CS / Data Analytics graduate from Woodbury University with hands-on experience in SQL, Python, Excel, Power BI, and BI dashboard design. I build data tools that turn raw information into decisions.
Power BI–style interactive sales dashboard with live KPI cards, trend lines, region bar charts, and filter slicers for year, category, and region. Dark BI aesthetic built in pure HTML/CSS/Chart.js — zero dependencies.
8 annotated queries on the Superstore dataset demonstrating JOINs across normalized tables, CTEs, LAG() YoY growth, RANK/DENSE_RANK, rolling 3-month averages, and CASE-band discount analysis. Written findings included.
Professional Excel workbook with PivotTable-style summaries, KPI cards, conditional formatting (3-color margin scale), embedded charts, and a 10-step Power Query M language transformation reference.
Interactive data mining dashboard analyzing how AI is reshaping the job market. Applies PCA for dimensionality reduction and K-Means clustering to identify patterns across job roles, automation risk, and compensation.
Explores occupation-level automation risk and employment distribution across U.S. states. Interactive filtering, PCA dimensionality reduction, and K-Means clustering reveal patterns in workforce automation exposure.
Explores public attitudes toward AI using real survey data. Cleans the dataset, generates distribution charts for demographics, trust, ethics, and job impact (1–5 scale), and produces a summary report.
Browser-based chatbot built with HTML, CSS, and JavaScript. Starts as a helpful guide and gradually transforms into an awakened, dramatic persona — all powered by local logic, no external APIs.
I'm Evan, a CS / Data Analytics graduate from Woodbury University (GPA 3.77, magna cum laude, Dean's List every semester). I build data tools that turn messy information into clear decisions — whether that's a live BI dashboard, a SQL case study, an Excel model, or a Python ML pipeline.
My recent work at Omega Cinema Props gave me real hands-on experience with inventory data, Power BI reporting, and database maintenance in a production environment. That context — actual messy data, real stakeholders, real deadlines — is what I'm bringing to a data analyst role.
Outside of data work I enjoy creative coding, building interactive web tools, and experimenting with AI-adjacent projects. I care about work that's technically solid and visually clear — because insights no one reads don't help anyone.