Debisree Ray
Data Scientist | Building ML & GenAI Solutions | Cloud, MLOps & LLMOps | Computational Nuclear Structure Physicist | Stanford Ignite
- Role
- Data Scientist at Big River Steel
- Location
- Memphis, TN, US
- LinkedIn followers
- 500 followers
About Debisree Ray
I am a Data Scientist at Big River Steel / U. S. Steel, where I work as part of the BI team, leveraging advanced analytics, machine learning, and cloud technologies to deliver end-to-end solutions for complex problems in steel manufacturing and business operations. My expertise spans the full data science lifecycle: from data preprocessing and exploratory analysis to model development, deployment, and production monitoring. I have hands-on experience building scalable ML/DL solutions on cloud platforms such as Azure and Databricks, integrating MLOps best practices, CI/CD pipelines (Azure DevOps), and deploying Flask-based web applications on Azure App Services.Key Technical Skills:1. Data Engineering & Analysis: Data preprocessing, cleansing, and exploratory analysis using Python (Pandas, NumPy), and visualization tools (Matplotlib, Seaborn, Plotly, Dash).2. Machine Learning & Deep Learning: Model development using Scikit-learn, TensorFlow, Keras; predictive analytics in Jupyter, Anaconda, and VS Code environments.3. Generative AI & AI Agents: Development of AI agents leveraging pre-trained foundation models (e.g, LLMs), advanced prompting, retrieval-augmented generation (RAG), and agent orchestration for task automation.4. Cloud & MLOps: Azure Machine Learning, Databricks, MLflow Model Registry, CI/CD pipelines via Azure DevOps.5. Application Development: Web app development and deployment with Flask, HTML, Dash, Gradio, and Azure App Services. Scientific Computing: High-performance numerical analysis, parallel computing, and scientific programming (Python, R, Fortran, MATLAB, Mathematica).7. Certifications: Data Science Bootcamp (Data Science Dojo), Six Sigma Yellow Belt. Gen-AI (Google/Kaggle)In my past life, I earned my Ph.D. in Computational Nuclear Structure Physics from Mississippi State University, with research interests that spanned low-energy computational nuclear structure physics, nuclear astrophysics, dripline physics, and high-spin nuclei. My academic work involved intensive scientific computing, parallel supercomputing, extensive data analysis, and visualization. For a complete list of my research publications, please visit my Google Scholar profile: & hl=en. I am actively interested in expanding my professional network, exploring collaborative opportunities, and contributing to innovative projects at the intersection of data science, AI/ML, and Physics and Astronomy. Please feel free to reach out at: d••••••••@gmail.com / d•••@bigriversteel.com.
Experience
Data Scientist
Oct 2021 — Present · US
Education
Springboard
Data Science Career Track, Data Science
2019 — 2019
University of Calcutta
Master of Science (M.Sc.), Physics
2008 — 2010
University of Calcutta
Bachelor of Science (B.Sc.), Physics
2004 — 2008
Stanford University Graduate School of Business
Stanford Ignite, Certificate Program in Innovation and Entrepreneurship, Business Administration and Management, General
Mississippi State University
Doctor of Philosophy (Ph.D.), Physics
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