Summary
Overview
Work History
Education
Skills
Timeline
Generic

Elvin Gurbanov

Chicago,KS

Summary

Skilled in developing and deploying machine learning models with expertise in Python, TensorFlow, and scikit-learn, offering strong proficiency in data analysis, algorithm optimization, and predictive modeling. Strong work ethic and methodical approach ensure high-quality deliverables and minimal errors, contributing to efficient and accurate project outcomes.

Overview

9
9
years of professional experience

Work History

Senior Data Scientist

Navy Federal Credit Union
Remote
11.2023 - Current
  • Designed and deployed advanced machine learning models to support strategic initiatives in fraud detection, customer insights, and credit risk optimization across Bank customers and products.
  • Developed custom data pipelines for efficient data processing, leading to improved model performance.
  • Collaborated with cross-functional teams including product, engineering, and risk to embed predictive analytics into real-time systems and customer-facing platforms.
  • Leveraged tools such as Python, SQL, Spark, and cloud platforms (AWS/GCP) to process and analyze high-volume datasets, ensuring efficiency and scalability.
  • Developed interactive, executive-level dashboards and reports using Tableau and Power BI, enabling stakeholders to track key metrics, model performance, and business outcomes.

Data Scientist

Opsteameyes Tech-Remote
Mountain View, California
04.2021 - 09.2023
  • Spearheaded the end-to-end lifecycle of predictive modeling projects, from data ingestion and transformation to model deployment, contributing to an 40% reduction in operational expenses.
  • Applied advanced analytics and statistical techniques using Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) and SQL to uncover actionable insights from large, complex datasets.
  • Architected robust machine learning pipelines encompassing data wrangling, feature selection, algorithm tuning, and production integration for scalable real-time inference.
  • Designed and executed A/B experiments and implemented automated model monitoring systems to detect drift and trigger retraining workflows, resulting in a 90% boost in model effectiveness.
  • Engineered scalable ML pipelines in cloud environments (AWS, Azure), leveraging services like S3, EC2, SageMaker, and Azure ML for efficient data handling, training, and production deployment.
  • Collaborated with cross-functional teams to identify data-driven solutions for operational challenges.

Data Scientist

Capitalbank
03.2017 - 01.2021
  • Applied a broad range of machine learning techniques—including classification, regression, clustering, and time series modeling—to streamline banking workflows, enhance revenue generation, and minimize operational costs.
  • Extracted and engineered high-quality datasets from enterprise Data Warehouses using advanced SQL, resolving data inconsistencies and strengthening model reliability through improved data governance.
  • Performed in-depth exploratory data analysis (EDA) using Python (Pandas, NumPy, Seaborn, Matplotlib) and Dataiku to surface patterns, anomalies, and business opportunities hidden within complex financial datasets.
  • Delivered interactive Tableau dashboards that translated analytical findings into actionable insights, directly influencing credit strategies and operational decisions across business units.
  • Automated and optimized ETL workflows for scalable and efficient data extraction, transformation, and loading from internal DWH systems, accelerating the model development cycle.

Education

Master of Business Administration (M.B.A.) - Financial Economics

Hacettepe University
Ankara, Turkey
06.2017

Bachelor of Science (B.S.) - Statistics

Ankara University
Ankara, Turkey
01.2013

Skills

  • Agile methodologies
  • Data warehousing
  • Python
  • Deep learning
  • NLP
  • Data visualization
  • Database structures
  • Dataiku
  • Pandas
  • Power BI
  • AWS
  • Statistical analysis
  • Machine learning algorithms
  • SQL
  • Supervised and Unsupervised learning
  • ETL
  • Tableau
  • Data preprocessing and cleaning
  • R
  • NumPy
  • Azure Databriks
  • Machine learning

Timeline

Senior Data Scientist

Navy Federal Credit Union
11.2023 - Current

Data Scientist

Opsteameyes Tech-Remote
04.2021 - 09.2023

Data Scientist

Capitalbank
03.2017 - 01.2021

Bachelor of Science (B.S.) - Statistics

Ankara University

Master of Business Administration (M.B.A.) - Financial Economics

Hacettepe University
Elvin Gurbanov