Dedicated Data Science Professional with Software Development, Business Analysis, and Project Management ExpertiseWith a robust background in software development, business analysis, and project management, I've successfully transitioned into data science, leveraging my expertise in predictive analytics and machine learning. My journey is driven by a passion for merging business acumen with technical skills to deliver impactful data-driven solutions.My experience includes working with ETL processes, data warehousing, and implementing data-driven solutions in a Fortune Global 500 company. Through years of experience as a Business Analyst and Development Manager/Project Leader, I've honed my ability to bridge technical concepts with business objectives, successfully implementing projects across multiple international regions.I have demonstrated adaptability and a commitment to continuous learning throughout my career. I recently completed the Applied Data Science Program at MIT Professional Education, involving hands-on machine learning projects such as recommendation systems and predictive modeling.I have a solid foundation in Python programming, SQL, statistical analysis, and data visualization tools like Matplotlib and Seaborn. As a self-motivated problem-solver with a keen eye for detail and a strategic, big-picture perspective, I excel in effective collaboration with diverse teams and stakeholders.I am currently exploring Data Science opportunities and eager to apply my unique combination of business experience and newly acquired data science skills to new challenges. I welcome you to connect with me at sophiazmliang@gmail.com to discuss how my skills can add value to your organization.Github: https://github.com/sophiazmliangKaggle: https://www.kaggle.com/sophiazmliang