Anusha V.

Ai Ml Engineer @Insight Enterprises Inc

TX, US

Built and deployed sales-forecasting pipelines in Python/scikit-learn/XGBoost with Airflow + SQLAlchemy orchestration on BigQuery and AWS EC2/S3, improving MAPE by 23% and enabling T+1 planning.• Implemented drift & data-quality monitoring using Evidently AI with metrics exported to Grafana/CloudWatch, wiring Jenkins/GitHub Actions for alert-driven rollbacks and automated retraining.• Exposed models via Flask/FastAPI microservices behind AWS ALB, adding request validation, pydantic schemas, and SageMaker batch transforms for backfills and A/B test cohorts.• Partnered with Marketing to productionize Prophet/ARIMA scenario forecasts; codified KPI definitions in dbt-style SQL layers to standardize reporting across Tableau/Power BI.• Cut report latency 35% by designing columnar marts and materialized views in BigQuery; tuned queries (partitioning, clustering) to reduce spend while preserving SLA.• Hardened pipelines with IAM policies, secrets rotation, and artifact versioning (MLflow Models + Model Registry) to improve auditability and rollback speed.

Guru Nanak Institutions Technical Campus

Bachelor's degree, Computer Science

Texas Tech University

Master's degree, Computer Science