Headline

AI Developer | Full-Stack Developer | Data & QA Analyst

About

I am an AI Developer, Full-Stack Developer, and Data & QA Analyst with a passion for building practical, user-focused software solutions. I enjoy turning ideas into scalable applications by combining AI, modern web technologies, data analytics, and quality-driven development. My experience includes developing AI-powered applications, full-stack web solutions, interactive dashboards, and data-driven systems using React, TypeScript, Python, SQL, and Power BI. I enjoy solving real-world problems through automation, intelligent workflows, and clean, maintainable software. Beyond technical projects, I actively participate in hackathons, technical competitions, and community initiatives, believing that continuous learning and collaboration are essential for growth. These experiences have strengthened my problem-solving, adaptability, teamwork, and leadership skills. I am always eager to learn new technologies, take on challenging projects, and contribute to teams building innovative products that create meaningful impact.

Location

Bengaluru

AI stack

aistudio

antigravity

github copilot

meta

notebooklm

replit

Work experience

Data Analyst at Safa Baithul Maal, Nov 2025 - Nov 2026 · 1 y, Bangalore, Designed and executed SQL queries for data extraction, filtering, aggregation, and validation across 20+ branch datasets, supporting management decision-making and operational reporting. Built KPI summary dashboards and customized reports in Power BI and Excel, designing user-friendly visualizations tailored to stakeholder use cases and business needs. Performed variance and trend analysis on donor transaction and compliance data, achieving and sustaining 98%+ data accuracy and surfacing actionable insights for leadership. Collaborated with coordinators in requirements-gathering sessions to translate business needs into structured data formats, improving processing efficiency by an estimated 30%. Maintained end-to-end ETL pipelines — collecting, cleaning, and standardizing raw operational data from multiple sources for consistent reporting. Flagged data discrepancies and missing records to support incident identification and escalation, reducing manual follow-up effort and improving response time. Scripted data transformation and automation tasks using Python (Pandas), reducing repetitive manual operations and improving pipeline reliability. Documented data governance procedures, field definitions, and standardization guidelines to ensure consistency, confidentiality, and compliance across all data operations.

Education

Master of Computer Applications - MCA, Data science, bangalore university

HKBK Group of Institutions