enterprise data modeling , snowflake , Data Architecture, Data Warehousing, Data Governance, Azure, AWS, ELT, Etl, Cloud Data Platforms

prophet , Machine Learning, Tensorflow, Pytorch, XGBoost, Python, Sql, Deep Learning, Git, Kubernetes, scikit-learn, Temporal Convolutional Networks, Random Forests, GRU, Integrated Gradients, Gradient Boosting, data visualization tools, Time Series Models, LSTM, SHAP, LightGBM, Statistical models, counterfactuals, statsmodels, permutation importance, transformer-based models

embedded analytics , change data capture , Apis, Data Modeling, Permissions, query engines, lakehouse-style storage, safe action execution, in-process analytics, serving layers, extensibility, modern data architectures, DuckDB, natural-language querying, source systems, event streams, Text-to-SQL evaluation, data ingestion, SDKs, observability, downstream activation, AI products, developer platforms, data platforms, querying, analytics products, AI-native data experiences, data quality governance, infrastructure products

User story mapping and requirements gathering, Market research and competitive analysis using industry-standard methods, Customer journey mapping and UX design principles, Business process modeling at program and enterprise levels, Agile and Scrum methodologies for product development, API design and integration strategies, Data analytics platforms for product insights, Metrics-driven product performance monitoring and optimization, Enterprise software development lifecycle and architecture, Developing and executing product roadmaps and strategic vision, SaaS product management in large-scale environments, Lean Product Management frameworks, Designing product blueprints and translating business requirements into technical specifications, Change management practices in enterprise settings, Managing product backlogs using tools such as Jira or Azure DevOps

graph databases , BigQuery, Schema Design, Data Modeling, Sql, Data Quality, Dataproc, data pipelines, JSON-LD, API-first development, entity resolution frameworks, data engineering concepts, Knowledge Graphs, ontologies, Observability, Monitoring

supply chain planning , Ml, Power Bi, Power Platform, Tableau, Sql, Gcp, Azure, Data Analytics, Python, AWS, Procurement, Ai, Optimization, Process Mining Tools, Cloud Platforms, Logistics, Simulation, Manufacturing Operations

database performance tuning , containerization , Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), Data Modeling, Azure Databricks, Git, Azure DevOps, Azure Integration Services, Enterprise-scale data integration, Azure SQL Database, Deployment automation, Schema versioning, CI/CD pipelines, Platform engineering, Cloud-native deployment architectures, Delta Lake, Microsoft Fabric, T-SQL programming, Relational Database Design

Ml, Data Science, Data Quality, Apis, Product Management, Data Pipelines, Engineering, Ai, Mobile SaaS, Messaging Infrastructure

Power Bi, Data Lake, Sql, ELT, Git, Rest Apis, Python, Logging, Etl, Cloud data platforms, Lakehouse architectures, Data quality monitoring, Production Support