Lakshya Mathur

Business Development Executive

Bengaluru, Karnataka, India2 yrs 8 mos experience

Key Highlights

Drove 300% increase in orders through data-driven strategies.
Developed churn prediction model enhancing user retention.
Strong analytical skills in high-pressure environments.

Stackforce AI infers this person is a Q-Commerce Growth Analyst with strong data analysis and project management skills.

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Skills

Core Skills

Data AnalysisBusiness Strategy

Other Skills

SQLProject ManagementMicrosoft OfficeOrganization SkillsHTMLData StructuresAlgorithmsMySQLjQueryCascading Style Sheets (CSS)Embedded JavaScript (EJS)C++Node.jsJavaScript

About

Experienced Business Analyst working in Q-Commerce industry possessing unique combination of business analysis, solid SQL query writing skills and familiarity of visualization tools & techniques with the ability to work in high-pressure environments. Demonstrate strong analytical skills to investigate trends in large amounts of data and formulate conclusions based on findings.

Experience

2 yrs 8 mos

Total Experience

2 yrs

Average Tenure

7 mos

Current Experience

Careem

Senior Growth Analyst

Nov 2025 – Present · 7 mos · Bengaluru · Remote

Analyzed user behavior and geographical demographics to create targeted cohorts for improved growth strategies.
Leveraged CRM and differentiated homepage content to enhance the discovery of profitable verticals.
Collaborated with cross-functional teams to implement data-driven insights, driving overall growth initiatives.

Zepto

2 roles

Senior Growth Analyst

Promoted

Nov 2024 – Oct 2025 · 11 mos · On-site

Drove a 300% increase in orders for Early Lifecycle Customers through data-driven investment strategies.
Developed a churn prediction model to identify at-risk users and inform retention strategies.
Optimized user segmentation based on app behavior, enhancing customer engagement and profitability.

SQLProject ManagementData AnalysisBusiness Strategy

Growth Analyst

Aug 2023 – Oct 2024 · 1 yr 2 mos · On-site

Conducted daily analysis and automated tracking of NZS and CBP campaigns, ensuring seamless execution.
Established a live tracking system for Coupon Discounts, implementing an alert mechanism for user cohorts.
Achieved a 100% increase in Receivables PO while maintaining Cart:Buyer Conversion rates through user segmentation and data analysis.
Increased buyer reactivation by 4% with targeted incentivization strategies on fruits and vegetables.

SQLProject ManagementData Analysis