A Bit About Me
Ever since I saw weather prediction, I am deeply obsessed with technology. At present, I am pursuing Masters in Machine Learning at Stevens Institute of Technology. Developed understanding of fundamentals and applications of machine learning in various industries.
I am skilled in developing and implementing ML models/algorithms with keen focus on overseeing ML projects from inception till completion. And I am capable of improving and optimizing machine learning
methodologies to realize better model performance and expand scientific and product capabilities in your organization.
August 2022 - October 2020
July 2020 - October 2020
February 2020 - March 2020
January 2020 - March 2020
AI Research Intern - Widhya
Assisted in identifying a machine failure by designing an LSTM model to predict adverse digressions in a critical and noise industrial process.
Alerting the personnel when a machine is going to fail by providing a confidence score to the models prediction using Entropy change.
> 95% change in systems entropy when the machine is approaching a failure.
Machine Learning Intern - Robofied
Helped a machine learning consulting startup by creating technical articles on machine learning and deep learning concepts.
Steered significant efforts in presenting respective work along with relevant code through effective utilization of Sklearn library and TensorFlow framework.
Machine Learning Intern - Cognia Technologies
Leveraged XGBoost Regression algorithm for predicting taxi demand in Hyderabad city.
Achieved 90% explained variance score, which helped the client to monitor the taxi allocation effectively.
Machine Learning Intern - Exposys Data Labs
Reproduced a research paper on detecting DDoS attacks using multi-classifier approach.
Achieved around 85% accuracy in detecting a DDoS attack.