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Eric-Inkoom-Ayitey/README.md

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Hi there👋, I'm Eric Inkoom Ayitey

  • A data analyst leveraging SQL, MS Excel, Power BI, Tableau, Python, and R to extract actionable insights from data
  • Skills include:
    • Data Collection and Consolidation
    • Data Assessment, Cleaning and Modelling
    • SQL & Database Management
    • Statistical & Analytical Thinking
    • Report Writing and Insights Communication
    • Business Analysis and Project Management
    • Data Analysis and Visualization
    • Python for Data Science
    • Data Ethics, Data Literacy and Data Privacy

Profile GIF

🌐 Socials

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💻 Tech Stack

🧠 Programming & Scripting

📊 Data Science & ML

🛠️ Developer Tools

🎨 Design & Docs

📈 Visualization

🏆 GitHub Trophies

✍️ Random Dev Quote

🔝 Top Contributed Repo

Featured Projects

Project Tools Description
Asthma Prediction App
  • Python (Pandas, Scikit-learn, Matplotlib)
  • Streamlit
 Developed and deployed an asthma prediction model using a synthetic health dataset to demonstrate intelligent screening, feature prioritization, and clinical decision support potential in resource-aware settings.
Activities include:
  • Preprocessing 15 health-related features
  • Visualizing key predictors
  • Imputing missing values
  • Building a fully serialized ML pipeline with RandomForestClassifier
  • Deploying an interactive Streamlit app for live predictions
  • Evaluating model performance (Accuracy: 94.7%, ROC AUC: 0.9909)
Insurance Cost Factors Report Power BI Exploring the key factors influencing insurance costs using real-world data. It provides insights on health, lifestyle, demographics, and customer engagement attributes to support data-driven decision-making in insurance.
Social Media Campaign Analytics Dashboard
  • Power BI
  • Data Visualization
  • Facebook Ads Analytics
  • Developed an interactive dashboard analyzing Facebook advertising campaigns with detailed campaign performance, audience engagement, and budget utilization metrics.
  • Created rich visualizations covering impressions, clicks, costs, and demographic insights to support data-driven marketing optimization.
  • Enabled campaign trend tracking and actionable recommendations for improving ROI and ad spend efficiency.
    		•
    Student Feedback Analysis – Python & Power BI
    • Pandas
    • Seaborn
    • Matplotlib
    • DAX
    • Power BI
  • Analyzed structured student feedback using Python and Power BI to uncover satisfaction trends across multiple course dimensions.
  • Simulated sentiment from numerical ratings and extracted key performance indicators including average rating, top-rated category, and sentiment distribution.
  • Built an interactive Power BI dashboard with KPI cards, sentiment visuals, and comparative charts to guide academic improvements.
    		•

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    1. Insurance-Project Insurance-Project Public

      A Power BI analytics project exploring the key factors influencing insurance costs using real-world data. It provides insights on health, lifestyle, demographic, and customer engagement attributes …

      HTML 1

    2. Time-Series-Analysis Time-Series-Analysis Public

      Time Series Analysis of Stock Prices — A Python-based exploration of historical stock data using decomposition, stationarity testing, and moving average smoothing to uncover trends, seasonality, an…

      Jupyter Notebook 1

    3. Sentiment-Analysis-on-Social-Media-Comments Sentiment-Analysis-on-Social-Media-Comments Public

      Sentiment Analysis on Social Media Comments — A Python-based project that classifies user comments into positive, neutral, and negative sentiment using TextBlob. Includes visualizations of sentimen…

      Jupyter Notebook 1

    4. FUTURE_DS_03 FUTURE_DS_03 Public

      A data-driven exploration of structured student feedback using Python and Power BI. Includes sentiment simulation, KPI extraction, and interactive visualizations to uncover satisfaction trends and …

      Jupyter Notebook 1

    5. FUTURE_DS_01 FUTURE_DS_01 Public

      An interactive Power BI dashboard analyzing e-commerce sales data to uncover top-selling products, seasonal trends, and regional performance. Features dynamic KPIs, customer insights, and actionabl…

      1

    6. Asthma-Prediction-App Asthma-Prediction-App Public

      This project delivers a full-cycle asthma risk prediction system using synthetic health data, combining clean preprocessing, ensemble modeling, and insightful visualization. It features a deployabl…

      Jupyter Notebook 1