Penta Uma Mahesh

Results-driven Generative AI Engineer with expertise in developing APIs and AI models that optimize operational efficiency at Random Trees. Demonstrated analytical skills and problem-solving abilities have driven substantial enhancements in data processing tasks. Successful track record of delivering multiple proofs of concept and innovative AI agents, showcasing a strong commitment to impactful solutions. Proficient in Python and thrives in collaborative, cross-functional environments.

Predictive Analysis for calculation of runs conceded and scored in cricket - A

Machine learning approach.

• We developed a model to predict the maximum runs that can be conceded by a

bowler and the maximum runs batsman can score in the upcoming matches.

• Guided valuable insights into the factors that contribute to player success in

cricket and help teams make informed decisions about player selection and

strategy.

Web Scraping and Data Visualization Project

• Developed a Python web scraper using BeautifulSoup and integrated a Large

Language Model (LLM) for enhanced data extraction and processing.

• Created an interactive frontend using Streamlit to display the scraped data in an

easy-to-navigate format.

• Ensured error handling and modular design for seamless data processing and

integration.

• Created an interactive frontend using Streamlit to display the scraped data in a

user-friendly format, enabling seamless navigation and information retrieval.