Sakshi Vishwakarma

Contributed to a real-time parking detection system using YOLO for object detection; involved in coding and ideation to enhance vehicle and parking space identification. Managed dataset preparation, image annotation, and preprocessing to ensure efficient data handling and quality control. Created comprehensive documentation outlining architecture, preprocessing steps, and model training to facilitate knowledge transfer and future development.

Improved FedEx’s forecasting by 30% using data analysis, statistical methods, and predictive modeling. Delivered practical insights and tailored recommendations that enhanced operational efficiency and supported better business outcomes. Enhanced operational efficiency at Ascension Healthcare by driving AI-based solutions for inventory management, accounts payable/receivable, and invoicing, ensuring smooth project initiation and improved decision-making processes in Finance and SCM teams. Worked in ’firm initiative’ for developing AI solutions with ResNet and VGG for logo detection and RNN for fraud detection in client emails, enhancing internal capabilities and reducing third-party reliance.

Conducted in-depth trend analysis to identify patterns in financial data, enabling proactive decision-making for COTY. Leveraged machine learning algorithms in Python to develop predictive models, significantly enhancing the accuracy of financial forecasts. Provided technical assistance to the finance team to develop current and forecast models for invoice management, focusing on the order-to-order (O2O) cycle, accounts payable (AP), and accounts receivable (AR) data for BodyArmor. This initiative improved prediction accuracy by 27%, enhancing financial operations and decision-making processes.