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Meha UpadhyayMU
Open to opportunities

Meha Upadhyay

@mehaupadhyay

I build AI-powered SaaS products by turning customer problems into scalable, measurable solutions.

India
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What I'm looking for

I'm looking to shape customer-centric AI and SaaS products, partnering with stakeholders and cross-functional teams to turn complex problems into scalable, measurable outcomes.

At Zignuts Technolab, I translate customer and stakeholder needs into AI-powered SaaS products across web, iOS, and Android for an EdTech language assessment platform.

I've led JTBD-based discovery workshops, authored BRDs, PRDs, user stories, acceptance criteria, and workflows, and partnered with product, engineering, UX, QA, and DevOps teams through delivery. My work reduced requirement rework by 30% and defined LangGraph and AWS Bedrock assessment automation that cut manual evaluation effort by up to 85%.

I've also developed Python and SQL demand forecasting models, built predictive student-retention analytics, and enjoy simplifying complex business challenges into customer-centric product decisions.

Experience

Work history, roles, and key accomplishments

ZT

Business Analyst

Zignuts Technolab

Jan 2025 - Jul 2026 (1 year 6 months)

Partnered with international clients and cross-functional teams to translate business needs into AI-powered SaaS solutions. Authored BRDs, PRDs, and user stories, and defined requirements for AI-driven assessment workflows, reducing manual evaluation effort by 85%.

IN

Virtual Data Analytics Intern

Innodatatics

Jun 2022 - Sep 2022 (3 months)

Developed Python and SQL-based demand forecasting models that reduced inventory levels by 15%. Analyzed operational and customer datasets to uncover behavioral patterns and translated insights into interactive dashboards.

Education

Degrees, certifications, and relevant coursework

LR

LDRP Institute of Technology and Research

Master of Computer Application, Computer Application

2023 - 2025

Grade: 7.4 CGPA

Pursued a Master of Computer Application degree, achieving a CGPA of 7.4.

Tech stack

Software and tools used professionally

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