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mishael-fav/README.md

Hello there,👋 I'm Mishael!

Data Analyst 📊📉

Portfolio Website


🚀 About Me

I am a Data Analyst passionate about transforming raw data into actionable insights. With expertise in business intelligence, data visualization, and data-driven decision-making, I utilize Python, SQL, Power BI, and Excel (Power Query) to extract meaningful trends and support strategic decisions.

I am currently working on advanced analytics dashboards, market trend analysis, and predictive modeling, while also improving my machine learning skills for data analysis.

OPEN TO WORK 🤝


🔥 Skills & Tools

Python Python Python Python Python Python Python Python Python Python



📈 Featured Projects

📌 The UrbanEats Route Optimization Project was developed to tackle prolonged delivery times, rising operational costs, and inefficient driver utilization in Lagos’ urban food delivery market. Using SQL for data analysis and Power BI for visualization, the project established baseline metrics such as average delivery lead time, operational cost per delivery, delivery accuracy, and driver workload, then applied traffic-aware route optimization to model more efficient deliveries. The results showed a 20% reduction in delivery lead times and a 15% decrease in operational costs, while also improving driver satisfaction through balanced assignments. This data-driven approach positions UrbanEats to deliver faster, more reliable, and cost-effective services, strengthening customer trust and ensuring a competitive edge in the market.

📸 Preview:
View Dashboard

📌 This project explores customer behavior through a Cohort Retention Analysis of online retail data. Leveraging SQL, I cleaned transactional records, calculated Cohort Indices, and generated retention matrices to track engagement. The final insights were visualized in Tableau to highlight churn trends and retention opportunities over time

📸 Preview:
View Dashboard

📌 This Power BI project analyzes the landscape of "Unicorn" companies (startups valued at $1B+) to identify optimal investment strategies. Moving beyond simple counts, this dashboard uses a "Geography Arbitrage" framework to classify global ecosystems into "Emerging Efficiency Hubs" (Low Entry Price, High Opportunity) versus "Premium Saturated Hubs" (High Entry Price, High Stability)

📸 Preview:
View Dashboard


📢 Let's Connect!


"Turning Data into Meaningful Insights!"

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  1. EDA_MARKETING_CAMPAIGN EDA_MARKETING_CAMPAIGN Public

    This project explores a large-scale marketing campaign dataset using Exploratory Data Analysis (EDA). The objective is to uncover actionable insights that will guide decision-making in marketing st…

    Jupyter Notebook

  2. QUANTIUM-VIRTUAL-SIMULATION QUANTIUM-VIRTUAL-SIMULATION Public

    In this project, Quantium shares transactional and customer data from a major grocery client. As part of the analytics team, our role is to deliver data-driven insights and commercial recommendatio…

    Jupyter Notebook

  3. DATA_CLEANING_AND_PREPARATION DATA_CLEANING_AND_PREPARATION Public

    This project focuses on cleaning, preparing, and optimizing a raw product dataset to ensure data quality for marketing analytics. The primary goal was to enhance the dataset's structure, handle inc…

    Jupyter Notebook

  4. DISTRIBUTION-NETWORK-FOR-EV-VEHICLES DISTRIBUTION-NETWORK-FOR-EV-VEHICLES Public

    This project helps PowerCharge Utilities address challenges from growing EV adoption. Leveraging Python and data analytics, it evaluates grid capacity, detects bottlenecks, and optimizes upgrades t…

    Jupyter Notebook

  5. DEPRESSION DEPRESSION Public

    This project explores patterns of depression among students using Python, pandas, and data visualization. It identifies key factors contributing to depression (academic pressure, work/study hours, …

    Jupyter Notebook

  6. Rainfall-in-INDIA Rainfall-in-INDIA Public

    This project analyzes historical rainfall patterns across India using Python, pandas, and visualization libraries. It explores seasonal and yearly trends, identifies long-term shifts in rainfall, a…

    Jupyter Notebook