Preetiha Jayashanker

As a Senior Data Scientist at BNY Mellon, I focus on implementing generative AI models and the pipelines that support them. My work primarily revolves around using AI to automate, augment, and enhance the quality and performance of our financial products. I leverage advanced AI and machine learning techniques to address complex challenges, helping to drive innovation and efficiency across the bank. My key responsibilities include designing AI-powered solutions that fit seamlessly into our existing workflows, building scalable models, and implementing data pipelines that facilitate real-time decision-making. From prototyping to production deployment, I work with an incredible team to ensure the models are robust, reliable, and tailored to meet the unique needs of our business.

Developed a highly interpretable forecasting model to predict the future demand of commercial products. Utilized Snowflake and AWS Workspaces to process time series data from three clients. Devised a statistical technique to reconcile the demand of products at different market levels.

Analyzed customer preference data for online products using R data manipulation techniques. Experimented with clustering and regression ML techniques to predict correlation between customer preferences. Built client dashboards using Google Analytics and Google Ads Optimization.