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S33mi/README.md

Hi there 👋

Data enthusiast and researcher | Turning past work into open, reproducible projects

"Just trying to do great things" — one simulation, notebook, and optimization at a time.

🔧 Background & Key Projects

  • IoT Routing Simulations — RPL-based experiments in Contiki-Cooja (energy, latency analysis, modified code & setups) → iot-routing-contiki (BSD-3-Clause)

  • Intelligent 2D Packing Optimization — Heuristics & metaheuristics (Genetic Algorithm, Simulated Annealing, Cuckoo Search, NFP, Bottom-Left-Fill) for irregular nesting → intelligent-optimization (MIT)

  • English & Turkish Grammar Notes — Personal handwritten PDFs 📚 for tenses, cases, structures & differences (self-study fun) → English-and-Turkish-Language-Grammar-Notes 😅 (MIT)

  • Paper Reimplementations — Previously reimplemented research papers during my PhD. Starting with DataPrep.EDA EDA tools → paper-reimplementations (MIT)

  • Credit Fraud Analytics — Analysis of credit card transaction data for fraud detection using anomaly detection techniques → credit-fraud-analytics (MIT)

  • Climate & Sustainable Cities — Data explorations on environmental trends and urban sustainability → climate-sustainable-cities 🌱 (MIT)

  • Know Your Style — Fashion-MNIST EDA + CNN classification (~90-92% accuracy) → know-your-style (MIT)

  • Daily Motivation + Tennis Tips Agent — Fun Python agent with free quotes API & tennis tips → daily-motivation-tennis-fun (MIT)

  • Financial News Mining — Sentiment analysis & stock correlation → financial-news-mining (MIT)

More coming soon: JP Morgan python training for Bussiness Analysts, more on paper reimplementations, and data analysis notebooks.

🔗 Learning & External Training

  • Completing JPMorgan Chase Python Training for Business Analysts & Traders

    Fork & notes: jpmc-python-training-notes

    (Numerical computing, data viz, financial examples)

🛠️ Skills Snapshot

Python · NS-3/Contiki/Cooja · Network Simulation · Optimization Algorithms · Machine Learning · Deep Learning · Data Analysis · Jupyter · Anomaly Detection · C++ · C basics

🚀 Currently Exploring

Bridging networking/simulations with data pipelines, fraud detection, and frontier AI (daily Grok user & prompt tinkerer).

Fun unrelated note: Professionally bad at tennis 🎾 → casual thoughts on X: @Seemi_Rauf

Open to Data Analyst, Business Analyst, or interesting collaborations.

📫 X: @Seemi_Rauf

Feel free to star, fork, or reach out — let's build something useful! 🌟

Pinned Loading

  1. daily-motivation-tennis-fun daily-motivation-tennis-fun Public

    Fun daily agent: motivational quotes + tennis tips (Grok-inspired)

    Jupyter Notebook

  2. iot-routing-contiki iot-routing-contiki Public

    Repository contains the doc file, simulation setup and code files to run RPL based simulation experiments

    C

  3. intelligent-optimization intelligent-optimization Public

    Python

  4. English-and-Turkish-Language-Grammar-Notes English-and-Turkish-Language-Grammar-Notes Public

    Personal hand written notes

  5. credit-fraud-analytics credit-fraud-analytics Public

    Anomaly detection for credit card fraud on imbalanced transaction data - experiments with Isolation Forest and more

    Jupyter Notebook

  6. know-your-style know-your-style Public

    Fashion clothing analysis — Classification and exploratory data analysis on fashion/clothing products — categories, prices, trends, using open datasets

    Jupyter Notebook