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.

• 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 (publicly available now), more on paper reimplementations, and data analysis notebooks.

• Completed JPMorgan Chase Python Training for Business Analysts & Traders

  Fork & notes: jpmc-python-training-notes

  Personalized notebooks : personalized-notebooks

  (Numerical computing, data viz, financial examples)

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

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! 🌟