10+ years of experience in AI/ ML Model development and deployment, Deep Dive Analysis.
Expertise in implementing data driven solutions end to end using Statistical Techniques, Machine Learning, Deep Learning and MLOps frameworks.
Data Science Competencies; Supervised and Unsupervised Machine Learning and Deep Learning Algorithms.
MLOps – Model Validation, Explainability, Monitoring & Management (AI Glass Box).
Latent Sematic analysis, Document Similarity Models, Document Classification, Text Analytics and Language Models.
Recommender Systems - Content based and Collaborative Filtering.
Computer Vision and Image Analytics – Neural Nets, Convolution Neural Nets and Recurrent Neural Nets.
Statistical Modeling and Predictive Analytics.
Tools & Technologies:
Python, Keras/TensorFlow, NLTK, SQL, PySpark, Hive.
ADO skills will be good.
Banking experience will be plus.
