passionate Machine learning professional and data-driven analyst with the ability to apply ML techniques and leverage algorithms to solve real-world business problems. https://medium.com/@pragnesh.nprajapati

TECHNICAL SKILLS

โ— Proficient in Azure and AWS cloud infrastructure with experience in deploying ML workloads via Azure Kubernetes Service (AKS) and Amazon Elastic Kubernetes Service (EKS).

โ— Extensive integration experience with H2O products and cloud services, including Azure DevOps, Azure Container Registry (ACR), Amazon Machine Image (AMI), Amazon EC2, and Amazon SageMaker.

โ— Knowledgeable in cloud-based data processing and storage solutions, with expertise in Databricks' Spark cluster, Azure Blob Storage, and Amazon S3.

โ— Skilled in managing the ML software development lifecycle in cloud environments, utilizing Azure DevOps and AWS services for source control and CI/CD.

โ— Proficient in ML algorithms, predictive analysis, deep learning, data visualization, and data analytics.

โ— Experience with Python, R, HTML, Terraform, YAML, and PySpark programming languages.

โ— Familiarity with frameworks such as OpenCV, long-chain,llama3,BERT , trasformers, vectordb, Scikit-Learn, TensorFlow, Keras, PyTorch, Pandas, H2O, MLflow, MLops, Apache Kafka, matplotlib, and Airflow.

โ— Proficient in visualization tools like Dash, Matplotlib, Plotly, Seaborn, MapBox, and HTML.

โ— Knowledgeable in databases including Redis, MySQL, MSSQL, PostgreSQL, and DEEP.

โ— Experienced in cloud technologies including Azure, Kubernetes, Databricks, AWS, GitHub workflow, and Google Cloud Platform (GCP).

โ— Currently expanding expertise in quantum machine learning with Qiskit

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Credit: pragnesh-ai

Last Edited on: 9/13/2021

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