Aayush Singla

Business Development Executive

Gurugram, Haryana, India3 yrs 4 mos experience

Key Highlights

Proven track record in data-driven insights.
Expert in developing recommendation systems.
Strong leadership in cross-functional teams.

Stackforce AI infers this person is a B2C Product Analyst with strong data analysis and operational optimization skills.

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Skills

Core Skills

Data AnalysisProduct Analysis

Other Skills

A/B TestingAnalytical SkillsBigSQLDashboardsData VisualizationEnglishEntity RecognitionGeospatial Data ModelingGoogle BigQueryGoogle SheetsHardworkingIT Business AnalysisLooker StudioMachine LearningMachine Learning Algorithms

About

Results-driven Product Analyst at Zomato. Proven track record of driving data-driven insights, optimizing operations, and enhancing user experiences. Proficient in SQL, Python, and data analysis techniques. Adept at developing personalized recommendation systems and managing complex mathematical inventory models. Demonstrated leadership in cross-functional teams and a commitment to delivering tangible results in dynamic, fast-paced environments. Seeking opportunities to leverage analytical skills and contribute to the growth and success of a forward-thinking organization

Experience

3 yrs 4 mos

Total Experience

2 yrs 3 mos

Average Tenure

1 yr 1 mo

Current Experience

Noon

Business Analyst

May 2025 – Present · 1 yr 1 mo · Gurugram, Haryana, India · Hybrid

PythonData AnalysisGeospatial Data ModelingEntity RecognitionA/B TestingProduct Analysis

Zomato

Product Analyst

Jan 2023 – Apr 2025 · 2 yrs 3 mos · Gurugram, Haryana, India · On-site

Worked at Hyperpure by Zomato, a B2B platform for kitchen supplies.
Enhanced Search Feature Implementation
1. Implemented a new search feature that significantly improves user experience by breaking down keywords into their respective attributes and brands. This innovative algorithm simplifies the search process, ensuring users can easily locate desired items.
2. Implemented a sophisticated entity recognition layer categorizing keywords, attributes, and brands, and integrated synonym recognition for precise search results.
3. The conversion of items from search to cart has increased from 56% to 64%, signifying a significant positive impact on user engagement and conversion rates.
Delivery Route Optimization through Idle and Traffic Monitoring
1. Geospatial Data Modeling: Utilized Python for tracking and analyzing DA locations, identifying idle and traffic clusters through data fetching and iterative model refinement, improving route efficiency.
2. Operational Efficiency: Monitored DA speed, categorized pings, and addressed traffic and idle periods, significantly improving DA behavior and increasing on-time delivery rates from 83% to 92%.
3. Business Impact: Identified Points of Interest (POI) to refine models and enhance OTD. Provided actionable insights for route optimization, boosting operational efficiency.
Personalized New Carousel for Top Selling Dishes
1. Developed a feature to recommend ingredients based on highest-selling dishes, enhancing user experience and implemented A/B testing experiments
Fraudulent Outlet Detection Project
1. Implemented fraud prevention measures by analyzing location clusters, detecting consistent orders with identical device IDs, and identifying patterns of repetitive and duplicate orders.
2. Implemented system enhancements, including tracking first-order outlets, a polygon-based ticketing system, and automated checks for outlets with suspicious characteristics, resulting in a more secure and reliable system.