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Bharath Naveen

@bharathnaveen

I build and deploy end-to-end machine learning systems that turn data into decisions.

United States
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What I'm looking for

I'm seeking US-based data science, machine learning engineering, or analytics work where I can own end-to-end problems, build production data and ML systems, collaborate with technical and non-technical stakeholders, and relocate as needed.

I've built production-deployed machine learning systems at the University of Arizona, including a phishing detection pipeline using LightGBM, browser capture, HTML/DOM analysis, LLM-based brand-impersonation detection, Docker, and AWS ECR/ECS.

At Tata Consultancy Services, I automated Python and SQL data-collection workflows, saving about three days per reporting cycle, and built Power BI dashboards that eliminated manual update cycles for Microsoft stakeholders. I also analyzed test cases and defect records to identify high-risk areas and improve reporting quality.

I'm completing an MS in Information Science focused on Machine Learning and bring hands-on experience across ML modeling, NLP, ETL, cloud infrastructure, BI, and data validation.

Experience

Work history, roles, and key accomplishments

TS

System Engineer - Data & Analytics

Apr 2023 - Aug 2024 (1 year 4 months)

Automated SQL querying and data-collection workflows in Python, cutting ~3 days of manual effort per reporting cycle while improving data quality and pipeline reliability. Built 2 Power BI dashboards for bug-tracking and feature-progress reporting, serving 2 Microsoft stakeholders and eliminating manual update cycles.

Education

Degrees, certifications, and relevant coursework

University of Arizona logoUA

University of Arizona

Master of Science, Information Science

Grade: 3.89

Pursuing a Master of Science in Information Science with a focus on Machine Learning, maintaining a GPA of 3.89.

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