• Led data collection, cleaning, and analysis, extracting crucial insights for ongoing research and decision-making• Collaborated on statistical modeling projects using Python and R, elevating the accuracy and reliability of data-driven analyses• Facilitated instructional sessions on R and Python programming, simplifying intricate concepts for enhanced comprehension and skill acquisition

• Revamped payment prediction model, surpassing the previous version with a 19% boost in accuracy and a substantial 30% improvement in data quality• Extracted, transformed, and loaded data from multiple sources, including Oracle databases using Python and SQL• Built interactive dashboards and visualizations in Power BI to communicate data insights clearly• Achieved 89% accuracy rate by skillfully implementing a Decision Tree model, reflecting a meticulous approach to enhance predictive analytics for superior accuracy and valuable insights

• Conducted comprehensive data analysis, interpreting complex datasets to derive actionable insights• Employed advanced tools and technologies, including Python, SQL, and Power BI, to extract, clean, and analyze large datasets• Developed and executed database queries and conducted analyses that identified process improvement opportunities, resulting in 20% increase in operational efficiency • Communicated complex technical findings in clear and concise terms to both technical and non-technical stakeholders