henry madanga

I am a Data Analyst who is passionate about using data to drive strategic business decisions. Very analytical and equally well-spoken. A dynamic ability to communicate effectively at many levels to achieve the necessary results. Knowledgeable but always willing to learn. Ability to solve issues by thinking outside the box. Works well with other colleagues and continually strives for excellence.

Operationally and commercially experienced. Always looking to improve efficiency and quality from a customer point of view. Flexible, very positive and a "can do" attitude. Excellent decision-making capabilities. A good sense of humor, approachable, customer service minded, 

Here are some of my brand attributes:

Personality: 
I am a confident, results-oriented, and data-driven professional. I am also a creative problem-solver and a team player.
Audience: 
I am targeting businesses that are looking for a data analyst who can help them improve their bottom line.
Impact: 
I want to make a positive impact on businesses by helping them use data to make better decisions.
Delivery:
I am a clear and concise communicator who is able to deliver complex data in a way that is easy to understand.

Data Collection Tools:
Actively involved in designing, customizing, training, and deploying ongoing data collection tools, including Google Forms, ODK, and Kobo Toolbox.

Data Processing and Analysis:
Continuously cleanse and transform data using Microsoft Excel, Python, and Google Sheets.
Apply advanced techniques in clustering, regression, pattern recognition, descriptive, and inferential statistics for real-time insights.

Database Management:
Maintain proficiency in SQL for seamless interaction with relational databases, ensuring ongoing data integrity and accessibility.

Reporting and Visualization:
Regularly create visually appealing dashboards using Tableau, Power BI, and Excel.
Translate evolving complex data sets into actionable insights for stakeholders.

Statistical Analysis:
Utilize Python and MATLAB for ongoing in-depth statistical analysis.
Continuously develop data-driven solutions to improve operational efficiency and foster revenue growth.

Ongoing Contribution:
Play a pivotal role in the ongoing end-to-end data lifecycle, from collection to real-time visualization.
Demonstrate ongoing versatility in using a diverse set of tools and techniques for informed decision-making.Data Collection Tools: Actively involved in designing, customizing, training, and deploying ongoing data collection tools, including Google Forms, ODK, and Kobo Toolbox. Data Processing and Analysis: Continuously cleanse and transform data using Microsoft Excel, Python, and Google Sheets. Apply advanced techniques in clustering, regression, pattern recognition, descriptive, and inferential statistics for real-time insights. Database Management: Maintain proficiency in SQL for seamless interaction with relational databases, ensuring ongoing data integrity and accessibility. Reporting and Visualization: Regularly create visually appealing dashboards using Tableau, Power BI, and Excel. Translate evolving complex data sets into actionable insights for stakeholders. Statistical Analysis: Utilize Python and MATLAB for ongoing in-depth statistical analysis. Continuously develop data-driven solutions to improve operational efficiency and foster revenue growth. Ongoing Contribution: Play a pivotal role in the ongoing end-to-end data lifecycle, from collection to real-time visualization. Demonstrate ongoing versatility in using a diverse set of tools and techniques for informed decision-making.

The Google Advanced Data Analytics Professional Certificate is an online program that teaches how to use advanced data analytics techniques to solve real-world problems. The program covers topics such as :
Machine learning,
Predictive modeling,
Experimental design. 
It is designed for professionals who want to advance their careers in data analytics or data science. Upon completion of the program, i will be able to :
Collect and Analyze large amounts of data, 
Use machine learning to build predictive models,
Design and conduct experiments to test hypotheses, 
Communicate my findings to stakeholders.The Google Advanced Data Analytics Professional Certificate is an online program that teaches how to use advanced data analytics techniques to solve real-world problems. The program covers topics such as : Machine learning, Predictive modeling, Experimental design. It is designed for professionals who want to advance their careers in data analytics or data science. Upon completion of the program, i will be able to : Collect and Analyze large amounts of data, Use machine learning to build predictive models, Design and conduct experiments to test hypotheses, Communicate my findings to stakeholders.