A data engineer & ML enthusiast crafting scalable data pipelines and deploying intelligent solutions.
Tech Stack
Passionate about leveraging statistical rigor and data science techniques to solve challenging problems and drive informed decision-making.
With over 2 years of technical experience, I specialize in creating modern, scalable data solutions, from building robust ETL/data pipelines to deploying Machine Learning models using cutting-edge technologies like Python, SQL, and Docker. My passion lies in solving complex problems and turning data-driven ideas into functional, intelligent systems. I believe in continuous learning and staying updated with the latest trends in MLOps and cloud infrastructure.
Projects Completed
Years Experience
A showcase of my recent work
A comprehensive prediction dashboard for predicting crops based on soil conditions.
An hospital management app with modern UI and admin dashboard.
A task management application with calendar feature.
Architecting robust data pipelines and deploying scalable AI solutions.
Developing custom predictive models, recommendation engines, and NLP systems using Python, TensorFlow, and Scikit-learn.
Building robust CI/CD pipelines for model training, testing, and deployment, ensuring reliable AI in production.
Transforming complex datasets into clear, interactive dashboards using Streamlit or Tableau to communicate insights.
Designing scalable data pipelines to extract, transform, and load (ETL) large volumes of data.
Architecting serverless and containerized environments (Docker/Kubernetes) on AWS or DigitalOcean.
Identify high-value AI opportunities and assessing data maturity.