About

Shaik Mohammad Usman is a highly skilled Machine Learning Engineer with over 4 years of experience in the field of Data Science. He is a dedicated professional who has been involved in executing data-driven solutions that have increased efficiency, accuracy, and utility of internal data processing. Shaik has a proven track record of implementing Machine Learning and Deep Learning models to analyze patterns and deliver insights from data for complex business problems. Shaik's specialties include Data Science, Artificial Intelligence, Data Visualization, Data Analysis, Deep Learning, Predictive Modelling, Quantum Computing, and Machine Learning. He is proficient in Python Programming (Pandas, Numpy, Scipy...), Data Structures and Algorithms, Deep Learning (CNN, RCNN, GAN), Natural Language Processing (Spacy, NLTK, Bag Of Words, TF-IDF, LSTM), Scikit-learn, Keras, Pytorch, My SQL, Docker, and Kubernetes. Currently working as a Machine Learning Engineer at Jio, Shaik has previously worked as a Data Scientist at Atyati Technologies and as a Data Scientist/Data Engineer at Capgemini. During his tenure at these companies, he has worked on various projects that involved processing and extracting information from bank account statements, designing and developing spend analysis systems for banking clients, building cross-sell models using logistic regression, predicting probabilities of customers using classification algorithms, conducting data regression analysis, exploring and revealing patterns in complex data, and boosting data pipelines by creating dimensionality reduction. Shaik's tech stack includes ML, Data Scientist, Keras, Deep Learning, Research Scientist, Python, Kubernetes, Docker, SQL, Scikit, CNN, GAN, Bag of Words, NLP, Pandas, Tensorflow, Flask, Pytorch, language models, Data Engineering, and Computer Vision. With relevant experience of 10.12 years, Shaik is a highly skilled professional who is passionate about using data-driven solutions to solve complex business problems.