Projects
Created a project focusing on product categorization and customer segmentation, utilizing advanced machine learning techniques to automate classification tasks and enhance marketing strategies, resulting in streamlined processes and improved targeting for increased efficiency and customer engagement.
Created a portfolio optimization project leveraging quantitative analysis and machine learning algorithms to maximize returns and minimize risks, resulting in enhanced investment strategies and improved portfolio performance.
Successfully designed and implemented a sophisticated suite of generative AI bots using Llama2, Stable Diffusion, and Claude within the AWS Bedrock environment, leveraging Boto3 for Python-AWS connectivity and Streamlit for user interface development, thereby showcasing expertise in deployment and innovation.
Created a scalable and reusable application of Generative AI by masterfully developing two sophisticated, intelligent chatbots, one leveraging the advanced capabilities of the Llama and HuggingFace libraries and the other utilizing OpenAI and robust Retrieval Augmented Generation (RAG) architecture.
.webp)
Executed a live stock price prediction project employing diverse deep learning models, facilitating informed investment decisions through accurate forecasting and real-time market insights.
Developed a Bi-LSTM and Ensemble based approach for bilingual sentiment analysis of code-mixed Hindi-English social media text, enhancing understanding of nuanced language patterns and sentiment trends across diverse linguistic contexts.
Created an advanced Capital Asset Pricing Model (CAPM), enhanced with Artificial Intelligence (AI), which offers an idealized portrayal of how financial markets price securities and determine expected returns on capital investments. This model provides a robust methodology for quantifying risk and leveraging AI algorithms to translate that risk into accurate estimates of expected return on equity.
