Data Analytics • Data Engineering • BI • Product & Operations
Data & Analytics Professional working at the intersection of data, systems, and business decisions, from SQL analysis and dashboards to process and product insights.
I build practical projects that combine data analysis, data engineering fundamentals, stakeholder reporting, and cloud deployment.
ABOUT ME
I am a Management Information Systems graduate (Dean’s Award for Academic Excellence) who works across two connected areas: data analytics & engineering, which is building pipelines, models, and analysis on top of data, and business & systems analytics, which is turning that data into product, operations, and process decisions.
My background combines technical learning, business coursework, and hands-on project work. I enjoy working with data, cleaning messy information, finding useful patterns, and presenting results in a simple way that helps people make better decisions.
My core toolkit is SQL, Python, Tableau, Power BI, Excel, ETL pipelines, dashboard design, and stakeholder/KPI reporting. I move comfortably between technical data work and business-facing analysis, which is why I look at roles spanning both sides of that line.
I build dashboards, web tools, business case studies, and analytics projects using Power BI, SQL, Excel, Python, JavaScript, GitHub, and AWS.
I am focused on roles across data analytics & engineering and business/systems analytics, in places where I can connect data to real product, operations, and process decisions.
SKILLS
PROJECTS
Finance • AI • Analytics
Built an AI-powered FP&A workflow automation project to analyze budget vs actuals, revenue, expenses, profit trends, and business performance metrics. The project combines Python data pipelines, Streamlit dashboards, financial variance analysis, and AI-generated commentary to help users understand performance and make better financial decisions.
View Project →Power BI • Analytics
Built an interactive Power BI dashboard using a BMW car sales dataset with 10,000+ records. Cleaned and analyzed vehicle data by model, year, mileage, fuel type, transmission, engine size, and price. Created KPI cards, slicers, and visual comparisons to identify pricing patterns, high-value models, and resale trends. The dashboard helped convert raw vehicle data into clear product and business insights for pricing, inventory planning, and customer preference analysis.
View Project →Web App • Job Search
Built a multi-page job application tracking web app to organize applications, companies, interviews, resumes, reminders, and job-search analytics in one place. Designed separate pages for dashboard tracking, applications, companies, interviews, resumes, profile, and reminders. The project improved my front-end development, workflow design, and dashboard thinking by turning a messy job-search process into a structured tracking system.
View Project →Python • NLP
Created a Python-based NLP project to classify social text data into sentiment categories using training and testing datasets. Worked with text preprocessing, CSV data handling, model testing, and sentiment classification logic to identify positive, negative, and neutral patterns. The project helped me understand how raw feedback data can be turned into product-relevant insights for customer feedback, brand monitoring, and social media analysis.
View Project →Web Form • Healthcare
Built a patient registration form for a healthcare use case using HTML, CSS, and JavaScript. Designed structured input fields for patient details and added validation to improve accuracy, completeness, and user experience. The project focused on clean form layout, required-field logic, data-entry flow, and a practical front-end interface that could support basic medical intake workflows.
View Project →Business Analysis • PM
Developed a project management case study for an accounts receivable automation system with a business-focused implementation plan. Created scope documentation, project charter, stakeholder analysis, WBS, risk planning, and project control documents. The case focused on improving collections, reducing overdue accounts, increasing reporting visibility, and supporting finance teams through structured project planning.
View Project →PM • Business Case
Created a full project management case study for a digital wellness intranet project with a planned budget of $252,080. Developed key planning documents including a project charter, WBS, cost estimate, stakeholder register, RACI matrix, risk register, and communication planning materials. The project showed how scope, schedule, cost, stakeholders, and risk can be organized for a business technology implementation.
View Project →EXPERIENCE
Supported business and finance operations for University of Houston Administration & Finance Business Services while working up to 20 hours per week. Assisted with voucher processing, data entry, Excel tracking, PDF documentation, and PeopleSoft-related record updates. Helped maintain organized administrative and financial records, improving day-to-day workflow accuracy and supporting smoother processing of department business tasks.
Supported a large undergraduate business course with grading, Canvas communication, student support, discussion sessions, and course administration. Assisted with assignment tracking, student questions, grading updates, and course communication for 250+ students, helping improve turnaround time, consistency, and organization during high-volume submission periods.
Owned data analysis across 8 product/SKU categories and multiple departments (sales, operations, finance), using SQL and Python to extract, clean, and model cross-system data, surfacing 3 underperforming product lines and cutting data error rates by ~35%. Partnered directly with operations, sales, and finance leadership to translate findings into restocking, pricing, and process decisions, and defined cross-functional KPIs (SKU velocity, error/defect rates, restocking cycle time) that gave stakeholders across the business consistent visibility into performance.