My Projects
Here is a selection of my recent projects.
Car Price Prediction System with Machine Learning and Tkinter
I built a machine learning system that predicts car prices using a trained model and an interactive Tkinter interface. Users enter car details and instantly receive an estimated value. The project uses Pandas, Scikit-learn, Matplotlib, and Seaborn, combining data analysis, predictive modeling, and UI development.
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AI Email Assistant
This project features an AI-powered email assistant built with n8n. Incoming emails are automatically classified using OpenAI GPT, which also generates a draft reply. The response is then sent to a human reviewer through gotoHuman for validation. Once approved or edited, the final email is sent back through Gmail. The result is a seamless, end-to-end system that combines AI automation with human oversight.
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Car Sales Analysis: Trends and Key Factors
An exploratory data analysis was used to identify patterns and answer key questions about car sales. I used Pandas to clean and manipulate the data, as well as Matplotlib and Seaborn to visualize sales trends based on variables such as brand, model, and year.
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Supply Chain Risk & Health Analysis
This project analyzes the supply chain performance of a beauty & makeup product company. It focuses on identifying inventory risks, demand pressure, lead-time bottlenecks, and quality issues using a combination of Python and Power BI.
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