Naresh Ure
Conyers,GA
Summary
AI/ML Engineer and Data Scientist with 10+ years of experience applying machine learning, data engineering, and cloud-native technologies to solve real-world business problems across banking, healthcare, automotive, and enterprise platforms. Experienced in developing predictive models, NLP systems, forecasting solutions, and workflow automation that improve operational efficiency, reduce risk, and generate measurable business impact. Skilled in building production-grade ML pipelines using Python, SageMaker, Azure ML, Vertex AI, and Kubernetes, combined with strong MLOps, CI/CD, data modeling, and model governance practices. Recognized for translating complex data problems into simple, actionable insights and partnering closely with engineering, product, and business teams to deliver scalable AI solutions.
Overview
12
12
years of professional experience
Work History
Senior AI/ML Engineer | Lead Data Scientist
TOYOTA
09.2020 - Current
- Leading AI initiatives to modernize Toyota's digital banking ecosystem by replacing manual, rule-based operations with predictive, automated, and cloud-optimized machine learning systems.
- Designed and deployed fraud-detection and credit-risk ML models using Python and SageMaker, enabling faster decisions and reducing false alerts by 29%.
- Built NLP pipelines using BERT and spaCy to automatically classify compliance documents and customer messages, cutting manual review time by 40%.
- Created large-scale feature engineering workflows using Python, PySpark, and AWS Glue to process millions of financial transactions reliably.
- Developed time-series forecasting models (Prophet, ARIMA, LSTM) for deposits and customer activity trends, helping leadership plan more accurately.
- Implemented complete MLOps pipelines with version tracking, automated retraining, CI/CD for ML, and model monitoring with MLflow and CloudWatch.
- Containerized ML applications and deployed scalable inference services using Docker, Kubernetes, Jenkins, and Terraform.
- Partnered with cloud and engineering teams to design high-availability, secure ML environments used across multiple banking workflows.
Machine Learning Engineer | Data Scientist
Eli Lilly
09.2017 - 08.2020
- Supported enterprise-wide analytics modernization by building automated ML pipelines, improving data quality, and developing predictive solutions that enhanced clinical and operational decision-making.
- Built predictive models for patient-risk scoring and treatment adherence using Azure ML and Python.
- Developed NLP models using BERT and Transformers to extract insights from medical notes and clinical documentation.
- Designed Azure Data Factory pipelines to improve data transformation, standardization, and quality scoring across millions of records.
- Deployed ML services using Kubernetes (AKS, GKE) with automated versioning and scaling for production workloads.
- Automated model packaging, validation, and deployment using Azure DevOps and GitLab CI/CD.
- Created visual dashboards in Power BI and Python to help healthcare teams monitor trends and drive evidence-based decisions.
Data Scientist | Cloud AI Engineer
Baystate Health
11.2016 - 08.2017
- Developed ML models for EHR automation, patient-flow forecasting, and early-warning detection using Python and AWS.
- Built ETL pipelines and automated ingestion using Lambda, S3, and CloudWatch, reducing manual workload for data teams.
- Developed clinical anomaly-detection algorithms to identify irregular trends in patient records and system activity.
- Designed dashboards using Python and Tableau to help medical teams monitor patient and operational KPIs.
- Implemented AI-driven log analytics using Elasticsearch, Logstash, and Grafana for real-time system monitoring.
Junior Data Scientist | Model Developer
ICICI Bank, India
10.2015 - 08.2016
- Developed credit-scoring, loan-default prediction, and customer-risk models using Logistic Regression, Random Forest, and Gradient Boosting.
- Automated SQL-based data preprocessing pipelines and improved data reliability across analytics teams.
- Created feature engineering and automated scoring scripts used by multiple financial teams.
Data Analyst | ML Engineer
Uber, India
06.2014 - 09.2015
- Analyzed rider and driver activity to build demand-forecasting and route-optimization models.
- Performed log-level data analysis to identify patterns in system performance and user behavior.
- Developed automation scripts for preprocessing and exploratory analysis of large datasets in Linux environments.
Education
Bachelor of Computer Science -
JNTUH
Hyderabad, India12.2014
Skills
- Scikit-learn
- TensorFlow
- Py Torch
- XG Boost
- Light GBM
- Cat Boost
- BERT
- Transformers
- Time-Series Forecasting
- Anomaly Detection
- Recommendation Systems
- Python
- SQL
- PySpark
- Shell Scripting
- AWS
- Azure ML
- GCP Vertex AI
- MLflow
- Airflow
- Docker
- Kubernetes
- Git
- Jenkins
- Spark
- Kafka
- ETL Pipelines
- Feature Store Design
- MySQL
- PostgreSQL
- SQL Server
- MongoDB
- Cassandra
- Tableau
- Power BI
- Hadoop
- Hive
- HDFS
- MapReduce
Personal Information
Title: Senior AI/ML Engineer | Data Scientist
Timeline
Senior AI/ML Engineer | Lead Data Scientist
TOYOTA
09.2020 - Current
Machine Learning Engineer | Data Scientist
Eli Lilly
09.2017 - 08.2020
Data Scientist | Cloud AI Engineer
Baystate Health
11.2016 - 08.2017
Junior Data Scientist | Model Developer
ICICI Bank, India
10.2015 - 08.2016
Data Analyst | ML Engineer
Uber, India
06.2014 - 09.2015
Bachelor of Computer Science -
JNTUH