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NamanKr24/README.md

👋 Hi, I’m Naman

💡 Data Analyst | Aspiring Data Scientist
I work at the intersection of analytics and machine learning, turning raw data into clear business insights and deployable solutions.
From SQL-driven analysis and interactive dashboards to forecasting frameworks and retrieval systems, I enjoy building end-to-end pipelines that solve real-world problems.


🔧 Skills Snapshot

  • Core Tools: SQL • Python (Pandas, Scikit-learn, Flask) • Power BI
  • Special Focus: Forecasting • Recommendation Systems • RAG/LLMs • Dashboarding
  • Other Familiarity: Optuna • Gradio • Streamlit • Oracle SQL • Excel (Power Pivot)

📄 Resume & Portfolio


📬 Let’s Connect

LinkedIn
GitHub
Email


📊 GitHub at a Glance

Top Languages

Naman’s GitHub stats


⭐️ Thanks for stopping by — feel free to check out my pinned projects below!

Pinned Loading

  1. Marketing-Campaign-Outcome-Analysis Marketing-Campaign-Outcome-Analysis Public

    End-to-end campaign analytics project with EDA, statistical testing, recall-optimized modeling, SHAP interpretability, and an interactive Plotly Dash dashboard using the UCI Bank Marketing dataset.

    Jupyter Notebook

  2. Behavioral-Product-Recommendation-System Behavioral-Product-Recommendation-System Public

    End-to-end e-commerce recommendation system using real customer behavior data. Built a collaborative filtering model from implicit feedback, deployed a real-time Flask API, and explored user trends…

    Jupyter Notebook 1

  3. QuotientRAG QuotientRAG Public

    A semantic quote retrieval system using fine-tuned MiniLM, FAISS indexing, and RAG-style LLM synthesis-built with Streamlit and Hugging Face Spaces.

    Jupyter Notebook 1

  4. ForecastForge ForecastForge Public

    Hybrid framework combining ML, deep learning, and ensemble methods for accurate time series forecasting across energy, finance, traffic, and weather data. Includes LSTM, Transformer, XGBoost, LNN, …

    Jupyter Notebook

  5. Global-Supply-Chain-Analytics Global-Supply-Chain-Analytics Public

    Comprehensive Power BI dashboard analysing global supply chain data with multi-page insights on sales, profitability, orders, and logistics.

  6. Retail-Sales-and-Customer-Insights Retail-Sales-and-Customer-Insights Public

    Customer segmentation and sales trend analysis using Oracle SQL and Excel Power Pivot on 500K+ online retail transactions. Includes RFM profiling, top product analysis, and a slicer-driven interact…

    1