😄 Pronouns: she/her. || 📫 naijeria@mamatech.co.ke.
I’m a product engineer and product lead who builds efficient systems and ships impactful solutions. I design structures that work smarter, challenge norms with creativity, and prioritize sustainability. I care about giving visibility to overlooked voices—and leaving products, teams, and codebases stronger than I found them.
- Live: https://startup.nailab.org/
- Repo: https://github.com/nashthecoder/nailab-877a848e
Who it’s for: Startup founders looking for mentorship to succeed.
A Power BI crime data analysis project for Washington, D.C., uncovering trends, hotspots, and severity to support data-driven decisions. Includes key KPIs like Crime Severity Index, Top 5 Crime Types, and time-of-day insights to guide targeted policing and community safety efforts.
Dataset Source: Onyx Data March 2025 Challenge
Data Cleaning Steps
- Ensured columns are in the correct data type
- Filtered out null values
- Dropped unnecessary columns
Key Performance Indicators (KPIs)
- Total Crimes Reported – Volume of crimes over the selected timeframe
- Crimes by Time of Day – Shift-based distribution (Midnight, Day, Evening)
- Top 5 Crime Types – Most frequent offense categories
- Crime Severity Index – Weighted metric using UCR crime rankings
- Crime by Neighborhood – Crime counts by neighborhood cluster
- Hotspot Analysis – Geographic crime concentration visualized
- Weapon-Related Crimes – Percentage involving firearms
- Time to Resolution – Time from occurrence to report filing
- Trends Over Time – Monthly and yearly crime trend tracking
- Crime Rate by Police District – Crime-to-district comparison for efficiency
Summary of Findings
- Most crimes are non-violent thefts, peaking in the evening hours
- Crimes are geographically clustered, especially in Cluster 2 and 14th Street NW
- Weapon-related and violent crimes are less frequent but contribute to severity
- The Crime Severity Index reflects a moderate risk level (6.33)
- Time-of-day and geographic trends offer clear direction for targeted interventions
Credits (group capstone initiative): George (Group Leader), Maureen, Stella, Naijeria
| Dance In Space Website | IMS |
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| Contemporary Dance Company Website Redesign. | Non Profit Information Management System. |
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| Github Repo | Github Repo |
| Msingi Lead Capture Page | Rich Text Editor |
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| Lead capture page for a SaaS application for non-profits. | Rich text editor built with React and Draft.js. |
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| Github Repo | Github Repo |
| Twitter Clone | Amazon Clone |
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| Built with React.js, Redux, Material UI and Firebase. | Built with React.js, Redux, Material UI and Firebase. |
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| Grant Tracker |
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| Coding bootcamp MVP - grant reporting tool. Built with React Js, Material UI, MySQL and NodeJS. |
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| Github Repo |
| E-Card - RSVP Confirmation - Light |
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COMING SOON!