Education
- Nanodegree Data Analysis Professional - Udacity
Jan 2022
Data Collection and Management
- Gathering, processing, and maintaining large datasets from various sources to ensure data accuracy and integrity.
Data Analysis and Modeling
- Applying statistical and analytical techniques to identify trends, patterns, and correlations within the data.
Insight Generation and Reporting
- Interpreting data findings and communicating insights to stakeholders through clear, concise, and actionable reports.
Data Visualization
- Creating interactive and dynamic visualizations to facilitate data exploration and understanding.
Stakeholder Collaboration
- Working closely with business stakeholders to understand their data needs, provide recommendations, and implement data-driven solutions.
Data Quality and Governance
- Ensuring data compliance with organizational policies, procedures, and regulatory requirements.
- Mastering Microsoft Excel using advanced formulas and tools to go through the data analysis process till the end.
- Mixing Excel with VBA Coding to have an automated live dashboard interchangeable with all your data moves.
- During my Nanodegree I used Python to implement the data analysis process merged with Jupyter Notebook.
My skills helped me in various fields such as accounting, engineering and medical field; thus I am sure that I am adding significant value to your business once you deal with me to go through the process.