AASHI AGARWAL

Designed a Linear regression model for a Food Manufacturing Client. Determined the factors which can increase sales by up to 5 %. Visualised the products with the highest business opportunity and potential competitors for our client in each product. Meetings with clients for information gathering and understanding requirements. Designed the wireframe and BRD for the developers. Collected and preprocess the data for sheet manufacturing client. Led a high-performing team of developers for the development of internal data management solutions.

Overseeing the coding and implementation of innovative solutions for optimizing ship scheduling in the Oil and Gas Industry. Demonstrated expertise in managing complex supply chain processes and leveraging data science methodologies to ensure timely arrivals and enhance operational efficiency. Building SVM, Logistics Regression (Machine Learning), and LSTM(Tensorflow), Bert(hugging face) models from Python to do Documents classification using document’s text.

Develop a Face Recognition Algorithm with the help of a face recognition library to detect faces after wearing a mask. Accuracy was 86.9 %. Build Decision Trees and Random Forest models to predict the effective utilization of the cellular networks by reducing energy consumption and time taken to optimize and was accurate up to 82%. Design the data pipelines using Azure Cloud.