Digital : Python For Data Science

Job description

• Designed, developed, and deployed Machine Learning and Deep Learning models for industrial challenges involving large-scale numerical, categorical, and time series data, as well as images and videos. • Extensive experience in Python programming for statistical analysis, custom algorithm development, and business insight generation using ML/DL models. • Proficient in optimization techniques including Genetic Algorithms, Linear and Quadratic Programming, and others • Skilled in comprehensive data workflows: collection, exploratory analytics, data cleansing, feature selection, and model validation. • Experience in deploying AI/ML solutions using MLOPs on cloud platforms such as Azure and AWS. • Solid knowledge of NLP, Large Language Models, Retrieval-Augmented Generation, and ML algorithms such as Decision Trees, Clustering, Support Vector Machines, Artificial Neural Networks, LSTM, CNN, and YOLO, with awareness of their practical advantages and limitations. • Motivated by continuous learning and mastery of emerging technologies and methodologies in the fields of artificial intelligence and machine learning.