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SOSPETER03/README.md

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👋 Hi, I'm Sospeter Njenga

🎓 BSc. Statistics (Major in Data Science)
📍 Nairobi, Kenya

🚀 About Me

Aspiring Data Analyst with a strong foundation in data science, time series forecasting, and business intelligence.
I enjoy transforming raw datasets into actionable insights, and building full-stack analytics projects from the ground up.

🔧 Tech Stack

  • Languages: Python, R, SQL
  • Tools: Excel, Power BI, Tableau, SPSS, Stata
  • Libraries: pandas, statsmodels, scikit-learn, keras, plotly, streamlit
  • Certifications:
    • 📘 IBM: Databases and SQL for Data Science
    • 📘 Google: Data Analysis with R Programming
    • 📘 Simplilearn: Excel, Power BI, Tableau

📈 Featured Projects

🔹 Smart Retail Analytics

A full-stack data science solution simulating a retail environment
Highlights:

  • SQL Server database design, Python data generation (Faker)
  • Forecasting sales with SARIMA
  • Customer segmentation using RFM + KMeans
  • Interactive Streamlit dashboard

📄 Project Report (PDF)
📊 Dashboard Snapshot (PDF)

🔹 Tesla Stock Forecasting

Time series forecasting pipeline for Tesla Inc. stock prices
Highlights:

  • ARIMA, SARIMA, LSTM, and Hybrid models
  • Model comparison using RMSE, MAE, AIC/BIC
  • Interactive documentation & visualizations

🌐 Connect with Me

Portfolio
Email
GitHub
LinkedIn

⚡ Turning data into decisions through forecasting and clarity.

Popular repositories Loading

  1. tesla-stock-forecasting tesla-stock-forecasting Public

    Predictive modeling of Tesla stock prices using AR, MA, ARIMA, and LSTM models. This project leverages Python for time series analysis, statistical forecasting, and deep learning techniques.

    HTML

  2. sospeter03.github.io sospeter03.github.io Public

    My personal data science portfolio site

  3. SOSPETER03 SOSPETER03 Public

    Aspiring Data Analyst | Forecasting with ARIMA, SARIMAX, LSTM | Python • SQL • Power BI | Portfolio → sospeter03.github.io

  4. smart-retail-analytics smart-retail-analytics Public

    Python