I have 8 years of business industry experience as data scientist and solution architect to develop data driven products at national level. 5 years of extensive experience related to data engineering, ETL, Computer Vision & deep learning modelling. I have hands on experience on python libraries used for data munging like Pandas, Librosa, Essentia, numpy etc. Working experience and extensive knowledge about python based machine learning libraries like Pytorch, Sklearn, Scipy, Keras, Tensorflow, Tesseract, Transformers (Language Models) and EO-Learn.I have experienced to integrate the heterogeneous data (Text, Audio, Images, Videos) and populate it to the data lake for Generalized AI rather Narrow AI using Gato. I am very proactive in developing text analytics solutions using NLP Techniques like Bag of Words (BoW), WordtoVec using Python NLP Libraries like Spacy, NLTK and explosion.ai tools. I am very robust in developing the automatic data pipeline from data acquisition to finished data product using Kafka, Docker and Kubernetes orchestration. Being the solution architect I have developed many system design using load balancing techniques to support million of users.
Listed skills include Crisp Dm, Pandas, Scikit Learn, R, and 41 others.
