Data and Analytics Professional

A Data and Machine Learning Specialist is responsible for managing, analyzing, and leveraging data to drive business insights and develop predictive models. This role combines elements of data science, data engineering, data management, and machine learning to ensure data-driven decision-making and innovation. Responsibilities: Data Collection & Management: Gather, clean, and organize data from various sources to ensure its accuracy and accessibility. Data Analysis: Utilize statistical methods and machine learning tools to analyze data and uncover trends and patterns. Pipeline Development: Design and maintain efficient data pipelines and architectures to facilitate seamless data flow. Model Development: Create, test, and optimize machine learning models and algorithms to solve complex problems. Reporting & Visualization: Present findings through detailed reports and visualizations to communicate insights effectively. Collaboration: Work closely with cross-functional teams, including software engineers, data scientists, and business analysts, to implement data-driven solutions. Performance Optimization: Continuously improve data delivery, scalability, and model performance. Documentation: Maintain thorough documentation of processes, models, and results. Requirements: Bachelors or equivalent degree with over 5+ years of experience and proficiency in programming languages such as Python, SQL. Strong knowledge of cloud platforms like AWS, Google Cloud, or Microsoft Azure. Experience with data visualization tools and techniques. Solid understanding of machine learning algorithms and statistical analysis. Excellent problem-solving skills and attention to detail. Ability to collaborate effectively with diverse teams.