Purnapushkala Hariharan

As a Data Analytics Analyst with a background in Software Engineering, I bring a robust skill set in data analysis, machine learning, and problem-solving. My experience spans working with complex datasets, building predictive models, and driving insights that improve business decision-making.

Recently, I developed an emissions prediction model using machine learning techniques to forecast emissions levels across various operational environments. This project involved collaborating with multiple teams to gather data, analyze key environmental factors, and create a predictive model using Python and scikit-learn. This model contributed to the company’s sustainability goals by providing accurate forecasts that helped optimize operations and reduce emissions.

In my role, I also performed extensive data cleaning, visualization, and statistical analysis to deliver actionable insights for senior management. My ability to extract valuable insights from large datasets, combined with experience in tools like SQL, Excel, and Tableau, allows me to support informed decision-making and drive operational efficiency.

With a co-op degree in Software Engineering and a passion for data, I am excited to bring my expertise in data analytics, machine learning, and software tools to a dynamic team. I thrive in a collaborative environment, and I’m committed to using data-driven strategies to solve real-world business challenges.