Sai Yoshitha Murari

Goal-oriented professional successfully assists companies by developing and implementing updates to operational standards, team organization and employee engagement strategies. Proactive and personable leader with top-notch skills in streamlining information, prioritizing tasks and approaching issues with analytical mindset. Bringing years of experience and demonstrated track record of success.Also, Analytical and insightful Data Analyst known for productivity and efficiency in task completion. Specialize in data visualization, statistical analysis, and predictive modeling. Excel in problem-solving, critical thinking, and communication, ensuring successful project outcomes and team collaboration.

Breast Cancer Prediction System, Python, NumPy, Pandas, Seaborn, Developed a breast cancer predictive model employing advanced algorithms including Support Vector Machine, k-Nearest Neighbor, and Decision Tree. Integrated these algorithms using ensemble learning techniques to enhance accuracy, resulting in a performance improvement to approximately 96% compared to existing classification models., Published a research paper based on the project's findings, showcasing expertise in Python programming, data manipulation with NumPy and Pandas, and data visualization using Seaborn. Semantic Segmentation using deep learning: blood cells, Python, SegNet, Implemented a cutting-edge solution for semantic segmentation utilizing the SegNet deep learning technique to distinguish between red blood cells and white blood cells in peripheral blood smear images., Achieved an accuracy of approximately 80% in cell segmentation, demonstrating proficiency in Python programming and deep learning frameworks like SegNet. Additionally, visualized segmentation results using feature maps, showcasing expertise in data visualization techniques. Customer Churn Prediction on Sparkify Dataset, Python, Matplotlib, AWS, pandas, Spark SQL, Tableau, Developed and deployed a customer churn prediction model on Sparkify using Python, Spark SQL, and AWS, with effective visualization using Matplotlib and Tableau.