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prakasarul/README.md

Arulprakasam

prakasarul

Data Science and DevOps Professional

Welcome to my GitHub profile! I'm Arulprakasam, a passionate Data Scientist and DevOps engineer with extensive experience in both fields. I specialize in leveraging data-driven insights to improve business processes and implementing robust DevOps practices to enhance software development workflows.

About Me

I have a diverse background in both data science and software engineering, which allows me to bridge the gap between data analytics and software development seamlessly. I am skilled in various programming languages such as Python, perl and shell scripting. Additionally, I have hands-on experience with cloud platforms like AWS, Azure, and GCP, along with containerization tools like Docker and Kubernetes.

Data Science Expertise

In the realm of data science, my expertise includes:

  • Data analysis and visualization
  • Machine learning model development and deployment
  • Predictive analytics and forecasting
  • Natural Language Processing (NLP) and text mining
  • Feature engineering and selection
  • Exploratory data analysis (EDA)
  • Time series analysis

Languages and Tools:

grafana kafka mysql opencv pandas postgresql python scikit_learn seaborn selenium sqlite tensorflow

DevOps Skills

On the DevOps front, I excel in:

  • Continuous Integration and Continuous Deployment (CI/CD) pipelines setup and automation using Jenkins, GitHub Actions
  • Infrastructure as Code (IaC) using tools like Terraform
  • Configuration management with tools like Ansible
  • Containerization and orchestration using Docker and Kubernetes
  • Monitoring and logging with ELK stack, Prometheus, and Grafana
  • Version control systems such as Git and SVN

Devops Tools:

aws azure bash docker gcp jenkins kafka kubernetes pandas selenium

Projects

Here are a few highlights from my portfolio:

  • Predictive Maintenance System: Developed a machine learning model to predict equipment failures in manufacturing plants, reducing downtime by 20%.
  • Automated Deployment Pipeline: Implemented a CI/CD pipeline using Jenkins, Docker, and Kubernetes, reducing deployment time by 50%.
  • Sentiment Analysis Tool: Built an NLP-based sentiment analysis tool for social media data, providing valuable insights for marketing campaigns.
  • Infrastructure Automation: Designed and deployed infrastructure on AWS using Terraform, reducing manual configuration efforts by 70%.

Get in Touch

I'm always open to collaboration and new opportunities. Feel free to reach out to me via LinkedIn to discuss potential projects or just to connect.

Let's innovate and solve problems together! 🚀

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