Data Analyst Business Intelligence

Bryson Veal

****************@*****.*** LinkedIn +1-678-***-**** Douglasville, GA

SUMMARY

Data Analyst with 2+ years of experience specializing in data visualization, AI-driven analytics, and business intelligence. Expertise in leveraging Python, SQL, Tableau, and Power BI to develop interactive dashboards, optimize data retrieval by 40%, and improve reporting accuracy by 25%. Proven ability to translate complex data into actionable insights that increase user engagement by 15% and support strategic decision-making. Seeking to apply a strong technical skill set and approach to a challenging Data Analyst role.

Core Competencies: Data Analytics and Visualization Machine Learning Fundamentals Business Intelligence and KPI Reporting SQL Querying and Data Modeling Statistical Analysis Agile Methodologies Cross-Functional Collaboration

TECHNICAL SKILLS

Programming & Databases: Python (NumPy, Pandas), JavaScript, SQL, C, MATLAB, PSPICE, Assembly Language

Data Visualization & BI Tools: Tableau, Microsoft Power BI, ThoughtSpot, Excel (PivotTables, Charts, Power Query)

Data Analysis & Methods: Data Analytics, Data Mining, Statistical Analysis, Predictive Modeling, Agile Methodologies, Scrum

AI & Machine Learning: Artificial Intelligence (AI), ChatGPT, Natural Language Processing (NLP)

Systems & Hardware: Microcontrollers (STM32), Embedded Systems, Robotics, Robotic Navigation, Locomotion Algorithms

Cloud Platforms & Services: AWS (SageMaker, Glue, Redshift, Lambda, S3, Bedrock, QuickSight), Azure (Data Factory, Synapse Analytics), GCP (Vertex AI, BigQuery, Looker)

DevOps & Version Control: Git, GitHub Actions, Docker, Kubernetes, CI/CD

WORK EXPERIENCE

Data Analyst, AT&T, Remote July 2024 – Present

Optimized customer churn prediction models by implementing advanced SQL queries and Python scripts, resulting in a 15% increase in forecast accuracy and enabling retention campaigns.

Analyzed network performance data across a 5-state region, identifying key bottlenecks and informing infrastructure upgrades that reduced average outage duration by 20%.

Developed and integrated a comprehensive Tableau dashboard to track key performance indicators (KPIs) for sales and marketing, reducing manual reporting time by 10 hours per week.

Executed A/B testing on promotional campaign strategies, leading to data-driven recommendations that improved customer acquisition conversion rates by 12%.

Collaborated with cross-functional engineering and marketing teams to define data requirements, ensuring data integrity and improving the quality of reporting datasets by 25%.

Data Analyst, Northern Trust, Remote July 2023 – June 2024

Automated the extraction and aggregation of daily asset valuation data using Python and SQL, reducing manual processing time by 15 hours per week and minimizing reconciliation errors.

Built and maintained interactive Power BI dashboards to monitor portfolio performance and risk exposure for investment managers, enhancing real-time decision-making capabilities.

Conducted deep-dive analysis on client transaction data to identify patterns and anomalies, leading to a 10% improvement in fraud detection model accuracy.

Streamlined regulatory and client reporting processes by implementing streamlined data pipelines, ensuring 100% on-time delivery and improving data accuracy by 20%.

Collaborated with compliance and portfolio management teams to define key metrics and data requirements, ensuring adherence to strict financial data governance standards.

Research Assistant Intern, Georgia Tech Research Institute, Atlanta, GA May 2023 – June 2023

Engineered the integration of STM32 microcontrollers with mobile robotic systems, enhancing robotic navigation precision by 30% through low-level hardware control and sensor data processing.

Developed and implemented advanced locomotion algorithms in C, reducing robotic system localization error by 25% and significantly improving operational accuracy.

Prototyped and rigorously tested custom hardware components, resulting in a 20% performance increase for critical robotic appliances and systems.

Conducted in-depth research on emerging technologies in robotics and embedded systems, delivering actionable insights that directly influenced project direction and tool selection.

Mechanized cross-functional team communication by leading structured weekly syncs, accelerating project progress and contributing to the early completion of key milestones.

EDUCATION

North Carolina Agricultural and Technical State University, Greensboro, NC

Bachelor of Science in Computer Engineering; 3.18/4.0 GPA, May 2025

CERTIFICATIONS

Agile Foundations — LinkedIn Learning Issued Aug 2025

Tableau 2024.1: Essential Training — LinkedIn Learning Issued Aug 2025

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