SWETHA SIRIPURAPU

Data Scientist pursuing a master’s in data science at the University of Arizona. With 3.5 years of experience as a data analyst in banking and utilities, I'm passionate about leveraging data for insights. Seeking a position in a dynamic environment where my academic skills and data-driven insights can drive organizational growth and innovation.

Big Data Analytics - IBM, Microsoft Technology Associate in Machine Learning in 2018, Azure Fundamentals in 2020, Blue Prism Certified Developer (AD01) in 2020, Microsoft Office Specialist in 2017.

Energy Consumption Prediction through Machine Learning

· Analyzed patterns from 40 million data points to observe energy consumption in buildings.

· Applied regression techniques like XG-Boost, Cat-Boost, and Linear Regression, achieving an RMSLE of 1.2.

· Presented findings emphasizing potential 25% energy consumption reduction through eco-friendly strategies.

USA Weather Forecast Accuracy Analysis

· Utilized a dataset from the USA National Weather Service, covering 16 months of forecasts for 167 cities.

· Analyzed error patterns in temperature prediction across the U.S., identifying city clusters with similar errors.

· Employed geospatial data visualization techniques to display the spatial distribution of temperature forecasting errors.

· Investigated seasonal variations in temperature forecast errors across different U.S. regions using heatmaps.

Machine Learning in Cyber Security

· Developed a user-centric machine learning system using the Random Forest algorithm.

· Utilized extensive security logs, alerts, and expert input to highlight risky user behavior.