Sai Bhavana H

Data Scientist @Verizon

Irving, TX, US

Implemented a demand forecasting tool, utilizing Autoregressive (AR), Moving Average (MA), and Integrated Time Series models, with a focus on optimizing inventory through accuracy measures like AIC and BIC.• Developed and fine-tuned Large Language Models (LLMs) for various applications, including text generation, summarization, and translation.• Implemented NLP techniques using LLMs to enhance text analysis and improve understanding of context in unstructured data.• Employed Natural Language Processing (NLP) techniques to extract and standardize complex data elements from product information. Developed a TF-IDF model to customize the buying experience based on individual customer preferences.• Advocated for responsible AI practices by implementing transparency measures in AI/ML models to build Trust AI in various applications.• Developed explainable AI solutions that provide clear justifications for model predictions, enhancing Trust AI among stakeholders and end-users.• Conducted bias assessments on AI models to ensure fairness and equity in decision-making processes, reinforcing Trust AI in AI systems across industries• Prototyped and constructed clustering models to categorize customers according to relevant metrics, enhancing retention strategies by gaining deeper insights into customer behavior.• Generated visually engaging dashboards in Tableau to comprehensively analyze product performance and fine-tune pricing strategies.• Engineered and improved generic Extract, Load, transform (ELT) pipelines, providing enhanced flexibility in processing customer data and utilizing Databricks for end-user analysis.• Utilized GitHub as a code repository and actively participated in code reviews, ensuring high-quality code and promoting collaborative development within the team.