Headline

Business Analyst - II @ Meesho | NSUT’25

About

I'm a Business Analyst with 1+ year of experience, with a strong user-first and problem-first mindset, focused on solving complex business problems through data. Proficient in SQL, Python, and BI tools, my strengths lie in analytical thinking, structured problem solving, and stakeholder management across product, business, and tech teams. I’ve worked on: - Data pipelines used by Tech and Data Science teams - Dashboards used by leadership and product teams - Experimentation and RCA for feature launches and key business metrics - Pricing and competition systems driving platform-level growth and user experience I enjoy working on ambiguous problem statements and take high ownership in driving them from problem definition to measurable impact. I prefer environments where analytics drives decision-making and product direction, rather than acting as a support layer.

Location

Bengaluru

AI stack

replit

Cerebras

LlamaParse

Work experience

Business Analyst II at Meesho, Jan 2026 - Present · 10 mos, Worked on competition grouping to reduce view-weighted price (VWP) by improving product swaps; identified attribute-level constraints and drove targeted rollbacks, and led an image-matching based experiment to improve product discovery and drive measurable improvements in conversion metrics

Business Analyst - I at Meesho, Jul 2025 - Dec 2025 · 6 mos, • Worked on development of seller-facing panels for WDRP(Wrong and Defective Returns Only) Prices and SFPD(Supplier-Funded Prepaid Discounts), scaling adoption across 60K+ sellers and 14M+ products, resulting in reduced platform return rates and improved prepaid adoption. • Designed and analyzed prepaid discount experiments to align seller incentives with user demand, driving reduction in RTO rates and improving pricing efficiency. • Reduced SFPD order leakage by ~0.4% of platform orders by automating seller opt-in validation, ingestion workflows, and alerting systems. • Built data workflows to convert seller opt-ins into system-ready inputs, enabling seamless integration with pricing systems.

Business Analyst Intern at Meesho, Jan 2025 - Jun 2025 · 6 mos, Bengaluru, Karnataka, India, • Analyzed a pricing program to identify drivers of seller adoption and platform impact, enabling data-backed decisions on scaling and rollout. • Identified and resolved issues in seller pricing classification logic, improving coverage and pricing accuracy across the platform. • Completed structured training in SQL, Python, Pandas, PySpark, business metrics, and statistics; applied these to build a capstone project on price sensitivity and customer behavior to improve conversions.

Data Analyst at CSRBOX, Jul 2024 - Aug 2024 · 2 mos, New Delhi, Delhi, India, PROJECT : Water Quality Analysis and Prediction using Data analysis and Machine Learning - Developed a predictive model using Python and machine learning (Scikit-learn), analyzed large datasets with Pandas and NumPy, and proposed actionable solutions through data visualization in Power BI. This work aligned with Sustainable Development Goal (SDG-6) of Clean Water and Sanitation.

Full Stack Developer at Alhansat Solutions, Sep 2023 - Oct 2023 · 2 mos, New Delhi, Delhi, India, Designed and implemented complex, dynamic user interfaces using HTML5, CSS3, and JavaScript, integrating React.js frameworks to create highly interactive and responsive tools on the DeveloperStar Platform

Executive Committee Member at IEEE NSUT, Nov 2022 - Mar 2024 · 1 yr 5 mos, - Organizing Committee Member for IEEE Xtreme Hackathon: Played a key role in planning and executing the IEEE Xtreme Hackathon during TechWeek. - Project Inspire Member: Actively engaged in promoting STEM education by visiting government schools and inspiring students through hands-on learning and mentorship.

Member at IEEE NSUT, Mar 2022 - Oct 2022 · 8 mos

Education

Bachelor of Technology - BTech, ICE, Netaji Subhas University of Technology

Gyan Mandir Public School - India