Data analysis
Analyze complex datasets to identify trends, uncover meaningful insights, and translate raw information into clear recommendations that support informed decision-making.
Business Intelligence · Data Analytics · Computer Science
Turning complex data into clear business decisions.
I build reports, dashboards, and analytical solutions that help teams understand customer behavior, uncover trends, and act with confidence.
About me
Analytical thinking with a builder’s mindset.
I am a Business Intelligence Analyst with a strong background in data analysis, technology, and customer experience reporting. I use SQL, Teradata, Google BigQuery, Looker, Qlik, and Tableau to analyze large datasets, develop dashboards, track key performance indicators, and translate complex information into clear, actionable insights for leadership and cross-functional teams. I also work with Python for data analysis and have experience developing predictive models to explore patterns, evaluate potential outcomes, and support data-driven decision-making. Additionally, I use AI tools such as Google Gemini and NotebookLM to improve reporting, organize information, identify themes, and increase the efficiency of my analytical workflows.
My educational background includes degrees in Computer Information Systems, Computer Science, and Information Systems and Technology, giving me a broad understanding of data, software development, databases, predictive analytics, and web technologies. I am a detail-oriented, adaptable, and bilingual professional who enjoys solving problems, learning new technologies, and building practical solutions that make information easier to understand and use. Whether I am developing a report, creating a dashboard, building an analytical model, supporting a business request, or developing a digital project, I approach my work with curiosity, organization, and a focus on delivering meaningful results.
Business intelligence
Develop dashboards, reports, and data-driven solutions that improve visibility, measure performance, and help stakeholders make confident strategic decisions.
Automation
Streamline recurring processes through automated reporting, scheduled workflows, and efficient data solutions that reduce manual effort and improve accuracy.
AI Collaboration
Leverage AI-powered tools to streamline research, accelerate problem-solving, improve productivity, and support more efficient, data-informed workflows.
Core tools and technologies
SQL
BigQuery
Teradata
Looker
Tableau
Qlik
Google Cloud
Python
HTML
CSS
JavaScript
Data Visualization
Dashboarding
Automation
Experience
Work that connects data to decisions.
Business Intelligence Analyst
I use SQL and data visualization tools to analyze large customer experience datasets, track key performance indicators, and develop dashboards and reports for leadership. I translate complex data into actionable insights, fulfill stakeholder reporting requests, and leverage AI tools to improve the speed and efficiency of my analytical workflows.
- Write and optimize SQL in Teradata and BigQuery across datasets containing thousands to millions of records using CTEs, joins, subqueries, aggregations, and stored procedures.
- Analyze churn, disconnects, retention, tenure, repeat contacts, dissatisfaction, promotional adoption, and lifecycle behavior; calculate churn rates and identify attrition pain points.
- Manage incoming data and reporting requests through an intake process, delivering raw datasets, ad hoc analyses, recurring reports, or interactive dashboards based on stakeholder needs.
- Support promotional analysis by tracking customer contacts, offer performance, issue trends, and other KPIs following the release of new promotions.
- Leverage Google Gemini and NotebookLM to enhance research, organize reporting inputs, identify key themes, refine written insights, and streamline recurring analytical workflows.
- Use Python and Domino to connect to databases, automate analytical workflows, schedule recurring processes, execute queries, and distribute team outputs.
- Collaborated with customer experience and leadership in Agile/Scrum environments to translate business needs into analytical solutions.
- Apply forecasting and predictive methods through professional work, including time-series forecasting, regression, decision trees, and classification metrics.
Business Intelligence Analyst - Apprentice
I supported the development of dashboards, reports, and data requests by using SQL and business intelligence tools to analyze customer experience and promotional data. I also assisted with KPI tracking, data validation, and translating analytical findings into clear insights for business stakeholders.
- Supported SQL query development in Teradata and Google BigQuery to extract, validate, and analyze customer interaction, promotional, and customer-experience data.
- Assisted with recurring reports, ad hoc data requests, dashboard updates, and data-quality validation for analysts, senior managers, and business stakeholders.
- Collaborated with analysts and senior managers to gather requirements, investigate customer trends, document processes, and build familiarity with Looker, Qlik, Tableau, Google Workspace, and Verizon data environments.
Technician
Provided technical, operational, and data-entry support while maintaining accurate digital records and delivering detailed service recommendations to clients.
- Provided clients with detailed assessments and recommendations, enabling them to make informed decisions about available services.
- Accurately and systematically updated information within the company’s software systems.
- Performed data entry using internal software, Excel, and Microsoft Office.
- Operated effectively in a fast-paced environment, both independently and as part of a team.
- Managed and maintained clients’ digital products to ensure functionality and customer satisfaction.
- Rebooted and troubleshot software for digital products.
Featured projects
Selected technical work.
The Daily Roar
The Daily Roar is a staff-facing email broadcasting platform designed to distribute informative news and announcements to large groups of users from an uploaded dataset. The system also tracks recipient engagement, helping staff better understand how users interact with the content they receive.
Audio-to-MIDI Transcriber
web application that uses a machine learning neural network to convert uploaded MP3 audio into MIDI notation. Users can listen to the original audio, follow the generated transcription through an interactive piano roll, and download the completed MIDI file directly from the browser.
The Hidden Gem
is an interactive tourism website that helps users discover lesser-known attractions, events, and destinations throughout New Jersey. Using mapping technologies such as Google Maps and Mapbox, the platform provides location-based information to help visitors explore new places and plan activities across the state.
Certifications and awards
Continuous learning and recognition.
Certification
Google AI Professional Certificate
Google · 2026
Credential ID: 2B8UWW6HY707
View credential
Education
Academic foundation and continued development.
Union, NJ
09/2022 - 12/2023
Kean University
Master of Science in Computer Information Systems | GPA: 3.63
- Developed advanced expertise in information systems strategy, database management, systems analysis, and technology-driven decision-making.
- Gained the ability to evaluate business needs and design scalable technical solutions that improve organizational processes and performance.
- Strengthened leadership, project management, data analytics, and cybersecurity knowledge for managing complex technology initiatives across business environments.
Union, NJ
09/2020 - 05/2022
Kean University
Bachelor’s of Science Degree in Computer Science | GPA: 3.63
- Built a strong foundation in software development, algorithms, data structures, database systems, and computer architecture.
- Gained experience designing, developing, testing, and maintaining applications using multiple programming languages and development methodologies.
- Strengthened analytical thinking and problem-solving skills for creating efficient technical solutions to complex computing and business challenges.
- Cum Laude Honors Graduate
- Dean's List Honoree
- Lambda Alpha Sigma Honors List
Branchburg, NJ
09/2017 - 05/2020
Raritan Valley Community College
Associate of Science Degree in Information Systems & Technology | GPA: 3.18
- Developed foundational knowledge in information systems, computer hardware, networking, database management, and technical support.
- Gained practical experience using software applications and technology tools to support business operations and improve workplace efficiency.
- Strengthened troubleshooting, problem-solving, and communication skills for assisting users and maintaining reliable information technology systems.
- Dean's List Honoree
North Plainfield, NJ
09/2014 - 06/2017
North Plainfield High School
High School Diploma | GPA: 3.59
- Built a strong academic foundation in mathematics, science, computer applications, and analytical problem-solving.
- Gained introductory experience using digital tools, researching information, organizing data, and presenting findings clearly.
- Developed communication, collaboration, time management, and critical-thinking skills that support continued education and technology-focused careers.
- Demonstrated adaptability and digital literacy by learning new technologies, interpreting information, and applying logical reasoning to academic projects and real-world problems.