Headline

Building Products That Matter at Scale | SIH Winner ’24 | Anveshan AIU International Winner ’25

About

Worked as a Product Analyst at WelcomeScreen, contributing to product optimization by analyzing user behavior, defining workflows and refining product specifications. Actively engaged in supporting agile development processes through sprint planning and effective communication with stakeholders. Pursuing a Bachelor of Technology in Computer Science at Lovely Professional University, with an anticipated graduation in August 2026. Recognized for achievements as a Smart India Hackathon 2024 and AIU Anveshan 2025 with skills in product management, analyst relations, and e-commerce. Motivated by creating impactful solutions that enhance user experiences and align with organizational goals. Connect with me : ranisatapathysmita@gmail.com

Location

Bengaluru

AI stack

antigravity

mastra

metaai

replit

Work experience

Product Analyst at WelcomeScreen, 2026 - 2026 · Less than a year, Bengaluru, Collaborating with cross-functional teams to analyze product requirements, define user workflows, and translate business needs into actionable product specifications, improving feature clarity and reducing development rework. Conducting data-driven product analysis using dashboards, user behavior insights, and performance metrics to support decision-making, optimize user experience, and enhance product adoption. Supporting sprint planning, backlog grooming, and stakeholder communication while documenting PRDs, user stories, and acceptance criteria within agile development cycles.

Technical Intern at Indian Army, May 2025 - Jul 2025 · 3 mos, Jalandhar Cantonment, Engineered a mission-critical Drone Surveillance dashboard using React, TanStack Query, Chart.js, enabling real-time threat telemetry with 34% faster event loads (190 ms reduction) and +23 Lighthouse score; ensured WCAG 2.1 AA and defence-grade RBAC access control, integrating audio–visual anomaly logs for higher operator precision. Implemented a hardened Node.js + Express backend with WebSockets for low-latency drone event ingestion, reducing packet-delay variance by 27%; optimized MongoDB Aggregation Pipelines for telemetry analytics and conducted responsive testing using Vitest, achieving field-grade performance under variable network conditions.

Education

Bachelor of Technology - BTech, Computer Science, Lovely Professional University

Intermediate level, Dav public school chandrasekharpur