Ankita Srivastava

WORK HISTORY

EDUCATION

ABOUT ANKITA SRIVASTAVA

Hello Folks,I am your go-to expert for everything related to Data and Artificial Intelligence, with around 10 years of global experience across Machine Learning, Deep Learning, Data Engineering, Business Analytics, MLOps, and Generative AI. I specialize in delivering end-to-end solutions from raw data ingestion to model deployment, and I am currently building Agentic AI systems that combine Large Language Models (LLMs), LangChain, and Snowflake Cortex Search for real-world enterprise use cases.ExperienceAround 10 years of experience across global domains, delivering impactful solutions in Machine Learning, Data Engineering, MLOps, & Gen AI driven automation.Generative AI, Agents, and Agentic AIBuilding retrieval-augmented generation (RAG) pipelines with Snowflake Cortex and Azure OpenAI.Designing multi-agent systems (Retriever, Validator, Summarizer) orchestrated via LangChain.Delivered agentic AI workflows for supply chain risk analysis, & procurement automation.Requirement Gathering and Product ThinkingCollaborating with Product Managers to define requirements, apply design thinking, & deliver actionable insights at scale.Machine Learning and Deep LearningHands-on in the full lifecycle: data preprocessing, feature engineering, modeling, deployment, & performance optimization.Snowflake and Data EngineeringAdvanced expertise in Snowflake with dbt and Snowpark for data modeling, user-defined functions, & stored procedures. Skilled in building ingestion pipelines using Azure Data Factory, working with common table expressions, materialized views, system migrations, & high-performance query optimization.Machine Learning Models and AnalyticsProficient in clustering, classification, forecasting, deep learning, trend analysis, risk analysis, and predictive modeling.Analytical ExperimentationDesigning and running analytical experiments to solve complex business problems and generate measurable ROI.Deployment and MLOpsExperienced in production-grade MLOps with model deployment, monitoring, and scaling using Azure Machine Learning pipelines.Cloud and Pipeline ManagementPractical experience with Azure, AWS, and GCP, and building robust pipelines via Azure Data Factory and CI/CD workflows.Agile CollaborationDriving cross-functional initiatives using agile methodologies, ensuring both technical excellence and business alignment.I am deeply passionate about Machine Learning, Generative AI, Agentic AI systems, and enterprise-scale automation, turning complexity into clarity and empowering businesses with smarter, faster decisions.