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Srushti User

@srushtiuser

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Applied Data Scientist specializing in production ML, Web3 analytics, and scalable AI-driven systems.

India

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What I'm looking for

I seek roles building production ML and GenAI products with end-to-end ownership, strong engineering practices, and collaborative teams focused on impactful analytics.

I am an Applied Data Scientist with 2+ years building production-grade AI and data systems across Web3 and data domains, specializing in data pipelines, feature engineering, applied ML, and scalable APIs. I have delivered fraud detection and blockchain analytics solutions, developed model inference services with FastAPI, and supported end-to-end deployment and validation of analytic systems.

My projects include GenAI-powered products and RAG pipelines for codebase analysis and community sentiment intelligence, demonstrating hands-on experience with XGBoost, TensorFlow, LangChain, and vector stores. I emphasize pragmatic engineering—clean data ingestion, robust feature engineering, and production-ready APIs—to drive actionable analytics and reliable ML services.

Experience

Work history, roles, and key accomplishments

Applied Data Scientist

ChainAware.ai

Sep 2024 - Jan 2026 (1 year 4 months)

Built end-to-end Web3 intelligence analytics and risk systems across Ethereum, BNB, Polygon, Solana, Tron, Base, TON and HAQQ, improving fraud detection and analytics delivery. Developed data pipelines, feature engineering, XGBoost fraud models, and FastAPI services for scalable model inference and analytics.

Python Pandas PostgreSQL Web3 API XGBoost fastAPI Fraud Detection Model Evaluation

ML Intern

BharatForge CoE

Jan 2024 - Jun 2024 (5 months)

Built end-to-end ML workflows for predictive analytics including data collection, preprocessing, feature engineering, and model evaluation; implemented models using Scikit-learn, XGBoost and TensorFlow and performed validation and error analysis.