Headline

Business Analyst II @ Meesho | Former SDE Intern @ IIM Ahmedabad | Amazon MLSS’24 | Analytics | Forecasting | Automation

About

Business Analyst at Meesho with experience in large-scale logistics, forecasting, automation, and revenue optimization. My work focuses on leveraging data to drive business outcomes, including revenue recovery, cost forecasting, operational automation, and predictive modeling across millions of monthly shipments. Previously, I worked as an SDE Intern at IIM Ahmedabad, where I contributed to the development of an HPC resource management platform, gaining hands-on experience in software development, authentication systems, and large-scale compute infrastructure. I hold a B.Tech in Computer Science from ABV-IIITM Gwalior and have a strong foundation in SQL, Python, analytics, forecasting, and data-driven decision making. I enjoy solving complex business problems through a combination of analytical thinking, technology, and stakeholder collaboration. I'm always open to connecting with professionals in analytics, data science, product, and technology.

Location

India

AI stack

claude

cursor

deepseek

gemini

grok

openai

Work experience

Business Analyst - II at Meesho, Jul 2026 - Present · 4 mos

Business Analyst - 1 at Meesho, Jun 2025 - Jun 2026 · 1 yr 1 mo, As a Business Analyst at Meesho, I work at the intersection of logistics, business finance, and analytics, driving large-scale initiatives across third-party logistics operations. My work focuses on forecasting, revenue optimization, cost analytics, automation, and process improvement to support data-driven decision-making. Key contributions: • Recovered INR 14 Cr/month in revenue leakage by identifying weight and zone billing anomalies, engineering SQL-based dispute frameworks, and driving process alignment across logistics partners. • Built a sub-order level logistics cost forecasting engine covering 92M+ monthly shipments, integrating actuals and predictive forecasts to improve profitability visibility and margin tracking. • Developed forecasting models for key Net/Gross bridge factors, achieving 97–98% accuracy across cancellations, returns, and RTO metrics, along with 99%+ accuracy for unmatured week projections. • Automated critical reporting workflows, including WBR, cancellations, and reimbursement reporting, reducing manual effort by 10+ hours per week through Google Apps Script-based solutions. • Evaluated carrier weight attribution strategies and quantified opportunities to improve margin realization through earlier and more accurate carrier weight signals. Through these initiatives, I have gained experience in large-scale analytics, forecasting, financial modeling, stakeholder management, automation, and translating complex operational data into actionable business insights.

Business Analyst Intern at Meesho, Jan 2025 - Jun 2025 · 6 mos, As a Business Analyst Intern at Meesho, I worked within the logistics and business finance ecosystem, supporting data-driven decision-making across First Mile, Last Mile, and Sort Center operations. Key contributions: • Developed a SQL-based returns projection model to estimate unmatured returns, identify category-level return drivers, and improve forecast accuracy to 98.5%. • Designed and automated a Last Mile payout provisioning model, achieving 98% accuracy against actual payouts while reducing manual effort by 90%. • Built interactive Apache Superset dashboards tracking 15+ logistics cost and operational KPIs, enabling self-serve analytics and reducing ad-hoc reporting requests by 50%. • Partnered with cross-functional stakeholders across operations, finance, and logistics teams to deliver analyses, improve reporting visibility, and support strategic decision-making. This experience strengthened my skills in SQL, data modeling, forecasting, dashboarding, business analytics, and translating complex operational data into actionable insights.

SDE Intern at Indian Institute of Management Ahmedabad, May 2024 - Jul 2024 · 3 mos, Ahmedabad, Gujarat, India, As an SDE Intern at IIM Ahmedabad, I contributed to the development of a High-Performance Computing (HPC) resource management platform used for managing large-scale compute infrastructure. Key contributions: • Implemented Google OAuth authentication and role-based access control (RBAC), enhancing security and streamlining access management for 200+ users. • Enhanced the admin portal with resource allocation, request management, and operational monitoring capabilities, improving administrative efficiency and visibility into HPC resource utilization. • Managed allocation and monitoring of HPC resources, including 3000+ GB RAM and 350+ CPU cores, enabling efficient utilization and reducing resource bottlenecks. • Developed responsive user interfaces and data visualizations to improve usability and provide clear insights into infrastructure usage. This experience strengthened my skills in full-stack development, system design, authentication systems, and building scalable solutions for resource-intensive environments.

Education

Bachelor of Technology - BTech, Computer Science, ABV-Indian Institute of Information Technology and Management

12th- Karnataka State Board, Narayana Junior College - India

Public links

github: https://github.com/narraabhigna

leetcode: https://leetcode.com/narraabhigna

abhignaportfolio.netlify.app: https://abhignaportfolio.netlify.app/