Gabriel Anyakwo
Kennesaw,GA
Summary
Energetic and friendly with strong ability to provide excellent customer service and maintain welcoming store environment. Possesses basic knowledge of inventory management and cash handling, ensuring accurate and efficient transactions. Committed to supporting positive shopping experience and maintaining well-organized shelves.
In dynamic and fast-paced environment, developed skills in data analysis, problem-solving, and strategic thinking. Excel in interpreting complex data sets and delivering actionable insights to support business objectives. Seeking to transition into new field where these transferrable skills can drive meaningful impact and innovation.
Positive and analytical with knack for turning data into actionable insights. Comprehensive understanding of statistical analysis and data visualization tools such as SQL and Tableau. Dedicated to leveraging data-driven strategies to drive success and innovation.
Results-driven data professional with keen eye for detail and passion for uncovering actionable insights from data. Proven track record of utilizing data analysis and visualization tools to drive business decisions and optimize processes. Team-oriented with strong focus on collaboration and adaptability, consistently delivering reliable results in dynamic environments.
Overview
1
1
Certification
Work History
Data Analyst
St.Theresa's Obgyn
Snellville, GA
12.2025 - Current
- Assisted in developing and maintaining dashboards for real-time data visualization.
- Collaborated with healthcare staff to streamline data collection processes.
- Conducted routine quality checks to ensure accuracy of patient information.
- Supported project initiatives by compiling and presenting analytical reports.
- Adapted quickly to new software tools for enhanced data management efficiency.
- Analyzed data trends to support business decision-making processes.
- Collaborated with cross-functional teams to gather and validate data requirements.
- Developed reports using SQL to communicate insights effectively to stakeholders.
- Conducted research to identify opportunities for operational improvements.
- Managed data entry tasks ensuring accuracy and consistency across databases.
- Participated in meetings to discuss data findings and actionable recommendations.
- Supported project teams by preparing documentation and presentations of analysis results.
- Increased data accuracy by implementing thorough data validation and cleansing processes.
- Built relationships and influenced and motivated employees to drive operational improvements.
- Standardized data collection procedures across departments, ensuring consistent data quality and enabling seamless integration of new datasets.
Education
BBA - Finance
Kennesaw State University
Kennesaw, GA05-2027
Skills
- Data visualization and presentations
- Data analysis
- Python programming
- Excel functions
- SQL
- Data cleaning
- SQL databases
- Analytical problem solving
- Statistical analysis
- Tableau
- Attention to detail
- Database management
- Data validation
- R programming
- Project management
- Database maintenance
- Report preparation
Accomplishments
- Completed end-to-end data analysis projects using real-world datasets
- Applied statistical methods and data visualization to answer business questions
- Built dashboards using Tableau / Power BI to communicate insights effectively
- Performed data validation and preprocessing to ensure high-quality outputs
- Delivered insights and recommendations based on quantitative analysis
- Analyzed structured datasets using SQL and Excel to identify trends, anomalies, and performance gaps
- Cleaned and transformed raw data to improve accuracy, consistency, and usability for analysis
- Built dashboards and reports that visualized KPIs and simplified decision-making for stakeholders
- Used Python (Pandas, NumPy) to automate data cleaning and analysis tasks, reducing manual effort
- Conducted exploratory data analysis (EDA) to uncover insights that supported business or project goals
- Translated complex analytical findings into clear, actionable insights for non-technical audiences
- Assisted in tracking key metrics and performance indicators to support data-driven decisions
- Identified data inconsistencies and implemented fixes to improve data quality and reliability
- Collaborated with team members to define data requirements and reporting needs
- Presented analysis results through charts, summaries, and written repor
Certification
- Python for Data Science and AI – IBM
- Applied Data Science with Python – University of Michigan
- Data Analysis with Python – freeCodeCamp
- Python Data Structures – Coursera
- Google Data Analytics Professional Certificate
- IBM Data Analyst Professional Certificate
- Microsoft Certified: Power BI Data Analyst Associate (PL-300)
- Microsoft Certified: Data Analyst Associate
- CompTIA Data+SQL for Data Analysis – Coursera
- Advanced SQL for Data Scientists – Coursera
- Microsoft Azure Data Fundamentals (DP-900)
- Tableau Desktop Specialist
- Tableau Data Analyst Certification
- Power BI Data Analyst Associate (PL-300)
- Data Visualization with Python – IBM
- Statistics for Data Science – Coursera
- Business Analytics – Wharton (Coursera)
- Data Analysis and Statistical Inference – Duke University
- Oracle SQL Certification
Timeline
Data Analyst
St.Theresa's Obgyn
12.2025 - Current
BBA - Finance
Kennesaw State University