Mohan Srikesh Puligalla

· Dynamic intern at Tequed Labs, proficient in Python and data analysis, successfully executed a machine learning project that improved consumer segmentation tactics.

· Exhibited robust problem-solving and communication abilities, enhancing foot traffic and profitability for retail clients.

· Demonstrated capacity to adjust and excel in cooperative settings.

Garbage Segregation System using Image Processing and IOT, In this system, predicting the category of classes to which the waste bottles belong to, use Deep Learning algorithm. Convolutional Neural Networks (CNN) is used to classify the incoming plastic bottle image into some of the classes such as water, juice, syrup bottles., There are PP, HDPE, and PET. Feature extraction method is used to detect the features of the object in the image and to calculate it’s feature vector. This feature are used for train and test the neural network model., Online python IDE., In this project, we have one online IDE namely, Online python IDE. The python programs can be interpreted using interpreter, which is portable and reduces the storage space, which provides most convenient tool to interpret code and remove the errors., This interpreter provides online interpretation service, so no need to install separate interpreter on each PC. By using all these applications, we can conduct online practical examination.

Worked as Divisional President for NGO (Street Cause) student club. Worked as the student representative of the computer science branch in bachelors.

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