Gauri Godghase

About Gauri Godghase

I\'m a results-driven Data Analyst with 4+ years of experience transforming complex datasets into meaningful insights across industries like finance, healthcare, and education. I specialize in leveraging AI/ML, NLP, and cloud-native solutions to automate workflows, build intelligent systems, and drive data-informed decisions. I’ve delivered end-to-end analytics solutions at S&P Global, Workiva, and Cognizant—building robust data pipelines using AWS, DBT, and Airflow, creating LLM-powered applications using RAG and ChatGPT, and developing interactive dashboards in Power BI and Tableau that empower business users. 🧠 My expertise spans: 🤖 LLMs, RAG, NLP (ChatGPT, Claude) Cloud Platforms: AWS, Azure, GCP BI Tools: Power BI, Tableau, Looker Languages: Python, SQL, R Data Engineering: Airflow, DBT, Databricks Statistical Analysis: A/B Testing, Hypothesis Testing, Time Series Forecasting I’m passionate about combining data, storytelling, and AI to solve real-world problems. I thrive in cross-functional teams and love turning ambiguity into clarity through data. Let’s connect! Whether it\'s to discuss data strategy, LLM integration, or dashboard design—I\'m always up for a conversation.

Experience

1. Data Analyst

   S&P Global

   Jan 2024 — Present · US

   At S&P Global, I drive data innovation and performance by building scalable, cloud-native analytics solutions and applying cutting-edge AI techniques to improve business decision-making.Key Contributions: Built end-to-end data pipelines using AWS (S3, Redshift, Lambda) and DBT, reducing processing time by 40% and boosting data reliability for critical reporting workflows.🧠 Fine-tuned deep learning models (TensorFlow, PyTorch) for text classification and time series forecasting, resulting in a 25% reduction in model inference latency. Applied NLP and Retrieval-Augmented Generation (RAG) to extract actionable insights from unstructured academic data, enhancing executive decision support systems. Developed interactive dashboards in Power BI using DAX and Power Query, streamlining real-time reporting and improving stakeholder engagement. Automated data cleaning and transformation workflows in Python (pandas, openpyxl, Airflow), increasing reporting efficiency by 35%.🤝 Collaborated cross-functionally with product, engineering, and BI teams to align technical solutions with strategic goals.

Education

• San José State University

  Master's degree, Computer Science

• Maharashtra Institute of Technology

  Bachelor's degree, Computer Engineering