Abhay Biradar

I was a campus ambassador for Geeks for Geeks, a leading online platform for programming and computer science enthusiasts. I represent and promote the brand at MIT World Peace University, where I am pursuing my B.Tech in Electrical and Computer Engineering. I facilitate workshops, webinars, and engage with the student community to foster a culture of learning and innovation. I am passionate about applying my engineering and programming skills to solve real-world problems and create a positive impact. I have a intermediate background in CSS and project management. I am always eager to learn new technologies and tools, and to collaborate with other professionals and experts in the field.

• CSS Fundamentals: Unlock the Power of Web Styling
• HTML Essential Training
• Introduction to Generative AI
• Certificate of Appreciation
• E-Summit'23 Participation

Utilized machine learning and Rubiscape platform to detect diesel engine faults, enhancing operational efficiency and reducing maintenance costs. Implemented support vector machines and k-nearest neighbor algorithms, achieving a minimum of 60% improvement in performance efficiency. Extensive research showcased the potential to accurately predict faults and extend the lifespan of diesel engines.

Researched electricity demand forecasting methods using Recurrent Neural Network (RNN) and Long Short Term Memory (LSTM) network models. Evaluated on London smart meter data for single-house and block dwellings, spanning short-, mid-, and long-term projections. Achieved accurate forecasting with average Root Mean Square error analysis for both RNN and LSTM networks.