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florykhan/README.md
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Hello, I'm Ilian 👋

CS & Math @ SFU · Data, ML, Software


PortfolioLinkedInEmailResume

🔭 Current focus

Building software, machine learning, and data analytics projects. Interested in applied ML, data engineering, and clean systems.

  • Data — Cleaning, analysis, and visualization (SQL, Python, Tableau); dashboards and BI for exploratory and market-style work.
  • ML — End-to-end pipelines, feature engineering, interpretable models (e.g. CatBoost), and evaluation (ROC AUC, calibration, cross-validation); regression and classification.
  • Software — Full-stack web apps (React, Flask), APIs, geospatial/maps (e.g. Leaflet), and LLM or voice-driven UIs.

📁 Featured projects

Data Analytics & BI

ProjectDescriptionTech
customer-churn-dashboardEnd-to-end churn analytics: SQL → R → Tableau pipeline (Telco dataset). Executive dashboard for churn patterns, high-risk segments, revenue at risk.SQLSQLiteRdplyrtidyrTableau
airbnb-market-analysisVancouver Airbnb: raw CSV → Python ETL → SQLite, SQL aggregation, interactive Tableau dashboard for pricing, neighbourhood, and room-type insights.PythonpandasSQLiteSQLTableauJupyter

Machine Learning Projects

ProjectDescriptionTech
graduate-underemployment-predictionFull ML pipeline for predicting overqualification (underemployment) from NGS hiring data. CatBoost, stratified K-fold CV, feature importance, optional SHAP. SFU ML Hackathon.PythonCatBoostscikit-learnpandasSHAPJupyter
house-price-ml-v2Modular ML pipeline for California median house price prediction: feature engineering, OLS/Ridge/Lasso, custom Gradient Descent, 5-fold CV, hyperparameter tuning.Pythonscikit-learnpandasNumPyMatplotlibJupyter

Full-Stack Applications

ProjectDescriptionTech
FutureSpendCalendar-driven personal finance: predicts upcoming spend from events, category-based pipeline, dashboard with 7-day forecast, challenges, AI coach (Gemini). Next.js + FastAPI. SFU/RBC hackathon.Next.jsTypeScriptTailwindFastAPIRechartsGemini
TelusGuardAIAI-powered network impact analyzer: multi-agent orchestration (Gemma, GPT), NL queries, web/weather intel, geospatial impact. Interactive Leaflet map, severity and confidence scoring.ReactViteLeafletFlaskLLM
GymWhisperVoice-powered workout tracking: hands-free logging via speech → Gemini API parses to structured exercises; client-side, bilingual (EN/FR).ReactGeminispeech-recognitionFramerMotion

Independent Projects

ProjectDescriptionTech
florykhan.github.ioStatic portfolio: projects, experience, education, contact. Vanilla HTML, CSS, JavaScript. GitHub Pages + CI/CD.HTMLCSSJavaScript

🎯 Tech stack

From featured projects above.

Languages
PythonRSQLJavaScriptTypeScriptHTMLCSS

ML & data
pandasNumPyscikit-learnCatBoostMatplotlibSeabornJupyterTableauSQLiteSHAP

Web & tools
ReactNext.jsViteFlaskFastAPILeafletTailwind CSSLLM

📊 Stats

GitHub streak

📅 Activity

GitHub contribution graph

🤝 Let's connect

Reach out for collaboration, internships, or just to say hi.

Portfolio · LinkedIn · Email · Resume (PDF)

Pinned Loading

  1. FutureSpendFutureSpendPublic

    AI-powered personal finance dashboard that predicts upcoming spending from calendar events and transaction data. Built with Next.js, TypeScript, Tailwind, and a Python API deployed on Render.

    TypeScript 2

  2. customer-churn-dashboardcustomer-churn-dashboardPublic

    End-to-end analytics pipeline (SQL → R → Tableau) for telco customer churn: KPIs, segment breakdowns, and revenue at risk.

    R

  3. graduate-underemployment-predictiongraduate-underemployment-predictionPublic

    End-to-end ML pipeline for predicting graduate underemployment from NGS 2020 survey data, including EDA, feature engineering, categorical-aware modeling with CatBoost, and ROC AUC validation.

    Jupyter Notebook 1

  4. airbnb-market-analysisairbnb-market-analysisPublic

    End-to-end data analysis of Vancouver Airbnb listings using SQL, Python, and Tableau dashboards.

    Jupyter Notebook

  5. TelusGuardAITelusGuardAIPublic

    AI-powered network impact analyzer. Natural-language queries → multi-agent pipeline → geospatial impact + interactive Leaflet map. Flask + React.

    JavaScript

  6. house-price-ml-v2house-price-ml-v2Public

    End-to-end ML pipeline for California house price prediction. Features engineered data, OLS/Ridge/Lasso models, custom Gradient Descent, cross-validation, hyperparameter tuning, and a full training…

    Jupyter Notebook