Okwuchukwu Frankline Onuoha

Okwuchukwu Frankline Onuoha Email:-LinkedIn: www.linkedin.com/in/frankline-onuoha-4b- GitHub: https://github.com/Okwy009/ Data Analyst Detail-oriented Data Analyst with over one year of experience in collecting, analyzing, and interpreting large datasets. Proficient in SQL, Python, and Excel with a solid understanding of data visualization and statistical analysis. Proven ability to turn data into actionable insights to drive business decisions. TECHNICAL SKILLS Programming Languages: Python Database Management: SQL, PostgreSQL Data Visualization: Tableau, Power BI, Matplotlib, Seaborn Data Analysis: Excel, Pandas, NumPy Tools: Jupyter Notebook, Git, GitHub Soft Skills: Analytical Thinking, Problem-Solving, Attention to Detail, Communication Professional Experience Junior Data Analyst [Onclets Aluminium Resources] - [Lekki, Lagos] [Jan, 2024] - Present Analyzed large datasets with SQL and Python, leading to a 15% increase in customer retention. Created Tableau dashboards that improved management decision-making. Performed A/B testing and statistical analysis to optimize marketing campaigns, resulting in a 10% conversion rate increase. Developed Python scripts to automate ETL processes, reducing manual efforts by 20%. Junior Data Analyst [Rivalum Aluminium Co.] - [Ojo, Lagos] [January 2023 - December 2023] Assisted with data collection, cleansing, and preparation, ensuring data integrity. Created ad-hoc reports using Excel and SQL, contributing to various business initiatives. Developed predictive models to forecast sales, leading to a 5% revenue increase. Conducted competitor analysis that informed marketing strategy adjustments. Education Bachelor of Technology in Physics Federal University of Technology, Owerri - Owerri, Imo State April, 2024 Certifications Data Analytics Essentials - Cisco Networking Academy - 2024 Python Essentials - Cisco Networking Academy - 2024 Projects Trending Skills Analysis for Data Analysts in 2023 with Python Developed a project to analyze and identify top-paying and in-demand skills for Data Analysts in 2023. Utilized Pandas for data manipulation, Seaborn and Matplotlib for visualization, enabling efficient analysis. The project provided insights into trending skills, helping to identify optimal job opportunities in the data industry. Nurse Staffing Data Analysis Analyzed staffing levels across U.S. nursing homes to identify regions with a high dependency on contract nursing staff. Pinpointed nursing homes with lower staffing levels, suggesting them as potential clients for Clipboard Health’s staffing solutions. Identified regions with high competitor presence and suggested strategies to differentiate Clipboard Health in these markets. Investigated the relationship between contractor staffing levels and facility quality scores, offering insights into how staffing models impact care quality. Created visualizations to support analysis and provide recommendation for the sales team. Data Cleaning With Excel Developed a project to analyze Bike Sales Data and create Visualizations showing the products with the most revenue. Utilized Excel for Data Cleaning and Tableau for Visualization This project analyzes sales data, identifies trends and creates visualizations to present your findings. Investigating Data Job Market With SQL Developed a project to understand the top paying data analyst jobs and the skills required for these jobs. Identifying skills most frequently requested in job postings. Utilized SQL for querying the database, PostgreSQL for the database management system, Visual Studio Code for executing the queries, Git and GitHub for version control. This project identifies high-paying and in-demand skills, providing valuable insights for navigating the job market more effectively.