Understanding MLOps With a ZenML Project
A comprehensive guide to understand MLOps using ZenML, an open-source MLOps Framework, while creating a Production Grade MLOps Project. Learn while building and deploying.
I am a Data Scientist with a strong foundation in Machine Learning, MLOps, and Data Analytics, currently pursuing my studies at IIT Madras. I specialize in predictive modeling, statistical analysis, A/B testing, and scalable data solutions, with a keen interest in applications across tech, finance, and healthcare. My experience includes building sales forecasting models, optimizing A/B testing frameworks, and developing AI-driven automation tools. I thrive in data-driven problem-solving environments and am passionate about leveraging data to drive business impact. Let’s connect to discuss how I can contribute to your team.
This project predicts Customer Lifetime Value (CLTV) using a robust machine learning pipeline built with ZenML
An End-to-End TensorFlow Keras Model deployed on AWS EC2 to predict Coccidiosis from Chicken's Fecal images
An End-to-End Pytorch Model with FastAPI and Docker containerized to detect Guns in any Image.
Interactive dashboard for visualizing complex datasets with real-time filtering and analysis capabilities.
A LightGBM model deployed on Google Cloud Platform with CI/CD Pipelines made with Jenkins.
A Hybrid Anime Recommendation System with both user-based and content-based filtering deployed on Google Kubernetes Engine.
A comprehensive guide to understand MLOps using ZenML, an open-source MLOps Framework, while creating a Production Grade MLOps Project. Learn while building and deploying.
A Quick guide to understand the use of PyLab, an alternative to MatLab, along with its benefits and limitations