I am a seasoned Data Scientist with 20+ years of experience, distinguished by an IBM Data Science and Machine Learning certificate. I excel in statistical methodologies, machine learning, cloud computing, and Generative AI technologies, including Large Language Models (LLMs). I specialize in developing solutions for complex problems using these advanced tools and approaches. I am passionate about turning data into actionable insights across structured and unstructured datasets, deploying robust models in production, and leveraging LLMs to enhance NLP capabilities. I have led AI-driven initiatives across enterprise contexts, designed Retrieval-Augmented Generation pipelines, and built scalable cloud deployments (Azure, Google Cloud, Databricks).

Shaig Nabiyev

I am a seasoned Data Scientist with 20+ years of experience, distinguished by an IBM Data Science and Machine Learning certificate. I excel in statistical methodologies, machine learning, cloud computing, and Generative AI technologies, including Large Language Models (LLMs). I specialize in developing solutions for complex problems using these advanced tools and approaches. I am passionate about turning data into actionable insights across structured and unstructured datasets, deploying robust models in production, and leveraging LLMs to enhance NLP capabilities. I have led AI-driven initiatives across enterprise contexts, designed Retrieval-Augmented Generation pipelines, and built scalable cloud deployments (Azure, Google Cloud, Databricks).

Available to hire

I am a seasoned Data Scientist with 20+ years of experience, distinguished by an IBM Data Science and Machine Learning certificate. I excel in statistical methodologies, machine learning, cloud computing, and Generative AI technologies, including Large Language Models (LLMs). I specialize in developing solutions for complex problems using these advanced tools and approaches.

I am passionate about turning data into actionable insights across structured and unstructured datasets, deploying robust models in production, and leveraging LLMs to enhance NLP capabilities. I have led AI-driven initiatives across enterprise contexts, designed Retrieval-Augmented Generation pipelines, and built scalable cloud deployments (Azure, Google Cloud, Databricks).

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Work Experience

Lead Data Scientist /AI Engineer at CONSTELLATION ENERGY
November 1, 2024 - Present
AI-Driven Sales Automation Engine and Intelligent Revenue Optimization; Enterprise AI Sales Engine processing 200k+ customer-product combinations; opportunity scoring with 86+ business criteria, increasing lead qualification from 60% to 91%. Advanced ML pipeline with Retrieval-Augmented Generation (RAG) and real-time market intelligence; A/B testing framework with 35% increase in sales pipeline value and 50% reduction in lead response time. Automated customer classification for personalized recommendations; configuration-driven AI architecture enabling dynamic scoring logic and parameters; executive analytics dashboards improving revenue conversion by 25% and forecasting accuracy by 45%, saving 200+ hours monthly.
Senior Data Scientist / AI Engineer at LA FITNESS, LLC
December 1, 2023 - February 1, 2025
Adopted GenAI and NLP models (GPT-3.5-turbo, GPT-4, BART/Large, DeBERTa) to drive advanced text analysis, dynamic text generation, and automated customer interactions. Built robust AI solutions using SpaCy and GenAI for preprocessing, entity recognition, and real-time decision making. Explored zero-shot learning within GenAI frameworks for flexible, model-driven decisions. Scaled AI deployments on Azure and designed NLP data pipelines on GCP Vertex AI and Open Text AI with Vertex endpoints and API Gateway. Implemented RAG and integrated CardiffNLP sentiment models for email classification; OCR pipeline for document automation (Tesseract, EasyOCR, GPT-4.1 Vision) deployed via FastAPI UI and Azure API Management.
Senior Data Scientist at Gulf Relay LLC
June 1, 2022 - December 1, 2023
Designed and developed predictive models for price, order volume, supplier performance, demand forecasting, transportation mode selection, and customer segmentation. Built scalable ETL pipelines in Databricks using PySpark to process terabytes of structured and unstructured data; applied regression and classification, PCA, clustering (K-Means, K-NN); produced Power BI dashboards and data visualizations; implemented anomaly detection and data quality checks.
Senior Data Scientist at Various Clients (United Airlines; U-Haul; AZ State Farm Insurance; Healthcare Provider, AZ)
March 1, 2017 - June 1, 2022
Developed customized ML models for clients using neural networks and supervised/unsupervised methods to optimize prediction accuracy. Applied advanced NLP for sentiment analysis and text mining in financial services; implemented explainable AI and bias mitigation. Built AI-powered chatbots and virtual assistants; deployed OCR pipelines for digitizing patient documents to accelerate EHR integration; led cross-functional AI initiatives.
Data Science Researcher / Associate Research Professor at Arizona State University
August 1, 2019 - June 1, 2022
Developed MOID numerical integration models for virtual encounters between Hyperbolic comets and a predicted Planet 9; Random Forest classifier achieving 94% accuracy. Created state-of-the-art predictive models (supervised/unsupervised) with boosting/bagging. Taught 'Introduction to Statistics' to 200+ students (course rating 4.5). Time-series analysis of 9 planets' orbit elements; explored clustering to categorize orbital formation patterns.
Data Science Researcher at Various Institutions (University of Hawaii; Shamakhy Astrophysical Observatory; Qafqaz University)
June 1, 2006 - August 1, 2019
Applied statistical techniques to astronomical data, performed data cleaning and SQL-based data consolidation, and produced impactful Tableau dashboards. Published multiple papers based on 150GB+ big-data analyses; taught introductory statistics with real-world case studies.

Education

Post Doctorate in Science at Institute for Astronomy / University of Hawaii
January 1, 2017 - January 7, 2026
Ph.D. in Science at National Academy of Sciences, Azerbaijan
January 11, 2030 - January 1, 2006
BSc & MSc in Physics at Baku State University, Azerbaijan
January 11, 2030 - January 1, 1997

Qualifications

IBM Data Science and Machine Learning certificate
January 11, 2030 - January 7, 2026

Industry Experience

Energy & Utilities, Healthcare, Software & Internet, Professional Services, Education