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Sri Krishna Sai Kankipati

MS in Machine Learning

Phone:

201-957-2254

Email:

Address:

1203 Washington Street
Hoboken, NJ 07030

Date of Birth:

April 7th, 1999

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.

Projects

Work Experience

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.

Let's Get

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