data engineering , Digital Transformation, Advanced Analytics, Data Analytics, Machine Learning, Collibra, MLops, Data Governance, AI ML solutions, data platform delivery, Analytics, Apache Atlas, MDM, data lakehouse architecture, cloud-native platforms, agentic AI platforms, agentic AI frameworks, ontology design, enterprise data architecture, Ai, onshore-offshore delivery model, knowledge graph, master data and reference data platforms, LLM-based data products, semantic layer tools, semantic and ontology layers

Advanced Analytics, Machine Learning, Data Governance, End-to-end model lifecycle management, GenAI, Cross-functional collaboration, Statistical methods, Responsible AI

Data Science, Predictive Analytics, Project Management, People Management, Communication, Analytics

data engineering , Distributed Computing, Apis, Neural Networks, AI ML, Sql, Microservices, Tensorflow, Azure ML, Numpy, Nlp, Pandas, MLops, Pytorch, Computer Vision, Keras, Python, Machine Learning Algorithms, Scikit-learn, AWS SageMaker, Statistical Modeling, Google Vertex AI

snowflake , BigQuery, Version Control, Sql, transactional data, Git, Databricks, Python, lending data science, business impact measurement, Credit Analytics, ranking performance, bureau data, credit risk modelling, predictive model evaluation, open banking, device behavioural signals, Statistics, cloud analytics stacks, Calibration

Tensorflow, Machine Learning, Pytorch, Python, Computer Vision, Deep Learning, OCR applications

Kafka, Sql, Deep Learning, Nlp, Computer Vision, Docker, Spark, Kubernetes, Python, Airflow, reinforcement learning, cloud AI services

data engineering , Machine Learning, Hadoop, PostgreSQL, Sql, Tensorflow, Gcp, Pytorch, Spark, Azure, Python, AWS, Computer Vision, Scikit-learn, Ai, reinforcement learning, ETL processes, Data preprocessing techniques

data wrangling , Natural Language Processing, Sql, Python, Delivering Insights reporting, R, Modelling