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Brief Intro:

Hi there! My name is Leyli (Aya) Garryyeva. I am a PhD student studying Computer Science and a Data Sientist with over 7 years of experience cleaning, statistically analyzing, visualizing, and modeling data for research and decision-making.

  • 📚 During my PhD, I am focusing on cutting-edge research in applying AI and Machine Learning (ML) to improve human lives and experiences.
  • 🌱 Currently, I am exploring applications of causal inference in various domains and building my project portfolio.
  • 📈 My previous projects include using ML in healthcare diagnostics, deep transfer learning for image segmentation, evaluation of bugs in Software Defined Vehicles, and deep learning for autonomous driving tasks.
  • 👩‍🍳 🥾 🌳 🌊 📖 In my free time, I like baking, hiking and exploring, and reading historical fiction.

👩‍🎓 👩‍💻 My academic and professional journey

  flowchart RL
      A[BS in Math] --> B[MSc in CS];
      B --> C[PhD in CS];
      B --> D{Data Scientist at Seabourn};
      D --> E{Software Engineer at Miscrosoft};
      E --> F{Data Scientist at Hollan America Line};
      F --> C;
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⚒️ 💻 Technical Skills

🤓 Academic & Professional Background



My Stats:

LeyliG

Aya's github activity graph

Aya 's Projects

agentnet icon agentnet

Deep Reinforcement Learning library for humans

aidstream icon aidstream

AidStream is a platform for small and medium size NGOs to publish their aid data in IATI standard.

causalanalysistutorial icon causalanalysistutorial

Tutorial for end-to-end causal analysis from causal discovery to causal inference. causica, lingam and econml are the main libraries used for the tutorial.

cookiecutter-data-science icon cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

corrr icon corrr

R package for exploring correlations

des-python icon des-python

C code from Discrete Event Simulation: A First Course translated into Python

detectron2 icon detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

ds-take-home icon ds-take-home

My solution to the book A Collection of Data Science Take-Home Challenges

ds4se icon ds4se

Data Science for Software Engieering (ds4se) is an academic initiative to perform exploratory analysis on software engineering artifacts and metadata. Data Management, Analysis, and Benchmarking for DL and Traceability.

econ5305 icon econ5305

Files used for Econ 5305 - Forecasting class at the Seattle University, Spring quarter 2023

factoextra icon factoextra

Extract and Visualize the Results of Multivariate Data Analyses

fashion-mnist icon fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

freecodecamp icon freecodecamp

The http://FreeCodeCamp.com open-source codebase and curriculum. Practice coding by helping nonprofits.

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