Professional Summary

Professional Overview

Spurthi Bollina is a seasoned Data Scientist with a strong track record of driving data-driven insights and solutions for leading organizations. Currently, she serves as a Data Scientist at Amazon Web Services (AWS), where she leverages her expertise in machine learning, data analysis, and problem-solving to deliver impactful projects that enhance business operations and drive strategic decision-making.

Experience Summary

Current Role

As a Data Scientist at AWS, Spurthi is responsible for developing and implementing advanced statistical models and machine learning algorithms to extract valuable insights from complex data sets. She collaborates cross-functionally with stakeholders to identify business needs, design data-driven solutions, and deliver actionable recommendations that drive organizational growth and efficiency.

Career Progression

Prior to her current role, Spurthi served as a Data Scientist at Darwill, where she played a pivotal role in optimizing marketing campaigns and improving customer targeting strategies through data-driven insights. She also gained valuable experience as a Data Science Intern at United Airlines, where she contributed to the development of predictive models for flight demand forecasting and customer churn analysis.

Earlier in her career, Spurthi worked as a Business Technology Analyst at Deloitte, where she leveraged her programming and analytical skills to support clients in digital transformation initiatives. She also held an internship position as an Application Developer at Mission RnD, where she developed and maintained enterprise-level software applications.

Academic Background

Spurthi holds a Master's degree in Data Science from the University of Chicago, where she specialized in machine learning, statistical modeling, and data visualization. She also earned a Bachelor's degree in Computer Science from the University of Illinois at Urbana-Champaign, graduating with honors.

Areas of Expertise

• Machine Learning: Proficient in developing and deploying advanced algorithms for predictive modeling, classification, and forecasting.

• Data Analysis: Skilled in data exploration, cleaning, and transformation to extract meaningful insights from complex data sets.

• Problem-Solving: Adept at identifying and addressing business challenges through data-driven solutions and creative problem-solving.

• Communication: Effective at translating technical findings into actionable recommendations and presenting insights to cross-functional teams.

• Project Management: Experienced in managing data science projects from ideation to implementation, ensuring timely delivery and successful outcomes.

Professional Impact

At Darwill, Spurthi developed a churn prediction model that helped the company reduce customer attrition by 15% and optimize marketing campaigns, resulting in a 20% increase in customer lifetime value. At United Airlines, her predictive models for flight demand forecasting improved operational efficiency and contributed to cost savings of $1.2 million.

Conclusion

With her extensive experience, technical expertise, and proven track record of delivering impactful data-driven solutions, Spurthi Bollina is a valuable asset to the organizations she serves. As a Data Scientist at AWS, she continues to push the boundaries of what's possible with data, driving innovation and transforming business operations through her data science capabilities.