👋 Hi, I'm Surya Kumar! I’m a data engineer with over a year of hands-on experience in designing, building, and optimizing data pipelines that power data-driven decision-making. I have a strong interest in leveraging advanced data engineering techniques, including Retrieval-Augmented Generation (RAG), to solve complex business problems.🎓 Education:Bachelor's degree in Mechanical Engineering from SRM Easwari EngineeringSpecialized coursework in data science, machine learning, and statisticsContinuously upgrading my skills through online learning platforms.💼 Skills:💻 Data Engineering: Proficient in building scalable and efficient data pipelines using tools like Azure Databricks, PostgreSQL, and Python. Skilled at transforming raw data into structured formats for advanced analytics and machine learning workflows.🔧 Cloud Platforms: Hands-on experience with Azure, including Databricks for big data processing, machine learning model deployment, and optimization of data pipelines.📊 Data Management: Strong expertise in SQL and PostgreSQL for database management, query optimization, and handling large datasets.📈 Data Analysis: Leveraging Python libraries like Pandas, NumPy, and Matplotlib for data cleaning, transformation, and visualization to derive actionable insights.📚 Retrieval-Augmented Generation (RAG): Experience in combining retrieval mechanisms with generative models to enhance the accuracy and relevance of generated content, particularly in natural language processing (NLP) applications.🖥️ Programming: Advanced proficiency in Python, with experience in automating data workflows, building ETL pipelines, and integrating machine learning models.📊 Data Visualization: Experience creating visualizations and dashboards to communicate insights using tools such as Tableau and Matplotlib.🚀 Projects:📈 Built and optimized an ETL pipeline for a real-time analytics platform, reducing data processing time by 40%.💻 Developed and deployed data models for predictive analytics and reporting, improving decision-making for key stakeholders in the business.🧠 Applied RAG techniques to enhance the relevance of content generation in a natural language processing project, improving model performance and user engagement.💼 Career Interests:I am seeking opportunities in data engineering and retrieval-augmented generation (RAG) to contribute to cutting-edge projects in data science and artificial intelligence. Open to roles that involve large-scale data architecture, machine learning integration, and cloud-native solutions.