Tony Amoateng
McDonough,GA
Summary
Eager to leverage 2 years of experience in data-driven environments as a Data Analytics Intern. Proficient in extracting insights through analytics and adept at creating impactful data visualization. Seeking to apply meticulous attention to detail and analytical skills to facilitate data-driven decision-making.
Overview
3
3
years of professional experience
1
1
Certification
Work History
Warehouse Operations Associate
Rapid Courier
Atlanta, GA
05.2022 - Current
- Verify package integrity and match contents with packing lists, alerting customers and vendors of any discrepancies or damages
- Prepare shipments by ensuring proper packaging, labeling, and documentation for efficient and compliant processing
- Coordinate with carriers and internal departments to facilitate accurate and timely order shipment and delivery
- Conduct maintenance checks on warehouse equipment and provide training to new staff on operational procedures and safety standards
Education
BBA - Computer Information Systems | Data Analytics
Georgia State University
Atlanta, GA05.2026
Skills
- Data Analysis & Visualization: Proficient in SQL, Python (pandas, Matplotlib), Tableau, and Excel
- Reporting & Insights Generation: Competent in translating raw data into actionable insights, particularly in identifying key drivers of cost variation in datasets
Certification
Codecademy | Business Intelligence Data Analyst Career Path
- Learned SQL, Python, and data visualization with Tableau and Excel
- Developed skills in data cleaning, manipulation, and dashboard creation
- Completed projects involving data analysis and interpretation
Affiliations
U.S. Medical Insurance Costs Analysis:
- Data Analysis: Analyzed U.S. medical insurance dataset to uncover key cost drivers like age, BMI, and smoking status, using Python (pandas, NumPy).
- Statistical Techniques: Applied descriptive statistics and correlation analysis to assess variable impact on premiums, demonstrating strong quantitative analysis skills.
- Data Cleaning & Preprocessing: Ensured data integrity by managing missing values, standardizing data types, and preparing data for accurate insights.
- Data Visualization: Developed visualizations (scatter plots, histograms) using Matplotlib to communicate trends and patterns effectively for data storytelling.
- Insight Generation: Delivered actionable recommendations based on findings, emphasizing data-driven decision-making for potential applications inpricing strategy.
Timeline
Warehouse Operations Associate
Rapid Courier
05.2022 - Current
Codecademy | Business Intelligence Data Analyst Career Path
- Learned SQL, Python, and data visualization with Tableau and Excel
- Developed skills in data cleaning, manipulation, and dashboard creation
- Completed projects involving data analysis and interpretation
BBA - Computer Information Systems | Data Analytics
Georgia State University
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