Priya Dhage is a Principal Data Scientist at Ascentt, bringing five years of industry experience in solving complex business problems through data-driven solutions. She holds a Master’s degree in Industrial Engineering from the University of Michigan-Dearborn, where she honed her expertise in optimization, predictive modeling, and advanced analytics. Priya has led and contributed to multiple high-impact projects, including topic modeling, time series analysis, predictive modeling, data analysis, and optimization, demonstrating her ability to translate raw data into actionable insights.

From her perspective, Python is an indispensable tool for success in the data science industry. It is not just a programming language but a powerful ecosystem that enables efficiency, scalability, and innovation in problem-solving. Its versatility—ranging from data wrangling to machine learning and deep learning—makes it the backbone of modern analytics and AI-driven decision-making. Through her experience in tackling real-world challenges, she has seen firsthand the importance of Python’s flexibility and vast library support, making it a must-have skill for aspiring data scientists and professionals.

Having worked on diverse projects across industries, she has witnessed how mastering Python unlocks new possibilities, enabling professionals to automate tasks, build predictive models, and drive data-informed strategies. Her goal is to bridge the gap between academic knowledge and industry application, ensuring that readers gain not just theoretical understanding but also hands-on expertise that will propel them forward in their careers. With a commitment to continuous learning and innovation, she strives to mentor and inspire the next generation of data scientists, equipping them with the tools they need to turn data into impact.