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Projects

Some of the projects are from work and some are on my own time.

152

Eva Commerce

This project is a high-traffic web platform for omnichannel marketplaces like Amazon, providing real-time statistics, recommendations, and full store management.

44

Movieflix

This platform allows users to discover and explore movies effortlessly, providing detailed information for each selection. Designed for a smooth and engaging experience, it ensures easy navigation and accessibility across different devices. With intuitive features like pagination and error handling, users can browse large movie collections without interruptions.

200

TRK Space

The Decision Support Dashboard is a real-time data visualization platform that helps users analyze trends and make informed decisions through interactive charts. By leading a team of seven developers, I contributed to both technical development and project management, ensuring a seamless and customizable user experience. The platform enables real-time and historical data analysis, allowing users to gain valuable insights effortlessly.

230

erenonal.com

The website you're looking at

85

Customer Segmentation

This project applies K-Means to segment customers based on credit card behaviors like spending and cash advances. Six clusters were identified, each with unique spending patterns. These insights help develop targeted marketing strategies for different customer groups.

101

Rentalize (Backend 4 fun)

This project allows renting cars and bicycles based on stock availability, with daily or hourly pricing. Discounts can be applied to certain vehicles, and feedback is provided based on stock status.

90

Fizix

I developed a predictive maintenance system that analyzes vibration, temperature, and sound data in real time to detect potential machine failures, trigger instant alerts, and facilitate fault tracking. By integrating dynamic dashboards, automated reports, and predictive analytics, the system helped optimize maintenance processes, minimize downtime, and improve operational efficiency.

50

Sentiment analyze

This project scrapes product reviews from Amazon, performs sentiment analysis using `textblob`, and categorizes them as positive, negative, or neutral. It then saves the reviews in a file, translates them to English, and visualizes the sentiment distribution.

120

Churn analyze

This project uses the XGBoost algorithm to predict customer churn based on demographic and service usage data. The dataset was preprocessed by converting categorical variables, scaling features, and removing irrelevant columns. The model achieved an 80% accuracy and was optimized using GridSearchCV, with results visualized through a confusion matrix.

71

Dream House

Dream Housing Finance uses Logistic Regression to predict loan eligibility based on customer details like income, loan amount, and credit history. After preprocessing the dataset, the model achieved 80% accuracy, aiming to automate the loan eligibility process.