Sai Sateesh G

Data Analyst @Charles Schwab Corporation Foundation

US

Built and automated ETL pipelines using AWS Glue and Apache Airflow, integrating structured and unstructured financial data into Hadoop HDFS for scalable analytics. Applied logistic regression and cohort analysis to assess investor retention trends and evaluate client lifecycle stages, improving segmentation accuracy by 20%. Developed predictive models using scikit-learn and historical sentiment data to forecast short-term portfolio shifts, increasing forecasting precision by 18%. Conducted A/B testing to evaluate the effectiveness of new client communication strategies, driving statistically significant results for outreach campaigns. Leveraged Python (Pandas, NumPy, spaCy, VADER) and PySpark to process and analyze 10M+ rows of financial text and transactional data. Designed and deployed Power BI dashboards tracking investor behavior, market sentiment, and pricing trends, accelerating executive decision-making by 20%.