Aditya Nandgaokar

Speech-to-Text:Creation of the Speech-to-Text app service on the Brainsuite platform of Aimpower GmbH, using AWS and Assembly.AI API services I was able to implement a speech-to-text transcription service in three languages. Emotion Analysis:Trained own models using CNN for speech and music emotion detection and obtained successful testing accuracy of 97.77%, which included the end-to-end process from dataset selections to emotion prediction in an audio file. String matching algorithm using spacy (spaczz).

Experience with AWS cloud solutions (e.g. Lambda, S3) on sensors data which are data mining, transforming, and loading (e.g. ETL, JSON to Excel). Deep Learning: Audio analysis using Alexnet neural network for predictive maintenance functionality of field devices actuators (CSF48 and CA80AM). Deep Learning: Image classification of the field for predictive maintenance functionality (CYA27) using Siamese Neural Network.