
👋 Hi, I'm Rolando
Data Analyst | Business Analyst | BI Engineer
👨⚕️ Healthcare Specialist and Data Analyst
💻 Excel, Tableau, SQL, Python R
🏹 Archery, 🏊🏽♂️Swimming, 📖Reading
📍Greater New York City Area
Technical Skills
Tableau
Power BI
Looker
Project Management
SQL
Excel
Python
R
Projects
🍔 DoorDash Marketing Project
Excel | Exploratory Data Analysis
◾ Real world-marketing campaign data
◾ Using only Excel for analysis and data visualization
◾ Utilized VLOOKUPS, Pivot Tables, Scatter Plots, & Bar Charts
◾ Provided a comprehensive write up to help the marketing team on their next campaign
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🏫 Evaluating School Success with Tableau Project
Tableau | Data Visualization
◾ Created dashboard evaluating 1,861 different schools' performance across 100's of features
◾ Used Scatter Plots, KPI's, Bar Plots, & Area charts to show performance differences
◾ Presented dashboard to stakeholders via recorded video
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💵 Financial Analysis of World Bank Loans
SQL | Exploratory Data Analysis
◾ Data-mined 1.2M real bank transactions to find financial outliers, patterns, & trends
◾ Used SQL clauses such as SELECT, WHERE, FROM, GROUP BY, AVG, MIN/MAX, SUM, AND, etc
◾ Created written report highlighting findings
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Superstore Executive Analysis using Tableau
Tableau | Dashboarding
◾Comprehensive Dashboard: Offers interactive visualizations (e.g., pie charts, treemaps, scatter plots) to analyze sales, profit, and shipping trends.
◾Strategic Insights: Highlights key metrics like profit, sales, quantity, discounts, and shipping times across regions, categories, and customer segments.
◾Decision Support: Enables data-driven decisions with tools for state-level analysis, seasonal trends, and category discount evaluations.
🏀 Analyzing NBA Data with Tableau
NBA Analysis Highlights
• 📊 Bubble Plot Analysis: Visualizes player impact using 3-Point %, Total Points, and Playing Time.
• 🧱 Stacked Bar Chart: Compares team scoring breakdowns—2-pointers vs. 3-pointers vs. free throws.
• 🔥 Heat Map: Reveals team 3-point shooting efficiency by player positions across all NBA teams.
• 📈 Interactive Tableau Dashboard: Gain insights into player contributions and team scoring strategies.
About Me

👋 Hi, I'm Rolando & welcome to my portfolio! Over the past few years, I've become obsessed with data. I've fallen in love with the ability to take a table of numbers & transform it into meaningful insight. I've worked as a healthcare specialist in various capacities such as a nurse and medical records auditor). However, I have gotten to use data quite a bit on the jobs that I handled.I'm proficient in analyzing data with:
- Excel
- Tableau
- SQL
- Python
- Power BI
- RAnd I'm looking to help a company extract insights from their data. If you'd like to contact me, feel free to email me: ([email protected])
Previous Experience
💻 Lead Data/Business Analyst
The Cheerful Giver Company · December 2023 - Present
◾ Conducts in-depth analysis of company operations to optimize efficiency and strategic decision-making. ◾ Develops and maintains dashboards to track key performance indicators and improve organizational transparency. ◾ Implements data-driven solutions to enhance process efficiency and resource allocation. ◾ Provides insights through reports and presentations to support leadership in making informed decisions.
💻 Business Analyst
Centene Corporation · 2020 - December 2023
◾ Compiled and delivered reports to state government agencies outlining healthcare program offerings and documentation requirements. ◾ Extracted and analyzed data to support management decisions and regulatory compliance. ◾ Designed automated procedures to improve data collection and reporting, including a fax blasting system that reduced processing time from 83 seconds to 2.5 seconds per request, increasing productivity by 3000%. ◾ Conducted audits and risk assessments to ensure compliance with contractual and regulatory healthcare standards. ◾ Engaged with providers and members to facilitate accurate medical record documentation, closing care gaps and improving patient outcomes.
🏫 Evaluating School Success with Tableau Project
In the state of Massachusetts, there are approximately 953,748 high school students, which is almost a million kids! This means that decisions regarding high school education affect one-seventh of the state's population, which is 6.985 million.
Background
The state of Massachusetts asked to analyze their education data. The Secretary of Education is exploring ways to increase college attendance, including investing in building more schools. One idea is to lower the average class size in hopes of boosting the percentage of students attending college. Using Tableau we have taken a deep dive into the data.All the data is available to look at yourself on this Tableau DashboardThe original dataset can be found here 👉 Dataset

Analysis
I was stunned to learn that last year, 162,137 students did not graduate while 791,610 students successfully graduated.Another 205,818 did not attend college, while 585,791 students proceeded to pursue
higher education after graduation.As per the state's request, I looked at the correlation of class size.The average class size for the entire state is 18, however, the top 5 schools have the largest class sizes. While class size may not be a significant contributor to student grades. There was more data to look at.

Next, we looked at who could help other schools.The top five schools in fourth-grade math proficiency are Hingham, Winchester, Lynnfield, Manchester, and Sherborn. Reaching out to these schools to discover how they are aiding their student's success will be important.

Then we identified schools needing the most urgent help.The schools that are currently struggling the most with their grade point average. These schools include Springfield Public, Boston Charter, Whaling City Junior, Springfield High, and Phoenix Academy. They could benefit greatly from some assistance and that would be a good place to start.Lastly, we found the most helpful piece of information!When it comes to struggling schools, an average of 77% of their students are economically disadvantaged. In contrast, only 13% of students in the top 5 schools face the same situation.According to the state, children who use one or more assistance programs are at a disadvantage.

Conclusion
I recommend reaching out to the high-performing schools and inquiring if they would be willing to share their successful strategies with the lower-performing schools.Instead of investing in building more schools, we should focus on improving or expanding the programs that help economically disadvantaged children. This would be a more effective use of resources.Lastly, It would be beneficial to contact colleges and share this information with them to explore if they're willing to assist high schools in enhancing the transition to college.If you enjoyed reading this. Please connect with me on LinkedIn. I'll be posting more like it. This project was done as part of the DAA Boot Camp Projects. Educational purpose.