BELLAMKONDA SAI BHARADWAJ

Aspiring to secure a challenging and growth-oriented position in a reputed organization where I can effectively contribute my technical knowledge, problem-solving abilities, and dedication to achieve the organization’s goals. I aim to continuously enhance my skills, embrace new challenges, and grow both professionally and personally while being a valuable asset to the team.

• Python for Data Science Acme Grade Gained a strong foundation in Python programming with a focus on data analysis, visualization, and manipulation using libraries like NumPy, Pandas, and Matplotlib. Learned to apply Python skills to real-world data science problems.
• Introduction to Tableau My Great Learning Gained hands-on experience in data visualization using Tableau. Learned to create interactive dashboards, charts, and reports to effectively analyze and present data insights. Developed a solid foundation in connecting data sources, performing data transformations, and using Tableau’s key features for visual storytelling.

Problem-Solving, Leadership Skills, Effective Communication, Team Collaboration, Work Ethic and Responsibility.

STROKE RISK DETECTION USING MACHINE LEARNING ALGORITHM

• Machine learning for stroke risk detection utilizes various techniques, including supervised and unsupervised learning algorithms, to analyze patient data and identify individuals at higher risk of stroke. These methods leverage diverse datasets containing demographic information, medical history, lifestyle factors, and biomarkers, often employing algorithms like Random Forest, Support Vector Machines, and Neural Networks.