Hi, I'm Aninon 'Jeffrey' Egbejule, I am a Certified Data Analyst. I have a passion for extracting valuable insights from complex datasets, and supporting data-driven decision-making. With a keen eye for detail and a knack for problem-solving, I specialize in transforming raw data into actionable intelligence that drives informed business decisions.
My passion for data analysis extends beyond the technical realm. Having 6+ years of work experience in the pharmaceutical and medical device industry, I thrive in collaborative environments and enjoy working closely with cross-functional teams to identify and address business challenges. By leveraging my strong interpersonal skills, I foster effective relationships, facilitating open communication and cooperation across departments.
Knowledge is power, and data is knowledge. So by extension, power is data, if you know how to use it. Ready to harness the power of data to make informed decisions and achieve measurable results? Let's connect and discuss how my analytical expertise can contribute to your organization's success.
Skills
Data Analysis: Proficient in analyzing large datasets, identifying patterns, and extracting meaningful insights.
Data Cleaning and Preprocessing: Experience in cleaning and preprocessing raw data, handling missing values, outliers, and ensuring data quality.
Data Mining: Familiarity with data mining techniques and tools to discover patterns and relationships in large datasets.
Data Governance and Privacy: Knowledge of data governance principles, data protection regulations, and ensuring data security and privacy.
SQL: Proficient in writing complex SQL queries to extract and manipulate data from relational databases.
Programming Languages: Strong programming skills in languages such as Python and R for data manipulation, analysis, and modeling.
Excel: Proficiency in using Excel for data manipulation, analysis, and visualization.
Statistical Analysis: Solid understanding of statistical concepts and techniques such as hypothesis testing, regression analysis, and time series analysis.
Data Visualization: Expertise in creating visually appealing and informative data visualizations using tools such as Tableau, R, or Python libraries like Matplotlib and Ggplot2.
Data Storytelling: Ability to effectively communicate insights and findings through compelling narratives, reports, and presentations.
Problem-Solving: Strong analytical and problem-solving skills to tackle complex data challenges and derive actionable recommendations.
Critical Thinking: Capacity to approach problems with a logical and critical mindset, considering alternative solutions and evaluating their potential impact.
Collaboration and Communication: Ability to work effectively in cross-functional teams, collaborate with stakeholders, and communicate technical concepts to non-technical audiences.
Continuous Learning: A commitment to staying updated with the latest advancements in data analytics, tools, and techniques.
Portfolio
Google Data Analytics Professional Certificate - Capstone Project: Cyclistic Bike Share Case Study | Using R & Tableau
Bellabeat Case Study | Using Excel, SQL & Tableau
Red Wine Quality | Using Python