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I am a Senior/Lead Data Scientist with IIT, IBM, Amazon and Microsoft certifications, and I lead a small team of four. I have 14 years of total experience with 9 years in relevant data science roles, delivering end-to-end AI/ML solutions across multiple industries. I have worked across Aerospace/Aviation, Automotive, Commodities, Energy, Oil & Gas, and Financial Services, driving scalable AI innovation and analytics across GCC markets. I am currently pursuing UAE MOFA attestation to strengthen regional credentials. In my current role at S&P Global, I collaborate with UAE-based energy clients to enable real-time carbon emissions tracking and sustainability analytics, while automating model workflows with Airflow and deploying solutions at scale on AWS SageMaker. I enjoy building practical ML systems, leading MLOps, and creating governance-friendly, production-readyAI solutions that deliver measurable business value.…I am a Senior/Lead Data Scientist with IIT, IBM, Amazon and Microsoft certifications, and I lead a small team of four. I have 14 years of total experience with 9 years in relevant data science roles, delivering end-to-end AI/ML solutions across multiple industries. I have worked across Aerospace/Aviation, Automotive, Commodities, Energy, Oil & Gas, and Financial Services, driving scalable AI innovation and analytics across GCC markets. I am currently pursuing UAE MOFA attestation to strengthen regional credentials. In my current role at S&P Global, I collaborate with UAE-based energy clients to enable real-time carbon emissions tracking and sustainability analytics, while automating model workflows with Airflow and deploying solutions at scale on AWS SageMaker. I enjoy building practical ML systems, leading MLOps, and creating governance-friendly, production-readyAI solutions that deliver measurable business value.

Suneel Thondamanati

Data Scientist, AI Engineer, Data Analyst, +2

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I am a Senior/Lead Data Scientist with IIT, IBM, Amazon and Microsoft certifications, and I lead a small team of four. I have 14 years of total experience with 9 years in relevant data science roles, delivering end-to-end AI/ML solutions across multiple industries. I have worked across Aerospace/Aviation, Automotive, Commodities, Energy, Oil & Gas, and Financial Services, driving scalable AI innovation and analytics across GCC markets. I am currently pursuing UAE MOFA attestation to strengthen regional credentials. In my current role at S&P Global, I collaborate with UAE-based energy clients to enable real-time carbon emissions tracking and sustainability analytics, while automating model workflows with Airflow and deploying solutions at scale on AWS SageMaker. I enjoy building practical ML systems, leading MLOps, and creating governance-friendly, production-readyAI solutions that deliver measurable business value.…I am a Senior/Lead Data Scientist with IIT, IBM, Amazon and Microsoft certifications, and I lead a small team of four. I have 14 years of total experience with 9 years in relevant data science roles, delivering end-to-end AI/ML solutions across multiple industries. I have worked across Aerospace/Aviation, Automotive, Commodities, Energy, Oil & Gas, and Financial Services, driving scalable AI innovation and analytics across GCC markets. I am currently pursuing UAE MOFA attestation to strengthen regional credentials. In my current role at S&P Global, I collaborate with UAE-based energy clients to enable real-time carbon emissions tracking and sustainability analytics, while automating model workflows with Airflow and deploying solutions at scale on AWS SageMaker. I enjoy building practical ML systems, leading MLOps, and creating governance-friendly, production-readyAI solutions that deliver measurable business value.

Available to hire

I am a Senior/Lead Data Scientist with IIT, IBM, Amazon and Microsoft certifications, and I lead a small team of four. I have 14 years of total experience with 9 years in relevant data science roles, delivering end-to-end AI/ML solutions across multiple industries. I have worked across Aerospace/Aviation, Automotive, Commodities, Energy, Oil & Gas, and Financial Services, driving scalable AI innovation and analytics across GCC markets. I am currently pursuing UAE MOFA attestation to strengthen regional credentials.

In my current role at S&P Global, I collaborate with UAE-based energy clients to enable real-time carbon emissions tracking and sustainability analytics, while automating model workflows with Airflow and deploying solutions at scale on AWS SageMaker. I enjoy building practical ML systems, leading MLOps, and creating governance-friendly, production-readyAI solutions that deliver measurable business value.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior Data Scientist (Team Lead) at S&P Global

September 1, 2022 - Present

Led AI/ML initiatives for UAE-based energy clients (Dubai), focusing on real-time carbon emissions tracking and sustainability analytics across oil & gas operations. Architected end-to-end solutions from scratch, using Airflow DAGs to automate model execution and deliver production-ready results, reducing analysts' time by 80% (120+ hours/month) and increasing efficiency by 50%. Deployed 7 AI/ML projects (4 in production). Developed computer vision models for agriculture crop detection (sugarcane, soybean, corn) with transfer learning, improving crop detection efficiency by 27% and reducing processing time from 40 minutes to 7 minutes. Automated data pipelines for oil & gas, cutting manual effort by 12x. Led MLOps with CI/CD pipelines (GitHub Actions), containerization via FastAPI, and scalable deployment on AWS SageMaker. Built enterprise Q&A and summarization systems using RAG pipelines with LangChain, vector databases (Kensho), and Sentence Transformers embeddings. Implemented CoT a

Data Scientist (Engineer II) at The Boeing Company

July 1, 2018 - September 1, 2022

Worked on Airplane Health Management protocols to enhance commercial aviation services. Analyzed valve failure events in 777X/787 control systems using statistical methods and ML models to predict system failures. Validated results with QAR data and flight tests (12 flights). Developed preventive action measures and a probabilistic anomaly-detection model that outperformed physical models by ~20% efficiency, with potential cost savings of ~$1M and $20M business value foreseen from improved maintenance actions.

Designer at Allegis Group (EASI)

November 1, 2014 - July 1, 2018

Created robust classification models and dashboards to detect patterns in global trends of car part failures. Conducted in-depth analyses considering environmental factors and seasonality, delivering SME insights that enhanced trend detection by over 40%. Implemented predictive regression to forecast spare parts sales for global service centers and performed correlation analyses to boost sales by 18%.

Designer at e-MUG Technologies

June 1, 2013 - October 1, 2014

Engaged in model optimization of engineering structure designs to minimize weight and improve strength-to-weight ratio for aircraft components for Falcon Aviation, Oman Air, Gulf Air, Saudia Airlines, and Airbus.

Project Assistant at Indian Institute of Science (IISc)

April 1, 2011 - September 1, 2012

Generated aerodynamic flight data from programmed instruments and conducted thorough data analysis to derive outputs for forces and moments of an aircraft. Presented data results to clients (HAL, NAL, ISRO, DRDO) via compelling plots and graphs.