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Sheikh Asadullah

@sheikhasadullah

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Data Scientist building computer vision, RAG, and ML pipelines that improve safety and decision-making.

India

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What I'm looking for

I’m looking to build real-world ML systems—computer vision and RAG included—where I can own data-to-deployment impact, collaborate with engineering teams, and use MLOps (MLflow, Docker, CI/CD) to ship reliable models.

I’m a Data Scientist focused on end-to-end ML—from data prep and modeling to deployment-ready pipelines. At NR Ispat & Power (P) Ltd, I engineered a YOLO-based real-time PPE detection system to reduce manual inspection effort and strengthen safety compliance. I also delivered data-driven analytics that improved execution efficiency by 45% and supported on-time delivery by leading installation & commissioning of a 110 TPH AFBC boiler.

My work blends strong modeling fundamentals with practical MLOps. I built a LangChain-based RAG application using OpenAI to enable document Q&A over 1000+ chunks, improving retrieval focus by 80% with embedding + Chroma and reducing hallucinations by grounding LLM outputs in top-k context. I’ve also developed CNN-based image classification achieving 90%+ accuracy, and I’m comfortable developing production interfaces using FastAPI/Streamlit with tools like PyTorch, TensorFlow, MLflow, Docker, Kubernetes, AWS SageMaker, and Azure ML Studio.

Experience

Work history, roles, and key accomplishments

Data Science Internship

Edureka

Apr 2024 - Present (2 years 2 months)

Completed an Edureka internship delivering sentiment analysis and image classification projects using Python and TensorFlow, with Tableau for visualization, demonstrating proficiency in end-to-end ML pipeline development.

Python TensorFlow Tableau Sentiment Analysis Machine Learning EDA Data Visualization

Education

Degrees, certifications, and relevant coursework

O.P. Jindal University

Bachelor of Technology, Mechanical Engineering

2016 - 2020

Grade: CGPA: 6.8

B.Tech in Mechanical Engineering (CGPA: 6.8) with coursework including data structures and algorithms, probability & statistics, linear algebra, optimization techniques, and numerical methods.