About me
I'm a Data Science & AI Engineer and MS candidate at Michigan Technological University (2024–2026), with a BS in Artificial Intelligence (GPA 8.34/10). I build production-minded data and AI systems across 7+ GitHub projects — from multi-agent LLM workflows and RAG research agents to ML recommenders, NLP apps, and automated ETL pipelines.
Through 4 months at Edulyt India and an internship at YBI Foundation, I've delivered SQL/ETL automation, KPI reporting, and NLP recommender systems. I'm targeting Data Scientist and AI/ML Engineer roles where I can ship measurable impact: faster decisions, better models, and reliable agentic applications.
What I'm doing
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AI Agents & LLM Applications
Designing multi-agent workflows, RAG pipelines, and tool-using agents with evaluation loops for real business tasks.
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Data Science & Analytics
End-to-end analytics: ETL automation, SQL pipelines, statistical modeling, and dashboards for KPI tracking.
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Machine Learning & NLP
Regression, classification, and hybrid recommenders; NLP sentiment systems and text-based relevance scoring.
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Model Deployment
Shipping models via Streamlit apps, Flask APIs, pytest-tested pipelines, and AWS/Docker-ready workflows.
Certifications
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IBM Data Science Professional
12-course professional certificate (June 2023) covering Python, SQL, ML, visualization, and statistical analysis with hands-on capstone projects.
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Google Data Analytics Professional
8-course certificate in data cleaning, Tableau/R visualization, SQL, and stakeholder-ready analytics for business decision-making.
