๐Ÿ‘‹ Hi, I'm Tim Norman

Data Analyst | Business Analyst | BI Engineer

๐Ÿ‘จ๐Ÿซ Physics Teacher Turned Data Analyst
๐Ÿ’ป Excel, Tableau, SQL, Python
๐ŸŒ„ CrossFit, Running, Climbing
๐Ÿ“ Houston, Texas USA


Technical Skills

  • Tableau

  • Power BI

  • Project Management

  • Data Analysis

  • SQL

  • Excel

  • Python

  • R


Projects

๐Ÿ” DoorDash Marketing Project

Excel | Exploratory Data Analysis
โ—พ Real world-marketing campaign data
โ—พ Using only Excel for analysis and data visualization
โ—พ Utilized VLOOKUPS, Pivot Tables, Scatter Plots, & Bar Charts
โ—พ Provided a comprehensive write up to help the marketing team on their next campaign

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๐Ÿซ Evaluating School Success with Tableau Project

Tableau | Data Visualization
โ—พ Created dashboard evaluating 1,800 different schools' performance across 100's of features
โ—พ Used Scatter Plots, KPI's, Bar Plots, & Area charts to show performance differences
โ—พ Presented dashboard to stakeholders via recorded video

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๐Ÿ’ต Financial Analysis of World Bank Loans

SQL | Exploratory Data Analysis
โ—พ Data-mined 1.2M real bank transactions to find financial outliers, patterns, & trends
โ—พ Used SQL clauses such as SELECT, WHERE, FROM, GROUP BY, AVG, MIN/MAX, SUM, AND, etc
โ—พ Created written report highlighting findings

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๐Ÿฅ Analyzing Hospital Data with SQL

SQL| Exploratory Data Analysis
โ—พ Analyzed what affections hospital stay length in MySQL
โ—พ Created a histogram using SQL (weird, I know)
โ—พ Real data from over 101,000 hospital patients

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๐Ÿ€ Analyzing NBA Data with Tableau

Tableau | Dashboarding
โ—พ Analyzed the 2022 NBA season statistics
โ—พ Created Stacked Bar Charts, Heatmaps, Treemaps & Bubble Charts
โ—พ Built a Tableau story & shared via written report

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๐Ÿญ Analyzing Mining Process Data with Python

Python | Exploratory Data Analysis | Dashboarding
โ—พ Analyzed mining process data from a flotation plant
โ—พ Created correlation matrix, pair plots, line graphs, and histograms based on a user defined date.
โ—พ Built a web app that hosts a dashboard

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About Me

๐Ÿ‘‹๐Ÿผ Hey there! I'm Tim Norman!I am a Data Driven Physics Educator ๐ŸŽ who pivoted to Data Analytics. I'm eager to bring value to your company and stakeholders by bringing order to the chaos and presenting complicated topics in elegant and simple ways - something I have to do everyday in the physics classroom. ๐Ÿ‘จ๐Ÿผ๐ŸซI'm proficient in analyzing data with:
- Excel
- Tableau
- SQL
- Python
And 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

๐Ÿ‘จ๐Ÿซ Advanced Placement Physics Teacher
Caney Creek High School ยท Aug 2021 - Present
โ—พDesigned and implemented two new curriculums on campus: AP Physics C and Honors Physics.
โ—พ Physics Team Lead โ€“ trained, mentored, and managed other teachers. Wrote exams, designed curriculum, managed, analyzed, and responded to student data. Liaison to Administration. Instructional Focus Team Member. Site-Based Decision Team Member.
โ—พ2024 Rising Star, National Honor Society Sponsor

๐Ÿซ 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 ๐Ÿ‘‰ 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.