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rabotnev/README.md

Hi, I'm Daniil 👋

I'm a Data Science, AI, and Finance student based in Austria.

  • 🛰️ I build machine learning models in Python (scikit-learn, PyTorch) and R. In DsLab-ss26 infrared.city our team downscales satellite Land Surface Temperature to 10 m resolution and presents the results in a Flask case-study site.
  • 🧠 I'm currently deep in large language models. In austrian-tax-law-llm-finetuning I fine-tune with PyTorch & Hugging Face and built a 643-question benchmark and evaluated a QLoRA fine-tuned 5B model against a 31B zero-shot baseline: ROUGE, BLEU, BERTScore, and a manual analysis of how each one fails.
  • ⚡ I work with big-data pipelines using Apache Spark, PySpark, and Kafka. In NYCCitiBikeShare I dig through millions of NYC Citi Bike trips with Spark and SQL.
  • 💹 On the finance side I run market research through the Bloomberg Terminal and LSEG Workspace and write up in LaTeX. In dax-certificate-pricing I price DAX index certificates by Monte Carlo in R.
  • 🔨 On the side I'm learning iOS with Swift and SwiftUI, and building small things for the web with React, TypeScript, and Node.js.
  • 🏎️ Driven by innovation and competition — a huge Formula 1 and Tennis fan.

Technical Skills & Tools

  • Languages: Python, R, SQL (PostgreSQL), Swift, TypeScript, JavaScript
  • Data Science & ML: pandas, NumPy, matplotlib, seaborn, scikit-learn, PyTorch
  • Big Data & Streaming: Apache Spark, PySpark, Apache Kafka
  • Web & Mobile: Flask, SwiftUI, React, Node.js
  • Cloud & DevOps: Docker, Git, GitHub, Google Cloud Platform, Google AI Studio
  • BI & Finance: Bloomberg Terminal, LSEG Workspace, MS Excel, MS Power BI, MS PowerPoint
  • Docs & Design: LaTeX, Miro, Canva

Connect on LinkedIn

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  1. DsLab26S_infrared.city-2 DsLab26S_infrared.city-2 Public

    A statistical downscaling pipeline using machine learning (XGBoost, Random Forest) to predict fine-grained Land Surface Temperature (LST) on 10-meter grids. Integrates Landsat 8/9, Sentinel-2 image…

    Jupyter Notebook 1

  2. austrian-tax-law-llm-finetuning austrian-tax-law-llm-finetuning Public

    LLM evaluation on a 643-question Austrian tax-law benchmark: ROUGE, BLEU and BERTScore plus a manual failure-mode analysis. Compares a QLoRA fine-tuned 5B model against a 31B zero-shot baseline; th…

    Jupyter Notebook 1

  3. NYCCitiBikeShare NYCCitiBikeShare Public

    Citi Bike NYC Trip Data Analysis Using Apache Spark

    Jupyter Notebook 1

  4. dax-certificate-pricing dax-certificate-pricing Public

    Monte Carlo pricing of DAX-linked index certificates under the risk-neutral measure

    R 1