Jori Baaljahr

Articial Intelligence student specializing in machine learning, robotics, and full-stack development. Successfully completed an intensive two-month summer training in AI, mechanics, electronics, and web development. Experienced in developing awardwinning projects such as NASA Space Apps and Red Sea Hackathon. Holds a Nano Degree in Machine Learning and multiple AI certications. Procient in programming languages and technologies, including Python, C++, Java, TensorFlow, Flutter, and SQL, with expertise in AI model development. Seeking a cooperative training opportunity to apply my skills, collaborate with experts, and further grow in a dynamic professional environment.

• Machine Learning Specialization
• Supervised Machine Learning: Regression and Classification
• Unsupervised Learning
• Recommenders
• Reinforcement Learning
• Advanced Learning Algorithms
• AI Bootcamp Completion Certificate
• Machine Learning Nanodegree
• International Computer and Internet (IC3)
• Deep Neural Networks: Hyperparameter Tuning, Regularization, and Optimization
• Programming for Everybody

• Third Place in the Red Sea Hackathon for developing the 'صﻮﻏ' diving application.
• Top 10 Ranking at the NASA Space Applications Hackathon for the 'Orbscop' project, predicting satellite locations in real-time.

• "غوص" - Red Sea Hackathon
  Designed to enable tourists and divers to explore the Red Sea using advanced AI and virtual reality technologies. Provides virtual tours of suitable diving spots through interactive maps and allows users to book diving trips and other sea activities with certified companies.
• "Orbscop" - NASA Space Applications Hackathon
  Simplifies real-time satellite tracking and interaction with astronomical data through a recommendation system. Includes predictions of astronomical events throughout the year, along with a research section and a chat feature to connect users with others interested in the same field.
• Organ-Matching Database Design
  Designed to improve the efficiency of the organ donation system, reducing wait times and increasing the chances of saving lives. Organizes data structures to facilitate seamless connections between donors and recipients, with a priority-based matching system to optimize the donation process.
• "Drbana" Virtual Reality Tourism Application
  Designed to enhance the travel experience by enabling virtual exploration of historical sites and integrating a comprehensive booking system for flights, hotels, and entertainment venues, streamlining trip planning.
• Flight Delay Classification Project
  Developed an intelligent classification model to predict flight delays over 15 minutes based on data such as weather conditions, flight schedules, and airport data. Achieved high accuracy using machine learning algorithms, helping airlines improve resource allocation, optimize flight schedules, and reduce costs while enhancing customer satisfaction.
• Smart Diet Optimization and Regression
  Developed an optimization model to create cost-effective nutritional plans that meet specific dietary goals, such as weight loss or managing health conditions. Uses regression techniques to find the best food combinations at the lowest cost, improving both health and affordability.