As a Data Science student at The University of British Columbia, I am passionate about exploring the power of data for predictive modeling and intelligent decision making. I have received multiple scholarships for my academic excellence, such as the Deputy Vice-Chancellor Scholarship and the Outstanding International Student Award.I have also gained hands-on experience as a Data Analyst Intern at Jangoo Technologies, a company that specializes in offering innovative AI solutions for the global automotive industry, ministry of defense, and businesses. I successfully completed two projects involving sought-after platforms like Tableau, Snowflake, and Grafana, and developed prediction models and image classifications using Python, Keras, and Google Collab. I utilized datasets to assess road quality, landscapes, and obstacles for the Passive Vehicular Sensors Dataset, which aimed to achieve intelligent vehicle perception based on inertial sensing and artificial intelligence.I am eager to learn from different industries that make use of big data to guide their next best actions, and to contribute to their goals and challenges. I am proficient in SQL, Python, R, and other data analysis and machine learning tools, and I have effective communication and business skills that I enhanced during my previous internship at Adven Biotech, where I contacted doctors and pharmacies and analyzed their preferences and feedback using Excel, SQL, and R.