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Ginni Taneja

Data Scientist

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About

Starting my career as a Risk Analyst at Xceedance, I quickly demonstrated my ability to leverage data for impactful business insights. In this role, I utilized Excel and SQL to manage location data and conduct catastrophe analyses, which supported critical premium decisions and policy planning for clients. This foundational experience in data analysis and quality improvement set the stage for my transition into the realm of advanced data science and machine learning. Joining CARS24 as a Data Scientist marked a pivotal advancement in my career, where I significantly expanded my expertise in machine learning models for dynamic pricing, recommendation systems, user personalization, and user search optimization. My proficiency in new technologies such as Python, SQL, GCP, and Streamlit, along with my ability to conduct A/B testing and manage end-to-end deployment of models, has been instrumental in my success. My role at CARS24 focused on leveraging machine learning techniques such as dimensionality reduction, clustering, and gradient boosting. I also automated model evaluation processes by integrating daily metric tracking with Google Sheets and Slack notifications, streamlining performance validation and ensuring continuous improvement. In addition to these technical achievements, I developed advanced user personalization and inventory sorting algorithms. By optimizing car inventory displays based on individual user activity history, I drove significant improvements in user engagement and satisfaction. Throughout my career so far, I have consistently delivered end-to-end data science projects with minimal supervision, demonstrating a strong commitment to leveraging machine learning and data science for practical solutions. My contributions have been recognized with accolades such as the "New Rider on the Block" award at CARS24.