Prescinto, Inc.
Parul Goel is a experienced Data Scientist with a focus on machine learning and deep learning models for anomaly detection, currently working at Prescinto since 2022. Prior to this role, Parul contributed as a Data Scientist at ECOLIBRIUM ENERGY PRIVATE LIMITED from August 2021 to February 2022. Previous experience includes a position as a Scada Engineer at RAPID METRORAIL GURGAON LIMITED from April 2019 to October 2020 and as a System Engineer at Siemens Technology India from December 2016 to September 2018. Parul holds a Bachelor of Technology in Electronics and Communication Engineering from MDU Rohtak (2012-2016) and a Master of Technology from the National Institute of Technology Kurukshetra. Additionally, Parul completed secondary education at Tagore Academy Public School in Faridabad.
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Prescinto, Inc.
Prescinto uses Artificial Intelligence to identify causes of underperformance and suggest actions to improve generation in Clean Energy plants by 5 - 7%. Prescinto has been deployed across 14,000+ MWs of Solar & Wind Projects across 14 countries with marquee clients like SoftBank Energy, Macquarie and Radiance Renewables managing their Solar & Wind Assets on Prescinto. Solar & Wind Energy - while the cheapest source of Power in many countries - is not available 24 x 7. Energy Storage will change that. Prescinto is working with BESS players to enable the flattening of Clean Energy curve to accelerated our transition to renewables.