Git Product home page Git Product logo

Hello 👋, I am Pragnesh 😃

  • Ai Researcher:
  • By Profession MLops engineer
  • Experience in IOT
  • A pythonista 🐍

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

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

● 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.

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

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

● Proficient in ML algorithms, predictive analysis, deep learning, data visualization, and data analytics.

● Experience with Python, R, HTML, Terraform, YAML, and PySpark programming languages.

● 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.

● Proficient in visualization tools like Dash, Matplotlib, Plotly, Seaborn, MapBox, and HTML.

● Knowledgeable in databases including Redis, MySQL, MSSQL, PostgreSQL, and DEEP.

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

● Currently expanding expertise in quantum machine learning with Qiskit

My Github stats

Pragnesh's GitHub stats Top Langs

Connect with me on


Credit: pragnesh-ai

Last Edited on: 9/13/2021

Pragnesh Prajapati's Projects

devops-exercises icon devops-exercises

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

dp100 icon dp100

Labs for Course DP-100: Designing and Implementing Data Science Solutions on Microsoft Azure

easyocr icon easyocr

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

llm-evaluation icon llm-evaluation

Optimizing and evaluating RAG pipelines using tools like ARIZE and Qdrant ensures that your LLM applications are accurate, reliable, and efficient.

mlops-iris icon mlops-iris

Create a fully automated, end-to-end IRIS Training and Deployment using Azure MLOps

models icon models

Models and examples built with TensorFlow

objdet_fizyr_colab icon objdet_fizyr_colab

Colab (Jupyter) notebook to train Object Detection model with custom dataset, based on Fizyr implementation of RetinaNet in Keras.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.