Ritesh Kumar

Business Development Executive

Gurugram, Haryana, India6 yrs 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Built predictive models improving retention and profitability.
Designed data-driven solutions for creator economy challenges.
Expert in blending strategy, product thinking, and analytics.

Stackforce AI infers this person is a data-driven Business Analyst in the SaaS industry.

Contact

rksriitkgp@gmail.com LinkedIn

Skills

Core Skills

Business AnalysisData Analysis

Other Skills

RedashBRDPython (Programming Language)Business Analysis Planning & MonitoringTableauStrategyBusiness RequirementsSQLBusiness UnderstandingData VisualizationDebeaverProject ManagementCustomer Relationship Management (CRM)Project PlanningMicrosoft Power BI

About

Business Analyst with 3+ years of experience across high-growth startups. I specialize in driving business impact through data, from building predictive models and fraud detection systems. I’m passionate about using data to solve real-world problems, especially in the creator economy, and I thrive in roles that allow me to blend strategy, product thinking, and analytics. 📊 Skills: SQL | Python | Tableau | Databricks | Zoho Analytics | C++ | RFM | A/B Testing

Experience

6 yrs 10 mos

Total Experience

1 yr 1 mo

Average Tenure

9 mos

Current Experience

Meesho

Senior Business Analyst

Aug 2025 – Present · 9 mos · Bengaluru, Karnataka, India

Wishlink

Business Analyst

Aug 2023 – Jul 2025 · 1 yr 11 mos · Gurugram, Haryana, India · On-site

Creator Team
Built a churn prediction model that improved M3 retention by 12% through targeted re-engagement.
Detected and reduced fraudulent creator activity by 30%, increasing profitability by 5%.
Designed real-time credit allocation models, reducing budget burn by 85%.
Launched reward contests to boost creator engagement by 40% and retention by 25%.
Onboarding Team
Conducted A/B testing on micro-payouts that led to a 20% rise in creator engagement.
Analyzed drop-off points and implemented fixes that lifted the onboarding funnel by 30%.
Prioritized leads using RFM and LSQ, resulting in 20% more quality creators.
Restructured onboarding, leading to a 40% jump in M0 GMV.
Central Analytics Team
Built a Growth RCA dashboard, improving decision-making by 25%.
Migrated data infra from Postgres to Databricks — reduced query time by 80%.
Developed a matchmaking model that improved brand-collab success by 20%.

RedashBRDPython (Programming Language)Business Analysis Planning & MonitoringTableauStrategy+7

Apna

Business Analyst

Jun 2022 – Jul 2023 · 1 yr 1 mo

RevOps team
Point-of-contact for RevOps analytics, improving decision agility by 30%.
Built LPM model (80% accuracy) to improve lead quality → 5% pipeline uplift.
Designed job credit allocation for micro-markets → improved employer retention by 20%.
Built PPJ pricing model aligned with user behavior → 5% revenue uplift.
Created dashboards in Tableau that cut manual tracking effort by 50%.

BRDBusiness Analysis Planning & MonitoringTableauStrategyBusiness RequirementsSQL+2