Rahul Jaiswal — Data Scientist

I build and scale machine learning models that deliver reliable performance in production. Over 9 years I have deployed models in finance, healthcare, and insurance, and keep an eye on full pipeline: data, training, deployment, and monitoring. Day to day I use Python and SQL, Spark on Snowflake, and I automate with Airflow and MLflow. I package services with Docker and Kubernetes and serve with KServe or cloud endpoints. On AWS I work with S3, EKS, SageMaker, API Gateway, Lambda, and Amazon Bedrock for LLM and RAG use cases. Recent work :Partnered with data and product teams on market‑spend forecasting and vendor feed optimization; built data pipelines (Oracle → Snowflake) and baselined models with MLflow‑tracked experiments.Designed regression tests and observability for analytics/ML features (feature checks, drift alerts with Evidently, and CI gates in Jenkins).Worked on ranking models, AML triage, and credit risk components. I focus on data quality, feature consistency, and measurable outcomes. I add monitoring for latency, drift, and slice performance using Prometheus, Grafana, and Evidently. I write model cards and design with GDPR and model risk in mind. I enjoy mentoring and partnering with product and platform teams. I like simple designs, clear SLAs, and clean handoffs to operations. Core tools: Python, SQL, scikit-learn, XGBoost, PyTorch, TensorFlow, Transformers, Spark, Databricks, Snowflake, Airflow, MLflow, Docker, Kubernetes, KServe, Prometheus, Grafana, Evidently, AWS SageMaker, Amazon Bedrock.

Stackforce AI infers this person is a Data Scientist specializing in Fintech and Machine Learning.

Location: Dublin, County Dublin, Ireland

Experience: 8 yrs 11 mos