Sridipta Roy

I'm a Data Analytics Engineering graduate student at Northeastern University with a unique foundation: 8+ years building data solutions at IBM and Wipro, now specializing in AI/ML Engineering.WHAT I BRING TO THE TABLE:Machine Learning & AI:I build end-to-end ML solutions that solve real problems. Recent projects include medical image classification achieving 0.82 macro-AUC with attention-based deep learning, customer churn prediction with 0.88 ROC-AUC, and clinical outcome prediction from EHR data. Currently focusing on MLOps (CI/CD pipelines, model monitoring). Also expanding into Generative AI—building RAG systems, experimenting with LangGraph for agentic workflows, and exploring how LLMs can solve domain-specific challenges.Production-Ready Data Engineering:At IBM, I led Azure data migrations for millions of files, built automated data pipelines with Azure Data Factory, and delivered 50+ client projects. I understand how technical solutions connect to business KPIs—not just in theory, but from years of translating stakeholder requirements into working systems.Business Acumen + Technical Depth:My 2 years working onsite in the U.S. on H1B gave me firsthand experience in American corporate environments. I've collaborated with global clients, automated processes that reduced manual work by 50%, and communicated complex technical findings to non-technical stakeholders.TECH STACK:Python (Pandas, NumPy, Scikit-learn, TensorFlow), SQL, Azure (Data Factory, SQL Database), Power BI, MLOps toolsCURRENTLY SEEKING:Full time opportunities as AI/ML Engineer, Data Scientist, or Data Analyst.Let's connect if you're working on impactful AI/ML projects or building data-driven products!