in Featured Projects on Python, Dashboard, Stock market, Financial marketLast modified at:
Python (os, glob, pandas, numpy) • Power BI • DAX • Deneb visuals • Power Query • ETL pipeline
This new version of Undervalued Stock Scanner is a complete architectural shift from my original system. What began as financial spreadsheet modeling has evolved into modular Python pipelines that automate data ingestion, statistical processing, valuation screening, and exit monitoring.
in Featured Projects on Excel, Vba macros, Dashboard, Stock market, Financial marketLast modified at:
Advanced Excel • Power Query • Power BI • VBA (Visual Basic for Applications) • Financial analytics • Stock fundametal analytics
Like many aspiring investors, my husband and I were drawn to the challenge of identifying undervalued stocks because they are like hidden gems with solid fundamentals that the market hasn’t caught up with yet. What started as a weekend project in Excel became a fully automated pipeline combining Power Query, VBA, and Power BI dashboards.
in Featured Projects on Regression, Socioeconomic data, Poverty, Census data, Public policyLast modified at:
Python (matplotlib, pandas, numpy, Requests, scikit-learn, scipy, seaborn, statsmodels) • Multiple linear regression • Hypothesis testing • Model validation • Robust standard errors (HC3) • API requests • JSON data parsing • EDA
This post summarizes my capstone project for my program in Data Analytics at WGU. I used multiple linear regression to investigate how socioeconomic factors influence poverty rates across U.S. counties.
in Featured Projects on Waggle, Power bi report, Data visualization, Storytelling, Lapdog, LapcatLast modified at:
Power BI • DAX • Power Query • Data visualization • Branding
In this project, I analyzed user and pet data from Waggle, a pet-tech startup known for its innovative smart devices for pets. After the success of the LapDog fitness collar for dogs, Waggle launched a field test of its feline counterpart called “LapCat”. My report aims to help stakeholders understand how the new device is performing and whether it justifies further development.
This project demonstrates how SQL and PostgreSQL can be used to transform raw transactional data into structured, analysis-ready tables. Using the DVD Rental Dataset, I built a structured workflow to extract, transform, and organize rental data for future insights and analysis.
in Featured Projects on Youtube, Tableau dashboard, Tableau story, Data visualization, StorytellingLast modified at:
Tableau dashboard • Tableau story • Storytelling
What do trending YouTube videos reveal about American viewers? In this Tableau project, I analyzed U.S. YouTube trending data to uncover patterns in viewer sentiment, identify top-performing creators, and explore regional content preferences.
