My Resume
📧 Email: [email protected]
📱 Phone: +234 703 815 4198
🌍 Location: Lagos, Nigeria (Open to Remote/Relocation)
💼 LinkedIn: linkedin.com/in/mubarak-ibrahim1
💻 GitHub: github.com/hellomuba
🌐 Portfolio: hellomuba.github.io
🚀 About Me
Results-driven Data Analyst with expertise in Python, SQL, and business intelligence tools. Proven track record of:
- 🚀 Reducing analysis time by 85%
- 💰 Identifying $3.5M+ in business opportunities through data insights
Specialized in ETL pipeline development, predictive analytics, and automated data processing solutions.
💼 Experience
Beats by Dre | Consumer Insights Analyst Extern
📍 Remote, New York, United States | 2024
- 💡 Identified $3.5M+ in product opportunities via competitor analysis of 10,000+ customer reviews.
- 🤖 Achieved 85% reduction in analysis time by automating data workflows with Python.
- 🌟 Built AI-powered sentiment analysis frameworks using Gemini AI for 6 months of customer feedback.
- 📊 Delivered 3 interactive dashboards for real-time analysis using Seaborn and Matplotlib.
ALX Africa | Data Analyst Fellow
📍 Lagos, Nigeria | 2023
- 📈 Optimized SQL-based ETL pipelines processing 1M+ daily records, improving efficiency by 40%.
- 🔍 Boosted data accuracy by 35% through automation of critical workflows using Python & SQL.
- 🤝 Collaborated cross-functionally for data-driven strategic planning, enabling better decision-making.
Xtamaliy | IT & Digital Operations Manager
📍 Lagos, Nigeria | 2017 – 2020
- 🚀 Increased efficiency by 40% through platform optimization and analytics.
- 🎯 Improved customer satisfaction metrics by 50% with data-driven digital solutions.
- 🔧 Reduced system downtime by 30% with predictive analytics.
🎯 Projects
Water Quality Analytics (Maji Ndogo) | Lead Data Analyst
- 🖥️ Designed 4 Power BI dashboards tracking UN SDG6 metrics across 150 locations.
- 🤖 Implemented predictive analytics and KPI tracking for optimized resource allocation.
- 💡 Improved water management for 10,000+ residents using automated reporting systems.
Market Intelligence Dashboard | Beats by Dre Consumer Insights
- ⚙️ Built end-to-end data pipeline using Python, SQL, and Azure to process 11,000+ customer reviews.
- 📊 Uncovered $2M in opportunities through predictive modeling and SWOT analysis.
- 📈 Developed real-time competitive analysis suite with Power BI and Python.
🎓 Education
-
| ExploreAI Academy |
Nanodegree in Data Analytics |
2024 |
South Africa |
-
| Nexford University |
MBA: Data Science for Decision Making |
2023 |
Washington, DC |
-
| Federal University of Technology |
B.Sc. Physics/Electronics |
2014 |
Nigeria |
🛠️ Technical Skills
Advanced:
Python, SQL, Power BI, Pandas, NumPy, DAX, Data Mining
Intermediate:
Machine Learning, Tableau, Statistical Analysis, ETL, Azure, Snowflake, Docker
Database & BI:
Data Warehousing, PostgreSQL, MongoDB, Predictive Modeling, Business Intelligence
🏆 Key Achievements
- 85% reduction in analysis time.
- Identified $3.5M+ opportunities via insights.
- 50% improvement in customer satisfaction metrics.
📜 Certifications
- Google Data Analytics Professional Certificate
- Data Analytics Nanodegree (ALX Africa/ExploreAI Academy)
- MBA: Data Science for Decision Making (Nexford University)
🤝 Core Competencies
- Data Pipeline Architecture
- Predictive Analytics
- Statistical Analysis
- Data Visualization
- Business Intelligence
- Machine Learning
- Database Management
- ETL Development