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Data Analysis

​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.