Open to opportunities

Nur Jaf

@nurjaf

Lead Data Scientist delivering scalable AI/ML and Generative AI solutions that automate decisions and drive measurable growth.

United States

Message

What I'm looking for

I want to lead end-to-end AI and ML programs that ship production-ready models and data pipelines—especially forecasting, recommendations, and LLM/RAG systems. I’m excited to collaborate with product and executives, implement MLOps/CI-CD, and mentor teams to deliver measurable impact.

I’m a results-driven Lead Data Scientist with 8+ years of experience delivering scalable Artificial Intelligence, Machine Learning, Generative AI, and Advanced Analytics solutions across healthcare, fintech, retail, and enterprise cloud environments. I focus on building production-ready systems that improve operational efficiency, automate decision-making, optimize forecasting, and drive measurable business growth.

I lead end-to-end AI initiatives—from data engineering and model development to MLOps and cloud deployment—using AWS, Azure, GCP, Databricks, Spark, Kafka, MLflow, and Kubernetes. In my recent role, I designed and deployed forecasting and recommendation systems that improved operational efficiency and increased business performance by over 35%, and I’m passionate about aligning AI strategies with enterprise business goals while mentoring teams and establishing best practices.

Experience

Work history, roles, and key accomplishments

Current

Lead Data Scientist

Current

Integra Connect

Mar 2024 - Present (2 years 3 months)

Led enterprise-scale machine learning and AI initiatives for predictive analytics, automation, and business decision-making. Designed and deployed forecasting and recommendation systems, improving operational efficiency and increasing business performance by over 35% while implementing MLOps, monitoring, and CI/CD automation.

Python Apache Spark Databricks AWS Azure MLOps CI CD Forecasting Recommendation Systems

Senior Data Scientist

Weston Chase

Jan 2022 - Mar 2024 (2 years 2 months)

Developed predictive models, customer analytics solutions, and NLP applications to support enterprise analytics initiatives. Improved forecasting accuracy and customer segmentation through feature engineering and statistical analysis, and delivered executive dashboards using Power BI and Tableau.

Python Apache Spark Airflow SQL Feature Engineering Statistical Analysis NLP Power BI Tableau

Data Scientist

NorthBridge Systems

Sep 2019 - Dec 2021 (2 years 3 months)

Built machine learning and analytics solutions for customer behavior analysis, fraud detection, and operational reporting. Developed ETL pipelines with Python, SQL, and Apache Spark, performed A/B testing and exploratory data analysis, and supported model deployment, monitoring, and automation in cloud-based analytics environments.

Python SQL Apache Spark ETL A B Testing Fraud Detection Model Monitoring Predictive Analytics

Machine Learning Engineer

Accenture

Nov 2017 - Sep 2019 (1 year 10 months)

Developed and deployed machine learning models for customer behavior prediction, sales forecasting, and anomaly detection. Built automated ETL and feature engineering workflows, improved model performance using hyperparameter tuning and cross-validation, and collaborated to integrate ML solutions into enterprise applications and automated reporting systems.