Naman

Data Analyst and Power BI Developer with hands-on experience designing, building, and deploying end-to-end BI solutions using SQL, Power BI, DAX, and Power Query across large, multi-table data models. Skilled in data ingestion, transformation, and modeling to turn raw, multi-source data into accurate, decision-ready dashboards, with practical use of Microsoft Fabric, Power Platform automation, performance optimization, and AI-assisted development tools (GitHub, MCP-enabled Claude workflows, Fabric Copilot). Bachelor's degree in a quantitative engineering field; fluent in English and Hindi.

Power BI Developer - MandelBulb Technologies

(2026-05)

• Architected centralized Power BI reporting solutions by integrating Excel, SQL databases, APIs, cloud platforms, and Power Platform (Power Apps, Power Automate, Power Pages) into unified data models for cross-functional business reporting.
• Streamlined data cleaning, transformation, and modeling in Power Query and SQL, improving reporting accuracy and reducing turnaround time on stakeholder dashboards.
• Leveraged Microsoft Fabric and MCP-enabled AI workflows, including Claude-based code generation, to accelerate analytics development, increase BI reporting productivity and decreased manual work by 20 %.

AI/ML Intern – Infosys Springboard Internship 6.0 - Infosys

(2025-11 - 2026-02)

• Engineered an NLP-based SMS phishing detection pipeline (tokenization, stemming, TF-IDF) as part of a national-level, mentor-led AI/ML training program, processing 5,000+ messages to flag and triage malicious content at scale and achieving 95%+ model accuracy.

B.Tech - Robotics and AI - YMCA, J.C. Bose University of Science and Technology, Faridabad (2022 - 2026)