I’m a Data Analyst driven by curiosity, resilience, and a strong commitment to continuous learning. I grew up in Guinea, West Africa, where access to technology was very limited for me growing up, but I was so facined about Inovations. After moving to the U.S., I taught myself English, adapted to a new culture quickly, and intentionally built the skills and mindset needed to work in tech.
I am currently completing an intensive Data Analytics training program at The Marcy Lab School, where I developed hands-on experience with data analysis, problem-solving, and critical thinking using tools like Python and SQL. What defines me most is my discipline, growth mindset, curiosity, and desire to use data to find solutions that have real-world impact.
This GitHub is where I document my learning journey, share projects, and continue growing one step at a time.
I'm a Data Analyst based in New York City with a passion for transforming complex datasets into actionable business insights. Currently completing 1,800+ hours of immersive training in data analysis, statistics, machine learning, and visualization at The Marcy Lab School.
🏆 2nd Place Winner — MTA Datathon 2025 (out of 180+ teams)
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Built an interactive Power BI dashboard to identify churn drivers for a telecom company. Key Insights:
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Analyzed guest satisfaction and revenue patterns using star-schema database design and RFM analysis. Key Insights:
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Built a classification model to predict Killed or Seriously Injured (KSI) outcomes from 342K+ motor vehicle collisions. Results:
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Applied statistical testing to uncover ridership patterns for product, operations, and marketing teams. Statistical Tests:
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Analyzed 3M+ bus violation records to uncover spatial and socio-economic patterns in NYC transit enforcement. Impact:
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Analyzed Wi-Fi kiosk usage across 4,000+ kiosks to measure digital equity post-5G rollout. Key Metrics:
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- 🔬 Expanding my machine learning toolkit with deep learning fundamentals
- 📊 Building more interactive dashboards with Power BI and Tableau
- 🌐 Contributing to open-source data projects
- 📚 Preparing for junior data analyst roles
- 🎓 Preparing to get certified in:
- AWS Cloud Practitioner, expected - March 2026
- PL-300: Microsoft Power BI, expected - April 2026
- Databricks Data Engineer Associate, expected - May 2026
I'm always open to discussing data projects, collaboration opportunities, or just chatting about the latest in analytics!