My Role

• Data Analyst

What

Starting with a data set containing 882 entries in .xlsx file format, the objective was to visualize MyPath2ASU sign-up trends over the course of a month.

Deliverables

• Interactive Dashboard

Why

The goal of this project was to gain an understanding of when sign-ups occur and what institutions and ASU colleges they're associated with. Stakeholders will be able to leverage campaign efforts based on opportunity areas. 

Competencies

• Tableau 
• Data cleaning

How

I organized the data by categories such as state, community college, ASU college, online interest as well as agreement type. The user of this dashboard can toggle through various data points and easily see trends based on their selection. 

My Role

• Business Intelligence (BI) Analyst

What

Starting with data for British Airways in .csv file format, I wanted to build a visualization that could help stakeholders interpret the data in a meaningful way.  

Deliverables

• Interactive Dashboard

Why

The goal of this project was to gain an understanding of the reviews contained in the data set and toggle between various metrics.

Competencies

• Tableau 
• Data cleaning

How

I organized the data by metrics such as overall rating, cabin service, entertainment, food and ground service. The user of this dashboard can toggle through various data points such as country, month of review, traveler type, seat type and aircraft model.

What

I started this project with a word document containing an explanation of the hotel operations in paragraph form. To create the enhanced entity-relationship diagram shown on the left, I needed to determine the best way to organize the information and data provided.

Why

The goal of this project is to map out the core operations of the hotel. From booking and room management, to services offered, this optimized EERD ensures no aspect of the resort is overlooked in the database.

How

By first determining the core entities of the resort, the attributes for each entity can be defined. From there, the relationships between the entities are established, followed by identifying the constraints. Once the initial diagram is complete, the next step involves optimizing or normalizing the design to reduce redundancy, ensure data integrity, and improve overall efficiency for the resort's database operations.

My Role

• ETL Developer
• Data Analyst

What

The dataset for this chart includes 484 entries from the sales records of a sporting goods store. The visualization illustrates the percentage contribution of each item to total sales.  

Deliverables

• Pivot Table
• Pivot Chart

Why

This analysis can help store managers and decision-makers identify best-selling products, optimize inventory, tailor marketing strategies, and make informed decisions about product placement and promotion to maximize revenue.

Competencies

• Excel
• Data cleaning

How

The dataset was first organized by categorizing each item based on its sales figures. From there, the percentage contribution of each item to the total sales was calculated and color coordinated based on month sold.

My Role

• ETL Developer
• Data Analyst

What

5,032 entries were analyzed to illustrate peak profitability based on time of day for a sporting good store.

Deliverables

• Pivot Table
• Pivot Chart

Why

By understanding these peak hours, the store can adjust staffing, modify store hours and plan promotions.

Competencies

• Excel
• Data cleaning

How

By taking data from transactions over a 7 month period, I used the time of transaction to visualize what time of day a sporting goods store could expect to see profits as well as foot traffic.

My Role

• ETL Developer
• Data Analyst

What

I wanted to visualize the top-selling item over a three-year period, indicating its strong customer preference and consistent demand. While fries and milkshakes are still popular, they generate lower sales than the Classic. Specialty items like the Avocado, BBQ cheddar and Jalapeño burgers have the lowest sales volumes, suggesting that these options are less popular or may appeal to a niche market.

Deliverables

• Pivot Table
• Pivot Chart

Why

This insight can help the burger chain focus on promoting best-sellers, reconsidering the pricing or marketing of underperforming items, and potentially adjusting the menu based on customer preferences.

Competencies

• Excel
• Data cleaning

How

By breaking down revenue by year and then by month, while also showing quarterly trends, we can clearly see how each product is performing.

My Role

• ETL Developer
• Data Analyst

What

The data consists of 2,825 transaction entries from the 2021 sales year, focusing on monthly revenue across different product categories (classic cars, motorcycles, planes, and ships).

Deliverables

• Pivot Table
• Pivot Chart

Why

The analysis reveals opportunities for targeted marketing and inventory adjustments by identifying high-demand periods and top-performing product categories, helping the business optimize for periods of high sales and mitigate low-revenue months.

Competencies

• Excel
• Data cleaning

How

The sales data was categorized by product type. Monthly revenue for each product category was calculated to identify trends over the 2021 sales year. The raw transaction data was aggregated to summarize monthly sales totals for each category. This allowed for comparison between product types and enabled the identification of seasonal fluctuations, such as low sales in January and peak sales in May.

