Data Scientist
CurrentDeveloped advanced machine learning and generative AI models to predict and optimize business operations, including time-series forecasting, resulting in a 30% decrease in manufacturing time.Deployed modeling tools that quickly and easily build convolutional neural networks, RNNs, fully-connected networks, and transformers for both classification and regressive problems.Established automated data analytic tools, pipelines, web-apps, dashboards, and sites using Python, Dash (Plotly), Pandas (dataframes), and R-connect to provide real-time data-driven insights to stakeholders.Led corporate technology adoption, integration, and digital transformation activities, resulting in a 90% reduction in manual data processing and increased data accuracy.Regularly queried and parsed big, small, regular, and irregular data-sets from a variety of sources like SQL databases, noSQL databases, and APIs to provide data-driven insights.Collaborated with scientists and engineers to design experiments, collect data, and develop computational tools, contributing to a 10% increase in research productivity.