Welcome to my portfolio website! I'm Christina, a data analyst with a passion for crafting stunning data visualizations, conducting robust statistical analysis, and making data-driven decisions that matter. Feel free to delve into my projects and don't hesitate to reach out for any inquiries or opportunities for collaboration.
Christina the Data Analyst
About Me
I'm absolutely thrilled to bring my data analyst skills to the vibrant Treasure Valley of Idaho. My career journey began with a passion for selling power tools, where I discovered my love for delving deep into progress numbers. Now, as a data analyst, I've turned that enthusiasm for working with numbers into my full-time pursuit.
I invite you to explore my portfolio website, where you can find detailed project pages showcasing my work. When you're ready, you can easily download my resume and portfolio with the buttons below. I'm also just a message away on here, LinkedIn, or Github, and I'm always excited to connect with new people.
My Tool Set
Python
Tableau
PowerBI
DbVisualizer
PostgresSQL
Excel
Anaconda
Panel
Pandas
Seaborn
HoloViews
SkLearn
My Skill Set
Data Transformation
Data Wrangling
Descriptive Analysis
Data Mapping
Relational Databases
Storytelling with Data
K-Mean Clustering
Exploratory Queries
PivotTables
V Look Up
Custom Dashboards
SQL Subqueries
Exploratory Queries
DF Storage Optimization
Data Presentation
Portfolio Brief
In this project I sourced data from the CDC and cleaned it using Excel. Finally I looked at how companies could allocate medical staff using Tableau's strong visual library to showcase and present the data.
In this project I sourced data from the EIA and cleaned it using Python. I looked at how energy reliant the U.S. is on other countries and made projections into the future. Finally, I made a custom dashboard to showcase the data.
In this project I looked at Instacart's customer base using Python. I investigated what type of customers they have and what their spending habits showed. I detailed a report that showed my K-mean clusters and customer tagging results.
In this project I looked at a fictional data set. Rockbuster wanted to digitalize its physical movie rentals to keep up with the changing market. I used Excel to clean and SQL to help derive data insights. I also mapped the data using DbVisualizer. Finally I recommended test markets and film restructuring to help them make the transition.
GameCo is a physical game manufacturer that has been selling games to retail stores since 1980. They need to determine if the marketing budget should be updated based on new data trends since 2016. I used Excel to deep dive their numbers and clean their data.
Coming Soon!
Traffic Analysis & Optimization
Website Measurement & Testing
Channel Mix
Product Level Performance
User behavior analysis