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👋 Hi there, I'm Liza Saigina!

As the Co-Founder of WARDROBERS, aiming to merge AI with the fashion industry to offer a sustainable and personalized rental experience. My journey from a Data Scientist to leading a startup was motivated by my passion for harnessing AI and technology to create meaningful, user-centered solutions.

🚀 What I'm focused on:

  • Leading WDBRS tech vision, driving innovations in AI for personalized outfit suggestions and virtual fitting rooms. Our mission is to revolutionize the way people think about fashion, making it more accessible, yet sustainable.
  • Implementing and managing our tech stack focusing on Google Cloud products, facilitating seamless full-stack engineering and deployment processes. While my role encompasses broad technical responsibilities, it aligns closely with creating a resilient, user-first platform.

💼 Background Highlights:

  • Extensive experience in AI (Computer vision), demonstrated through projects like developing a pioneering computer vision algorithm at Haut.AI.
  • Proven leadership in tech innovation, managing cross-functional teams, and executing full-cycle software development projects.
  • Educational foundation with an MSc in International Business at Hult International Business School to sharpen my business acumen.

🛠 Technical Expertise:

  • AI & ML: Deep proficiency in Python (PyTorch, OpenCV), data visualization (Seaborn, Matplotlib), and ML deployment (GCP, Docker, Azure ML, GitHub CI/CD).
  • Full-Stack Development: Versatile in Python (FastAPI, Pydantic, SQLAlchemy), JavaScript, React.
  • Leadership & Agile Management: Skilled in leading team projects from conception to launch, leveraging tools like Jira and Confluence.

🌍 I'm currently seeking opportunities in the US that align with my expertise in data science, particularly in projects that leverage AI to make a positive impact.

🔗 Let's connect!

  • LinkedIn
  • For a glimpse into my work and contributions, check out my GitLab and GitHub.

Elizaveta Saigina's Projects

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Combination of different Data and Business Analytics projects, done with python and different machine learning techniques.

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Smart House Microclimate Control Internet of Things

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