OROBOSA EKHATOR

computer science graduate student with excellent skills in database administration, machine learning, and data analysis. competent with SQL, Python, and programs for data visualization such as Tableau. knowledgeable about creating relational databases, applying predictive models, and working with huge datasets. eager to use technical expertise in database administration and data science to support creative problem-solving and data-driven decision-making in a forward-thinking organization."

• CURRENTLY DOING RESEARCH USING VARIATIONAL AUTOENCODERS (VAEs), 09/01/23 - Present, It is still ongoing research that's why the contents of it cannot be divulged yet.
• SALES FORECASTING: A STUDY OF SHOPRITE NOVARE GATEWAY MALL, 12/01/21, This research focused on factors that affect the growth of sales in the mall. Statistical analysis was carried out and the major tool used to carry out this analysis was Linear Regression. This analysis was carried out using python and proper visualization was done on Tableau. It was revealed that Advertising was the major source of growth and continuous investment in advertising will lead to a continuous increase in sales.
• PREDICTION OF THE AMOUNT OF RAINFALL IN ABUJA, NIGERIA, 05/01/21, This research focused on determining the period when rainfall was at its highest and lowest. Time Series Analysis was carried out using R Programming Language. The data was further decomposed into trend, seasonality, and remainder components. After finding a seasonality pattern in the data, and further analysis, it was found that rainfall decreases from the months of October to March and increases from the months of April to September. One of the importance of this research is that it provides beneficial insights to agriculturists on knowing when it is suitable for planting.

• Artificial Intelligence
• Machine Learning
• Reinforcement Learning
• Database Management
• Algorithm Design