Anurag Ghosh
Data Scientist
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolAnurag Ghosh is a data scientist and AI master's candidate at Northeastern University with eight years of software and ML experience building production-ready analytics and microservice systems. He has delivered end-to-end solutions—from migrating legacy retirement applications to microservices to architecting a real-time log analysis platform that won enterprise adoption and drove new revenue—while blending strong software engineering skills (Java, Spring, Node.js) with advanced ML (XGBoost, Gaussian Processes, BERTopic, LLM retrieval). His work spans applied research and industry: developing OSNR estimation models with physics-informed features, multimodal causal frameworks combining time-series and LLM reasoning, and high-impact internships at Universal Music Group and Ribbon Communications. Comfortable across the stack, he pairs algorithmic rigor (data structures, OOP, DSP for RF fingerprinting) with product focus and a taste for web3/tools like IPFS and Langflow. Colleagues describe him as a practical innovator who turns noisy real-world data into interpretable, actionable insights.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering - BE, Computer Engineering, Bachelor of Engineering - BE, Computer Engineering at Ramrao Adik Institute of TechnologyMasters, Artificial Intelligence, Masters, Artificial Intelligence at Northeastern University
Github Skills (4)
python2
neural-network1
android1
firebase1
Programming languages (3)
Github contributions (5)
D3STRON/neuralbrickbreaker
Jun 2018 - May 2022
Contributions:10 commits, 8 pushes, 1 branch in 3 years 11 months
D3STRON/neuralnetworks
Jun 2018 - Oct 2024
Contributions:11 pushes, 1 branch in 6 years 4 months
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