#I am a Project Consultant @ the Receivership of 23 Savings and Loans and Finance Houses Companies and hold an MBA in Business Analytics from DPU University. I have also completed the Cloud Engineering program @ Azubi Africa. I am passionate about data and love telling compelling stories through data-driven insights.
Hello! I am a passionate Data Analyst with a background in finance. My journey into the world of data analysis has been fueled by my passion for uncovering insights from data and making informed decisions based on quantitative analysis. Combining my technical skills and domain expertise, I work to extract valuable insights that drive business growth and strategic decisions.
With skills in Python, MySQL, HTML, CSS, Bash scripting, and Linux, I leverage my technical knowledge alongside domain expertise in business finance to solve complex problems. My experience includes various research projects that span business analytics, finance, and emerging technologies:
- Forecasting Cryptocurrency Price Movement Using ARIMA Models: A time series analysis approach to predict cryptocurrency trends.
- Customer Satisfaction at GCB Bank Suhum Branch: An in-depth analysis of factors such as service quality, ICT, and price fairness to measure customer satisfaction.
- Analyzing the Impact of Ghana's Financial Sector Cleanup and Domestic Debt Exchange Program (DDEP): A business analytics perspective on how these reforms have affected personal savings, investment, and confidence in financial institutions.
- Languages & Tools: Python, Anaconda, MySQL, NumPy, Pandas, Plotly
- Other Tools: Microsoft Excel, Power BI, Tableau
- Descriptive Analysis: Summarizing historical data to understand patterns and trends.
- Predictive Analysis: Building models to forecast future outcomes using statistical techniques and machine learning.
- Diagnostic Analysis: Analyzing past performance to determine the cause of outcomes.
- Prescriptive Analysis: Offering actionable recommendations to optimize decisions based on data insights.
Data analysis involves identifying patterns, trends, and actionable insights from raw data. From creating interactive dashboards to designing visualizations that bring clarity to complex data, my approach ensures data is not just informative but also visually compelling.
- Analyze and interpret large datasets to identify trends and insights.
- Build predictive models using statistical techniques and machine learning.
- Leverage domain knowledge in business finance to provide actionable recommendations.
- Create interactive data visualizations and compelling dashboards.