Transforming data into meaningful insights and solutions
Welcome to my digital portfolio. Here, I showcase a selection of data-driven projects highlighting my knowledge in machine learning. My journey in learning various machine learning models—including linear regression, random forests, decision trees, and neural networks—is ongoing, and I'm always eager to connect with fellow enthusiasts and collaborators.
Delve into my GitHub for comprehensive end-to-end projects, and visit my Kaggle profile to explore my notebooks in predictive modeling. I invite you to explore my work and reach out to discuss potential opportunities.
An NLP-powered AI tool built with LangChain, FAISS, and OpenAI's GPT-3.5-turbo that efficiently retrieves context-aware responses to customer queries for Twitter/X.
Sales forecasting for Walmart stores using time-series analysis and machine learning techniques. Analysis of historical data from 45 Walmart stores including markdowns, store locations, and macroeconomic indicators.
Machine learning project to predict customer churn in the telecom industry using Python and AWS. Includes data loading, EDA, model building, and monitoring for data and model drift.