Sai Sathwika Palle

Data analytics enthusiast with a Master's in Business Analytics and a Bachelor's in Commerce. Skilled in Python, SQL, Excel, SPSS, SAS software, Tableau and Power BI along with predictive modeling. Strong in transforming complex data into actionable insights.Passionate about machine learning.Seeking entry-level roles in Data Analysis, Data Science, or Business Analysis to contribute to data-driven decision-making.

• SAS Certified Predictive Modeler Using SAS Enterprise Miner 14

• Secured 8th rank of 108 teams in the global SAS® Student Competition, 'Curiosity Cup'-2024

• Predicting Airline Passenger Satisfaction with SAS Miner Predicting Airline Passenger Satisfaction with SAS Miner

Utilized SAS Miner for comprehensive data cleansing and performed in-depth statistical examinations, including T-tests, Chi-Square tests, and ANOVA.Leveraging SAS Miner, I constructed predictive models like logistic regression, decision trees, neural networks, and random forests. I identified the most effective model to pinpoint the key factors impacting passenger satisfaction. This analysis enables organizations to focus on enhancing critical areas, ultimately improving customer satisfaction.

• Probability Default Model for Bankruptcy Prediction Probability Default Model for Bankruptcy Prediction with Excel

Developed a model to identify companies at risk of bankruptcy within two years. Collected and analyzed financial metrics data from 50 companies, including current assets, current liabilities, shareholders' equity. This model helps in early identification of financial distress, enabling stakeholders to make informed decisions and take proactive measures.