ANUP SINGH
Senior Business Analyst | Data-Driven Growth & Operations| Business Strategy & Execution
New Delhi,DL
Summary
Senior Business Analyst with over 8 years of experience in the food-tech and FMCG sectors, specializing in driving data-led growth and operational transformation. Designed and deployed more than 15 scalable analytics frameworks that generated significant incremental revenue, influencing supply, pricing, and product strategies for over 50 brands and 2 app feature categories. Recognized as a strategic thinker adept at converting complex business challenges into actionable insights through advanced statistical analysis, and effective cross-functional collaboration. Has mentored multiple analysts, established robust analytics standards, and effectively communicated with both technical and non-technical stakeholders through compelling data storytelling.
Overview
9
9
years of professional experience
Work History
Senior Business Analyst
Swiggy
05.2019 - Current
- Owned the complete analytics function, acting as the de facto Analytics Lead for the Bolt and Crazy Deals verticals, including report creation, demand projections, impact sizing, and analytics requirement documents (ARDs) spanning 5 or more concurrent stakeholders.
- Managed stakeholder expectations through transparent communication and timely status updates, ensuring alignment between project deliverables and business objectives.
- Designed and implemented comprehensive frameworks (including Serviceability Health Scores and Item Sourcing Efficiency) that translated business goals into execution plans, driving a 5 PP improvement in Bolt order share from 8% to 13%.
- Analyzed 15+ A/B experiments, and translated results into actionable product recommendations. These recommendations lead to a 45K increment in iOPD (incremental orders) in the Bolt and Crazy Deal verticals.
- Consistently delivered second-order insights beyond the initial scope, leveraging domain knowledge to uncover hidden opportunities.
- Led a squad of three analysts; oversaw sprint planning, code reviews, and deliverable quality.
- Influenced stream stakeholders and leaders to act on insights through structured data storytelling, presentation design, and executive communication.
- Automated manual reporting within business and product verticals replaces ad-hoc manual reporting, optimizing analyst bandwidth for complex problem-solving.
Business Analyst
Swiggy
10.2021 - 04.2023
- Developed an intelligent pricing tool that analyzes market distributions, brand positioning, and competitive dynamics to recommend dynamic item pricing for Swiggy-owned brands; monetized as a premium analytics service for marketplace brands later.
- Impact: Generated incremental revenue from over 30 brands in the Bangalore marketplace by providing data-driven pricing recommendations affecting more than 500 SKUs.
- Designed an area-cuisine level benchmarking system, establishing AOV and GMV targets for new outlets and brands; enabled rapid scaling with clear KPI roadmaps for 50+ brand launches.
- Built a predictive framework identifying early warning signals for brand success or failure across performance metrics (ratings, repeat rates, retention).
- Spearheaded the Quality of Supply (QOS) framework using machine learning to identify hyper-local supply gaps; projected a 12% potential uplift in monthly orders across top cities (e.g., 23.6K incremental orders in Bangalore).
- Implemented a Random Forest model, providing actionable insights on target ratings, delivery efficiency, and discount optimization to maximize user repeat rates in a given area.
Business Analyst
Swiggy
05.2019 - 10.2021
- Conducted location analysis, identifying five high-potential expansion sites in Hyderabad and Delhi using market demand patterns and supply gap analysis; supported a 35-unit expansion.
- Rationalized underperforming outlets in Bangalore with minimal impact on service coverage through data-driven analysis during COVID downsizing, and preserved 80% of the service area while reducing operating losses.
- Led the development of an item-level forecasting model using time-series analysis (ARIMA, seasonal decomposition) to optimize inventory planning and procurement strategy.
- Achieved a 57% reduction in kitchen wastage (7% → 3%) through improved demand predictions.
- Reduced out-of-stock incidents by 43%, minimizing stockouts as the brand portfolio scaled.
- Implemented transformer-based NLP analysis on over 500,000 customer comments to systematically identify operational gaps in restaurant delivery and food quality.
- Identified high-impact pain points at the brand level and translated findings into an operational roadmap. Drove restaurant rating improvement from 3.9 to 4.2 (over a 3-month period) by addressing key pain points.
- Democratized the analysis with business and operations teams through the NLP dashboard, enabling faster operational response.
- Customer Experience Analytics and NLP Application (May 2019 - July 2021)
Business Analyst
Evalueserve
02.2018 - 04.2019
- Deployed an anomaly detection model in QC workflows, reducing report review time by 60%, and maintaining data integrity.
- Engineered fuzzy matching algorithm improves customer data matching accuracy by 30% across large datasets.
- Automated P&L reporting for a multinational FMCG client—handled end-to-end implementation of monthly Category Profit and Loss (CPL) reports, eliminating manual errors, and reducing reporting cycles.
Trainee Decision Scientist
Mu-Sigma
07.2017 - 01.2018
- Contributed to the credit card attrition prediction project for a leading US-based card issuer; worked on problem scoping, solution design, and model implementation.
- Gained foundational expertise in applied analytics, business problem decomposition, and solution frameworks.
Education
B.Tech - Mechanical Engineering
NIT Durgapur
Durgapur, India 04.2001 -
Skills
SQL
Technical Skills
SQL, Excel, Power BI, Google Sheets/Doc, Databricks, Snowflake, Python, Predictive Modeling, Time-Series Forecasting (ARIMA, Seasonal Decomposition), Machine Learning (Random Forest, Logistic Regression, Decision Trees), Statistical Analysis, Natural Language Processing (NLP), Sentiment Analysis, Customer Segmentation, A/B testing, Hypothesis Testing, User behavior analysis, Stakeholder Management, Metrics design & Instrumentation, Data visualization, Statistical analysis, Experimentation, Root-cause Analysis, Workflow Automation, Sprint Planning, building ARDs (Analytics Requirement Document)
Timeline
Business Analyst
Swiggy
10.2021 - 04.2023
Senior Business Analyst
Swiggy
05.2019 - Current
Business Analyst
Swiggy
05.2019 - 10.2021
Business Analyst
Evalueserve
02.2018 - 04.2019
Trainee Decision Scientist
Mu-Sigma
07.2017 - 01.2018
B.Tech - Mechanical Engineering
NIT Durgapur
04.2001 -