My Bio-Data

R Markdown

Introduction!

Hello, I am a data analytic engineer specializing in building and maintaining robust data pipelines and insightful visualizations. With a Master’s degree in Information Systems and a strong foundation in statistical modeling and data mining, I transform raw data into actionable intelligence. My expertise lies in designing efficient data models, applying machine learning techniques to uncover hidden patterns, and communicating complex findings to stakeholders in a clear and concise manner. I thrive in collaborative environments where I can leverage my problem-solving skills and programming proficiency to contribute to data-driven decision-making.

Academic Background

• B.S.C in Economics (University Of Jos, Nigeria)
• M.S.C in Data Analytics (DSTI School Of Engineering, Nice. France)
• M.S.C in Information Systems (University Of Cincinnati,Ohio.USA OH)

Professional Background

I am a Data Analytics Engineer with extensive experience applying analytics, database management, and information systems to solve organizational challenges. I am passionate about data and deeply curious about the revelations and insights it can unlock. This curiosity drives my continuous learning and exploration, every dataset is an opportunity to discover something new and valuable.

Currently pursuing a Master of Science in Information Systems at the University of Cincinnati,which help me expand my expertise to understand the full data lifecycle, from pipelines to warehousing and beyond. My goal is to build end-to-end data solutions that transform raw information into actionable knowledge, supporting innovation, efficiency, and meaningful impact across industries.

I have built some projects in R and some other programing languages which Includes:

• Using R markkdown to build Air bnb project at the masters level in France as Data Analyst graduate student
• Using Shiny to showcase the interactiveness of the project Here’s a stronger and more polished version of your Professional Background, aligned with your resume and highlighting your programming experiences:

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Professional Background

I am a Data Analytics Engineer with a strong background in designing scalable data infrastructure, building ETL/ELT pipelines, and leveraging analytics to solve complex organizational challenges. Skilled in SQL, Python, R, and dbt, I transform raw data into analytics-ready solutions that drive informed decision-making. My passion lies in uncovering insights from data, and I approach every dataset as an opportunity to deliver clarity, efficiency, and impact.

Currently pursuing a Master of Science in Information Systems at the University of Cincinnati, I am expanding my expertise across the full data lifecycle, from pipeline development to warehousing and analytics. My goal is to build end-to-end solutions that integrate technical precision with business needs, enabling innovation across industries.

My Experience with R and Other Programming Language:

• Creating an Airbnb analytics project in R Markdown at the master’s level in France, showcasing reproducible research and storytelling with data.
• Implementing R Shiny applications to showcase interactivity and enhance stakeholder engagement.
• Building interactive dashboards in Power BI, Tableau, and R Shiny to visualize insights effectively.
• Developing and optimizing dbt-powered ELT pipelines in Snowflake to reduce runtime and improve lineage tracking.
• Using Python (Pandas, NumPy, scikit-learn) for ETL processes and machine learning models.
• Creating an Airbnb analytics project in R Markdown at the master’s level in France, showcasing reproducible research and storytelling with data.
• Leveraging SQL for querying and transforming data across enterprise-level warehouses.