Emmanuel Owusu Oware

• Utilized Python for web scraping to extract and compile data from a given source, ensuring accuracy and reliability
• Leveraged Tableau to present data findings in a clear and visually appealing manner, enhancing the effectiveness of an infographic project
• Conducted data cleaning and preprocessing to prepare datasets for analysis, ensuring high-quality outputs

• Created a database in MS Excel to track permits and revenue generated for my unit
• Generated monthly reports using Excel to highlight the trends in precursor chemical importation, revenue generation, and related data
• Introduced my team to the use of pivot tables for analysis which reduced the time for compilation of reports from days to hours.

Project: Estimation of Obesity Levels Based on Eating Habits and Physical Condition

• Conducted comprehensive data cleaning, and exploratory analysis to understand the factors influencing obesity levels.
• Developed and validated predictive models using statistical methods and machine learning techniques
• Prepared detailed reports and presented results to stakeholders, enhancing data-driven decision-making

• Leveraged the power of machine learning algorithms to predict the amount of money companies are to pay to my organization (99% accuracy achieved)
• Analyzed a video game company database with SQL, providing key insights, and presented my findings visually using Tableau
• Created a database for tracking COVID-19 patients using PostgreSQL
• Used machine learning algorithms to predict the possibility or otherwise of patients developing stroke based on selected features.