Real-Time Scalable Customer Segmentation using Kubernetes
Developed a scalable model with real-time inference capabilities using FastAPI, Docker, and Kubernetes to segment customers for tailored marketing strategies.
Real-Time Scalable Customer Segmentation using Kubernetes
End-to-End Employee Churn Prediction with Azure Databricks
Developed a robust and scalable solution to predict employee churn, leveraging Azure Databricks for real-time inference with auto-scaling REST API endpoints.
End-to-End ML for Predictive Maintenance
Developed a predictive maintenance application utilizing modular programming, Docker, AWS, and CI/CD pipelines for seamless deployment and scalability.
Azure-Integrated Loan Default Prediction System
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Developed a robust system to predict loan defaults using advanced machine learning techniques and deployed it on Microsoft Azure for scalable, real-time predictions.
Revolutionizing Data Analysis: Text-to-Chart AI for Instant Insights
Developed an AI tool using Google's Gemini LLM, SQL, and Plotly Express, enabling users to easily query data in natural language and receive insightful visualizations instantly.
AI-Powered Personal Research Assistant: Web and PDF Analysis
Created an AI assistant using LangChain, OpenAI LLM, and Streamlit to fetch answers from multiple URLs and summarize PDFs for efficient information consumption.
Sales Strategy Dashboard: Profit & Market Insights
Crafted a Tableau dashboard for visualizing sales metrics, regional trends, and market insights, enabling strategic decision-making through detailed profit and pricing analysis.
Digital Platform Engagement Metrics Analysis
Developed a Power BI dashboard, integrating SQL for deep analysis of login frequencies and participation rates, enhancing digital education by optimizing engagement strategies.