I'm a data enthusiast and researcher | Turning past work into open, reproducible projects
"Just trying to do great things" β one simulation, notebook, and optimization at a time.
ContentPilot AI β AI Content Agent for local small businesses
Built for Build with Gemini XPRIZE
β ContentPilot-AI Β· Live Demo
- 7-day social media content packs (Instagram, Facebook, X, LinkedIn)
- Product/service descriptions + customer reply suggestions
- Multi-language support (English, Urdu, Arabic, Persian, Turkishβ¦)
- Google Gemini + Firebase + Paddle payments
- Real freemium product with auth, cloud library & exports (PDF/Word/Excel)
π π€ Data Analysis & Machine Learning
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Credit Fraud Analytics β Analysis of credit card transaction data for fraud detection using anomaly detection techniques β credit-fraud-analytics (MIT)
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Know Your Style β Fashion-MNIST EDA + CNN classification (~90-92% accuracy) β know-your-style (MIT)
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Financial News Mining β Sentiment analysis & stock correlation β financial-news-mining (MIT)
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Machine Learning Journey β Coursework implementations (CS-567, CS-667) and experiments β machine-learning-journey (MIT)
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Modern AI & LLM Journey β From classical ML β Transformers, Fine-tuning, RAG & Agents β modern-ai-llm-journey (MIT)
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Paper Reimplementations β Previously reimplemented research papers during my PhD. Starting with DataPrep.EDA EDA tools β paper-reimplementations (MIT)
- Power BI & Tableau Dashboards β Turning data into insights with calculated fields, parameters & actions β powerbi-tableau-dashboards (MIT)
βοΈ π§ Systems & Optimization
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Data Center Networks β TCP performance simulations using NS-3 β research-development-data-center-networks (BSD-2-Clause)
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IoT Routing Simulations β RPL-based experiments in Contiki-Cooja (energy, latency analysis, modified code & setups) β iot-routing-contiki (BSD-3-Clause)
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Intelligent 2D Packing Optimization β Heuristics & metaheuristics (Genetic Algorithm, Simulated Annealing, Cuckoo Search, NFP, Bottom-Left-Fill) for irregular nesting β intelligent-optimization (MIT)
π° πΌ Finance & Business Python
- JPMorgan Chase Python Training β Personalized fork with extensions and notes β jpmc-python-training-notes
π β¨ Other Explorations
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Climate & Sustainable Cities β Data explorations on environmental trends and urban sustainability β climate-sustainable-cities π± (MIT)
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Daily Motivation + Tennis Tips Agent β Fun Python agent with free quotes API & tennis tips β daily-motivation-tennis-fun (MIT)
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English & Turkish Grammar Notes β Personal handwritten PDFs π for tenses, cases, structures & differences (self-study fun) β English-and-Turkish-Language-Grammar-Notes π (MIT)
More coming soon: JP Morgan python training for Bussiness Analysts (publicly available now), more on paper reimplementations, and data analysis notebooks.
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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 Β· C++ Β· C basics Β· MATLAB Β· Pandas Β· Scikit-learn Β· TensorFlow/Keras Β· PyTorch Β· Hugging Face Β· LangChain Β· Data Visualization Β· Machine Learning Β· Deep Learning Β· LLMs Β· RAG Β· AI Agents Β· Anomaly Detection Β· Sentiment Analysis Β· NS-3 Β· Contiki/Cooja Β· Network Simulation Β· Optimization Algorithms Β· Power BI / Tableau
Bridging networking/simulations with data pipelines (publicaly avaiable now) , fraud detection, and frontier AI (daily Grok user & prompt tinkerer).
- Deep Learning & LLMs
- Prompt engineering with Grok
- Applied AI products for small businesses (ContentPilot)
- Real-world applications in fintech, sustainability, and fashion analytics
Thoughtful note: I am not perfect β CV of Failures
Fun unrelated note: Professionally bad at tennis πΎ β casual thoughts on X: @Seemi_Rauf
Open to Data Analyst, Business Analyst, ML / Applied AI opportunities.
π« X: @Seemi_Rauf
Feel free to star, fork, or reach out β happy to collaborate, let's build something useful! π