Sunitha Paraselli

Sunitha Paraselli serves as an Analytics Engineer at Integral Analytics, LLC, where she expertly merges her mechanical engineering background with advanced analytical techniques to optimize power generation assets. With a robust foundation in design and process automation from her tenure at Carrier Corporation, Sunitha leverages her skills in Python and statistical analysis to derive actionable insights from complex datasets. Her role involves not only analyzing the performance of power plant machinery but also implementing predictive maintenance strategies that enhance operational efficiency and reduce downtime.

Sunitha's expertise extends beyond traditional analytics; she employs machine learning algorithms to identify patterns and anomalies in power generation data, facilitating data-driven decision-making processes. Her proficiency in tools such as Pyxll for Excel integration and various data visualization techniques allows her to present findings in a compelling manner, making complex data accessible to stakeholders. Additionally, her experience as a Metrology/Measurement Intern at Corning Incorporated has equipped her with a keen understanding of precision engineering and measurement validation, further enriching her analytical capabilities.

Currently pursuing her Master’s degree, Sunitha is committed to continuous learning and innovation in the field of analytics. Her diverse skill set, which includes proficiency in Autodesk Inventor, SolidWorks, and CNC machining, positions her uniquely at the intersection of engineering and data analytics. As she continues to drive impactful projects at Integral Analytics, LLC, Sunitha is dedicated to advancing the integration of analytics in the power generation sector, ultimately contributing to more sustainable and efficient energy solutions.