I am a Data Analyst with 2.5 years of experience across fintech, AI evaluation, analytics, and software testing. I use SQL, Python, Excel, and BI tools to translate business problems into measurable insights and practical improvements.
I have analyzed release quality, defect trends, KPI metrics, and risk indicators for global wealth-management clients. My cross-functional work with QA, product, and business teams contributed to a 20% reduction in post-deployment issues.
I build end-to-end data workflows, including ELT pipelines using dbt and DuckDB, and create business-ready Power BI dashboards. I am experienced in exploratory data analysis, data cleaning, data modeling, dashboarding, and stakeholder reporting.
I also have experience evaluating AI-generated outputs, comparing model responses against structured quality frameworks, and applying prompt engineering to solve business problems. My background includes computer vision, medical image segmentation, and object-detection projects.
I am comfortable working in collaborative, detail-oriented environments and have experience with automation testing frameworks, test design, reporting, and debugging. I bring a strong analytical mindset, an interest in continuous learning, and a focus on delivering reliable, actionable outcomes.
Built and maintained a scalable, reusable test automation framework using Playwright and BDD.
Automated end-to-end banking application workflows and implemented data-driven and dynamic test-execution strategies. Collaborated on framework debugging, test design, fixture management, and reporting to improve automation reliability and maintainability.
Analyzed AI-generated data and evaluated response quality using structured frameworks for the Spider Web project, supporting improvements in model accuracy and reliability.
Compared and scored multiple AI responses for the Dibble project to identify high-value recommendations. Ensured outputs were factually sound, instruction-aligned, and practically useful for end users.
Analyzed data for more than 10 major global wealth-management clients, including SMTB and James Hay, to improve release planning and risk tracking.
Used SQL and Excel to identify defect trends and calculate KPI metrics such as defect leakage and test readiness. Partnered with QA, product, and business teams to present insights that contributed to a 20% reduction in post-deployment issues.
Worked on a medical image-segmentation project involving more than 1,000 multimodal MRI and CT scans.
Used NumPy, Pandas, and OpenCV for exploratory data analysis and Matplotlib to visualize segmentation outputs. Contributed to approximately 10% improvement in segmentation performance.
Collected and annotated more than 5,000 images for computer-vision model training. Optimized labeling workflows with LabelImg, improving throughput by 30%.
Developed a YOLO-based object-detection model achieving approximately 70% accuracy. Produced class-level performance reports using Pandas and Matplotlib.
Bachelor of Technology
Completed B.Tech with an academic score of 85%.
12th
Completed higher secondary education with a score of 90.5%.
10th
Completed secondary education with a score of 94.6%.
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