guptaabhishek2719

● Achieved a 20% increase in grading accuracy and revenue by contributing to the development of an Automated Electronics Grading System. ● Developed a high-quality training dataset of 4,000 images using polygon and bounding box tools in Roboflow, ensuring accurate and consistent defect labelling for effective machine learning model training. ● Developed machine learning models using Python to predict customer churn, achieving an accuracy rate of 85% and providing actionable insights that informed retention strategies. ● Created insightful dashboards using Power BI to visualize key metrics (major/minor dents) for improved decision-making. ● Collaborated with product and management to identify and prioritize business needs, resulting in the creation of a new dashboard that provided real-time insights into key performance indicators and increased team productivity by 20%. ● Created visualizations and reports using Tableau and Excel that were used by stakeholders to make data-driven decisions, resulting in a 15% increase in revenue.