My Role

• ETL Developer
• Data Analyst

What

The data shows the percentage of car accidents involving alcohol in 2021, highlighting specific states with the highest (Montana, North Dakota, and South Carolina) and lowest (Utah) rates.

Deliverables

• Pivot Table
• Pivot Chart

Why

This data can guide targeted interventions, policy changes, and public awareness campaigns to reduce alcohol-related accidents in high-risk areas.

Competencies

• Excel
• Data cleaning

How

The data was grouped by state, showing the percentage of accidents in each that involved alcohol. The percentage of alcohol-related accidents was calculated to allow for meaningful comparisons between states with different population sizes or total accident counts.

My Role

• ETL Developer
• Data Analyst

What

The goal was to visualize and understand the revenue performance of a distributor company by analyzing 2,156 transactions and identifying key customers (Austria, Germany, and the U.S.). The analysis aimed to reveal trends in product sales and seasonal fluctuations.

Deliverables

• Pivot Table
• Pivot Chart

Why

By identifying the key customers and understanding seasonal sales trends, the company could better plan production and logistics, ramping up operations during peak demand periods.

Competencies

• Excel
• Data cleaning

How

The transactional data was categorized by country and product type. The data was further broken down by month to track seasonal patterns. This aggregated data enabled comparison across both geographic and product categories, allowing identification of sales peaks and stable periods.

My Role

• Mobile App Developer
• GUI Designer
• Product/Market Researcher

What

For this collaborative project, we analyze challenges facing Best Buy in the economic landscape of 2024.  

Deliverables

• App GUI
• App Presentation

Why

The purpose of this project is to address issues like lagging sales and a weak social media presence, the company must leverage its cost leadership and differentiation strategies to stand out.

Competencies

• SWOT Analysis
• Market Research
• Customer Relationship Management
• Social Media and Digital Marketing

How

We explore a high-level SWOT analysis, examining the critical areas affecting Best Buy's performance and outlining actionable strategies to strengthen its market position.

My Role

• ETL Developer
• Data Analyst

What

This is a team project where we analyze the performance and growth trends of key product categories and geographical markets for a company called Northwind Traders, an international reseller and distributor.

Deliverables

• PowerPoint Presentation
• Oral Presentation
• Request for Proposal Submission

Why

We cover how strategic data analysis can drive business success, optimize resources, and identify growth opportunities.

Competencies

• Tableau
• Excel/ Pivot Tables
• Data Analysis
• Collaborative Work
• Request for Proposal

How

We focused our attention on high-performing categories like meat, seafood, and produce. We also analyze top markets such as the USA, Germany, and Austria, highlighting their impact on revenue.

My Role

• Mobile App Developer
• GUI Designer
• Product/Market Researcher

What

This independent project was designed to enhance the Rite Aid customer experience with a new app. This app allows customers to shop, book appointments, refill prescriptions and redeem rewards points.

Deliverables

• App GUI
• App Presentation

Why

The purpose of this project is to tackle critical business challenges faced by Rite Aid. Amidst declining sales and financial difficulties, this solution aims to help the company remain competitive and boost sales to ensure its sustainability.

Competencies

• Object-Oriented Programming
• Data Cleaning
• JSON File Manipulation
• GUI Design 
  
• Error Handling
• File Handling 
  
•  I/O Operations 
  

How

Developed in PyCharm, this project showcases a range of competencies including  classes, , GUI design and implementation, file handling, and I/O operations.

My Role

• Web Developer
• Programmer

What

This collaborative project challenged our scrum team to create an innovative employee feedback system that helps companies understand their employees' feelings about their jobs and identify areas for improvement, without relying on traditional surveys. 

Deliverables

• Interactive Employee Survey
• Presentation

Why

Traditional surveys are ineffective because they're time consuming and employees believe their feedback won't result in meaningful change. We created a new system that gathers genuine, useful insights to drive improvement., encourages participation and transparency without causing fear or distrust. Transforms negative sentiments into constructive, actionable suggestions.

Competencies

• JavaScript/CSS/HTML
• Story sizing
• Sprint Burndown Chart 
  
• Trello and Scrum Boards
  
• Visual Studio Code 

How

Developed in Visual Studio Code, this project showcases a range of competencies. Instead of lengthy surveys, we implement micro-feedback loops where employees can provide feedback in small doses over time. We integrate elements of gamification to encourage engagement.