WELCOME TO THE PROJECTS SECTION
E-Commerce Customer Analysis
Conducted a comprehensive analysis of customer behaviour in online shopping, exploring demographics, shopping habits, device usage, and platform preferences to uncover valuable patterns and insights, contributing to a deeper understanding of evolving trends in the online retail landscape.
Property Price Analysis
The project aimed to predict property prices by utilizing a dataset encompassing diverse property features such as lot size, building type, quality, condition, year built, and others, employing machine learning techniques for the analysis and prediction of real estate values.
Stock Rate Prediction
The project focused on predicting stock prices through the utilization of historical data, encompassing tasks such as loading, cleaning, and analyzing stock data, followed by the application of machine learning models for accurate price predictions.
Employee Selection System
The Employee Selection System project employed data analysis and machine learning to enhance organizational hiring processes by utilizing a dataset with job applicants' attributes, predicting departmental suitability and providing a data-driven approach to employee selection.
Dry Bean Classification
This project aimed to enhance the accurate classification of diverse dry bean varieties through a neural network system, achieving a remarkable 90.79% accuracy using deep learning techniques on a dataset of 33,000 images. The objective involved meticulous tuning of hyperparameters and comprehensive performance evaluations, promising advancements in agricultural practices for improved quality control and decision-making.
Yelp Review Classification - NLP
The objective was to develop a robust model using NLP and machine learning to automatically categorize customer reviews as positive or negative, addressing the challenge of efficiently analyzing large volumes of feedback on platforms like Yelp. This solution aimed to provide businesses with insights to enhance customer satisfaction, make data-driven decisions, and respond effectively to feedback, aligning with the imperative for companies to be customer-centric and data-driven in today's competitive market.