Data Professional profecient in Python, SQL, Power Bi and Excel.
The aim of this project is to perform a Time series analysis using three different models which are ARIMA, LSTM and XGBoost. Also analysed the performance of the three models using 10 years of data from a company listed on Saudi Stock Exchange. Moreover, Xgboost is used to forecast the stock prices for the next 21 days
This independent project involved the development of a vertical search engine similar to google scholar for Coventry University's School of Economics, Finance, and Accounting. The project utilized a web scraper to extract data from the university's website
The project investigates the effect of factors such as descriptions of the listings on the price of Airbnb rentals using Natural Language Processing and predicted rents of the listings using those factors in PySpark.
Created an automated contactless shopping system that streamlined POS processing, reducing crowding and improving efficiency.Utilised the YOLOv4 model and Darknet framework and deployed on NVIDIA Jetson Nano for precise object detection, enabling effective product recognition with a precision of 98%.
I developed this dashboard using the dataset available on Maven Analytics website, it tracks revenue, order values, most ordered pizza, and top revenue-generating pizza using Power BI