Architected and implemented a generative AI system customized for precise question answering within table-based scenarios. Furthermore, executed fine-tuning of the foundational transformer-based large language model.Developed a machine learning algorithm to determine the propensity score for lead-to-customer conversion. Used propensity score to inform business decisions and improve conversion rates by 20%.Developed and implemented a Markov Chain Attribution Model and Shapley attribution Model to analyze the customer journey and identify the most effective touchpoints for conversion. Improved conversion rates by 10% by leveraging insights from the model to optimize marketing strategies.Developed and implemented a machine learning algorithm for budget optimization with carry-over effect and diminishing effect. Achieved a 15% increase in conversion rates and a 20% reduction in marketing costs. Presented findings to stakeholders using visualizations and statistical metrics.Developed and deployed a resume parser to extract information from resumes using generative AI and fetch photos from resumes using a face detection algorithm.

Collaborated with the data engineering team to design and implement ETL processes for large datasets, including data cleansing, transformation, and storage.Worked with Flask and FastAPI web frameworks to develop and deploy machine learning models as RESTful APIs for real-time predictions.