Beverlyn Tucker

Hi, my name is Beverlyn Tucker, and I work as Senior Data Analyst at I hold a Master of Applied Data Science (Syracuse University School of Information Studies).
I got interested in data when I was working as a quality technician. Data is the output of the daily activities. Then later, I became an Internal auditor at Boeing. I utilized data in my audit; these give me a fascination and how data is interconnected to each process. This fascination leads me on the journey as a Data Scientist.

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Summary 
With a strong foundation in emotional intelligence, I have built lasting personal relationships throughout my career, from the Philippines to Boeing. As a versatile and performance-driven leader, I bring extensive experience in management and leadership, along with expertise in data science, root cause analysis and process audit from manufacturing to supplier. I help leaders make data-informed decisions that provide clear insights into operational performance and areas for improvement.

I employ Scrum and Agile methodologies to manage projects, improve performance, and reduce backlogs. Data plays a crucial role in answering key business questions, assessing process capabilities, and conducting audits. I motivate and mentor teams to enhance overall efficiency, performance, and regulatory compliance.

My commitment to excellence is reflected in my objective approach to audits and process improvements. I thrive under pressure, continuously analyzing and refining processes to deliver value to the organization while ensuring customer satisfaction.

 

Business Tools
Proficient in using SQL for database management and Tableau for data visualization, enabling better decision-making. I have applied various data science techniques, including data analytics, big data analysis, and text data mining. I have utilized TensorFlow for predictive modeling, executed predictive analysis, and employed Natural Language Processing (NLP) for text analysis. Additionally, I have implemented algorithms such as Gaussian Naive Bayes, Support Vector Machines, Decision Trees, k-Nearest Neighbors, Random Forests, time-series models, and neural networks. Tools like Apriori, ggplot, and clustering methods have been integral to my work in association rule mining and data visualization.

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Analytical Skills & Abilities
Experienced in machine learning, predictions, R, Python, complex SQL queries, data investigation, Tableau dashboarding, and data analysis. I am detail-oriented and focused on compliance, operational business processes, and regulatory requirements. My ability to organize, synthesize, and analyze data enables me to summarize findings, develop actionable conclusions, and provide clear recommendations.

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Data Visualization
Expertise in leveraging Tableau and SQL for real-time data visualization, simplifying complex datasets, and highlighting patterns. These visualizations support more informed decision-making by identifying areas that need attention or improvement.

Strengths

• Business Intelligence & Analytics: Support leaders in making data-driven decisions to promote transparency, accountability, and customer satisfaction.

• Leadership: Lead by example, inspire others, and hold team members accountable.

• Technical: Skilled in auditing, project management, and analytics.

• Talent: Recognize and optimize employee abilities to boost efficiency.

• Interpersonal: Excel in relationship building, team coaching, cross-functional collaboration, and providing feedback.

• Personal: Highly goal-oriented, customer-focused, and adept at multitasking with attention to detail.

 

Problem Solving
Proficient in using analytical tools such as the 5 Whys, SWOT analysis, Eight Steps, and the Ishikawa diagram to identify root causes and implement best practices for continuous improvement.

 

Knowledge & Expertise
Expertise in SQL queries, Tableau dashboarding, data investigation, root cause corrective action, compliance regulations, engineering, operations, and risk assessment methodologies. I am well-versed in AS9100 standards, Boeing’s Quality Management System, and various regulatory compliance requirements.