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Sai Rakesh Reddy Anumula
Data Scientist @Hippo Insurance
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WORK HISTORY
Data Scientist @Hippo Insurance
Developed predictive models using Python and scikit-learn to assess property risk from smart home sensor data, improving underwriting accuracy.1. Built machine learning algorithms with TensorFlow on AWS SageMaker to forecast potential claims, supporting proactive homeowner interventions.1. Created customer segmentation models using K-means clustering in Python to personalize insurance offerings and enhance marketing strategies.1. Implemented statistical models using R and SQL to optimize insurance premium pricing, reflecting current market trends and risk factors.1. Designed and maintained data pipelines with Apache Airflow and AWS Glue for ingesting smart home device data into Snowflake.1. Conducted A/B tests to evaluate the impact of new insurance product features, utilizing Python for statistical significance analysis.1. Developed interactive dashboards in Tableau and Power BI, visualizing key business metrics and model performance for stakeholders.1. Built fraud detection systems using anomaly detection techniques in Python to identify suspicious claims within property insurance.1. Created NLP models using spaCy to analyze customer feedback and policy documents, extracting valuable insights for product improvements.1. Utilized AWS services like S3 and EC2 for scalable data storage and processing, supporting large-scale machine learning experiments effectively.
EDUCATION
Geethanjali College of Engineering and Technology
Bachelor's degree, Electronics and Communications Engineering
University of North Texas
Master's Degree
ABOUT SAI RAKESH REDDY ANUMULA
Data Scientist | Data Analyst | Master\'s in Data Science | University of North Texas | Data-Driven Decision Maker | Experienced in Data Analysis, Python, SQL, Power BI, Tableau & Predictive Modeling
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