Passionate about harnessing the power of data to drive innovation and solve complex challenges. As a Computer Science graduate student at the University of New Brunswick, I bring hands-on experience in data analytics, Python scripting, and developing scalable data pipelines and machine learning models. My journey is one of continuous learning, staying updated with the latest advancements in Data Science, Machine Learning, and AI.Specializing in Data Engineering, AI, and Data Science, my technical expertise includes Python-based ETL processes, Azure cloud services, TensorFlow, and Apache Spark. I have a proven track record of automating data collection, enhancing efficiency, and improving data accuracy. I have developed NLP-based solutions and implemented deep learning models.In my professional experience, I have designed and built robust ETL pipelines, ensured data quality and security, and leveraged both SQL and NoSQL databases. I am skilled in streamlining machine learning workflows and possess a strong foundation in data modeling and cloud-based data solutions. My qualifications are further solidified by multiple Microsoft certifications in data science, AI, and data engineering.I am currently seeking full-time and part-time opportunities in Data Science, Python development, Machine Learning, and Data Engineering. I am excited to connect with professionals and organizations where I can contribute my skills to drive data-driven decision-making and innovation.