Urangoo Batsukh

• Helped build 'StyleMate,' a system that recommends clothing choices from a user's wardrobe based on their preferences.
• Key Tasks:Data Management: Set up Azure Blob Storage for organizing and retrieving large amounts of data efficiently.
  Algorithm Development: Created machine learning algorithms to suggest outfits that match user preferences.
  System Integration: Used a Raspberry Pi to ensure all parts of the system worked smoothly together.
  Web Application Development: Developed an easy-to-use web application with Python Flask, hosted on Azure Web Apps.
  Testing and Refinement: Rigorously tested the system to guarantee it worked well and met user needs.
  
• Technologies Used: Python Flask, Azure Blob Storage, machine learning tools, Raspberry Pi, and Azure Web Apps.
• Outcome: Enhanced skills in cloud computing, IoT devices, and building full-stack web applications, focusing on user-driven solutions.

• Membership Registration: Actively promoted and signed up customers for the Ralph Lauren membership program, involving accurate data entry and management of customer information.
• Built relationships with customers to encourage repeat business.
• Managed returns, exchanges and refunds in accordance with store policy.
• Team Collaboration: Worked collaboratively with team members to meet daily sales targets and contribute to the store’s monthly goals, honing teamwork and communication skills.
• Problem Solving: Addressed and resolved customer issues regarding returns, exchanges, and complaints, demonstrating ability to manage and rectify conflicts effectively. "can you make it bit simple or short

Created a software system to help restaurants manage their operations more efficiently using Python.

• System Design: Built a flexible and easy-to-update system that reflects how real restaurants work.
  Feature Implementation: Developed important features like managing stock, processing orders, and keeping track of customer relationships.
  User Interface Development: Made a user-friendly interface that restaurant staff could quickly learn and use.
  Testing and Refinement: Tested the system thoroughly to fix any issues and improve its functionality based on feedback.
  
• Technologies Used: Python, focusing on object-oriented programming methods.
• Outcome: Gained valuable experience in creating software solutions and designing user-friendly systems, ready for more complex data projects.