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My experience working with Budtenders Association Canada has been both insightful and rewarding. I had the opportunity to work on real-world data pipelines and contribute to areas such as user segmentation and analytical design, which enhanced my technical and analytical skills. The project environment encouraged independent thinking and hands-on learning, allowing me to better understand how data-driven solutions are developed in practice. At the same time, clearer communication and more structured alignment across tasks could further improve collaboration and efficiency within the team. Overall, this experience has been a valuable step in my professional growth and has strengthened my interest in data analytics and machine learning.

My internship experience at Budtenders Association Ltd (BTA) has been highly valuable and professionally enriching. The organization provided a structured and supportive environment that allowed me to effectively apply my academic knowledge in a real-world consulting and analytics setting. Throughout the internship, I was given meaningful responsibilities that contributed to both my technical development and professional growth. The internship offered a well-balanced combination of learning, practical implementation, and independent problem-solving, which significantly enhanced my confidence as an emerging data analytics professional. During my internship, I developed a comprehensive set of technical, analytical, and professional skills: Technical Skills Advanced use of Power BI, including DAX, data modeling, and dashboard optimization Practical experience with SQL databases (MySQL and PostgreSQL) Data transformation and ETL processes using Power Query Understanding of star-schema design and dimensional modeling Exposure to API development, serverless architecture, and cloud deployment (Vercel) Hands-on experience with AI system design and LLM-based chatbot integration Analytical Skills Development of key performance indicators (KPIs) Segmentation and comparative data analysis Data validation and quality assurance Translating complex datasets into meaningful insights Enhancing data storytelling and visualization techniques