Dhruv Goel

Background

About Dhruv Goel

I am a Data Scientist with experience of 4 years in building scalable AI solutions, predictive models, and data-driven strategies that enable business growth and operational efficiency. At Wolters Kluwer, I have led projects ranging from deploying interactive chatbots and developing account scoring models to conducting market sizing analyses that informed product positioning and go-to-market strategies. My expertise spans machine learning, predictive analytics, and data engineering, with strong proficiency in Python, PySpark, SQL, and advanced frameworks such as Scikit-Learn and Gradio. I have a proven track record of translating complex data into actionable insights, partnering with cross-functional teams, and integrating models into business workflows to maximize impact. Previously, I have worked on projects including lead identification through web scraping, customer feedback analysis using large language models, and predictive modeling for sales opportunities. These experiences have strengthened my ability to solve real-world problems by combining technical depth with business acumen. I am passionate about leveraging data science and AI to uncover growth opportunities, improve decision-making, and shape strategic outcomes.