Anyanwu Johnson
Entry-Level Data Analyst | Business Analyst
Ikeja, NG.About
Resourceful and driven entry-level data analyst with one year of experience in leveraging comprehensive data analysis to inform strategic business decisions and enhance operational efficiency. Proficient in statistical analysis, data visualization, and developing robust data collection methodologies, with a strong focus on AI and predictive analytics. Eager to apply analytical prowess to solve complex business challenges and drive impactful outcomes in a dynamic environment.
Work
Remote, Virtual, ZZ
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Summary
Successfully completed a comprehensive data and business analyst internship, applying data-driven insights to inform strategic business decisions and optimize operational efficiency.
Highlights
Conducted comprehensive data analysis on large datasets to identify critical trends, patterns, and actionable insights, directly informing strategic business decisions.
Designed and implemented robust data collection methodologies, ensuring the accuracy, reliability, and integrity of data for subsequent analytical processes.
Identified and championed key areas for process improvement through data-driven insights, leading to enhanced operational efficiency and streamlined workflows.
Executed advanced statistical analyses, including regression analysis, hypothesis testing, and clustering on diverse datasets, to extract deep analytical insights.
Developed data-driven insights that directly contributed to an increase in customer retention rates, optimizing customer lifecycle management and engagement.
Proactively investigated and resolved critical data quality issues by performing root cause analysis on source systems, ensuring data integrity and reliability for downstream analytics.
Education
Boot Camp
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Boot Camp
Data Analytics
HP Life
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Online Course
Data Science and Analytics
Certificates
Cisco Data Analytic Essential
Issued By
Cisco
GenAI Powered Data Analytics
Issued By
Forage
Skills
Data Analysis & Science
Data Collection, Statistical Analysis, Business Analysis, Predictive Analytics, AI, Machine Learning, Regression Analysis, Hypothesis Testing, Clustering, Data Quality Management, Root Cause Analysis, Process Improvement.
Programming & Databases
Python, PyTorch, NumPy, Pandas, Matplotlib, SQL, Database Management, R-Regression.
Data Visualization & Tools
Tableau, Power BI, Microsoft Excel (Advanced Formulas, Pivot Tables), Google Spreadsheet, Data Visualization.
Machine Learning Frameworks
TensorFlow.