ARYAN SINGH

Business Development Executive

Bengaluru, Karnataka, India1 yr 4 mos experience

Key Highlights

Dual-degree student with strong analytical skills.
Proven track record in data-driven growth initiatives.
Experience in both engineering and business analytics.

Stackforce AI infers this person is a data-driven analyst with experience in e-commerce and manufacturing sectors.

Contact

Skills

Core Skills

Data AnalysisCampaign AnalyticsAttribution ModelingProduct ManagementChemical EngineeringCopywriting

Other Skills

Analytical SkillsProblem SolvingCohort AnalysisXGBoost ModelingUser Experience DesignPythonSQLMicrosoft Power BISearch Engine Optimization (SEO)Sales AnalysisTrend AnalysisMarketing Mix ModelingOnline MarketingTaekwondoDesign Team Coordination

About

I’m a dual-degree student at BITS Pilani, pursuing M.Sc. (Hons.) in Physics and B.E. (Hons.) in Chemical Engineering. Currently, I work as a Business Analyst – 2 at Meesho in the User Growth charter, where I focus on data-driven growth initiatives. I have previously interned at JSW Steel and Aditya Birla Chemicals, gaining exposure to industrial processes, analytics, and business operations. Alongside, I freelance in copywriting and ghostwriting, creating content for diverse clients.

Experience

1 yr 4 mos

Total Experience

1 yr 4 mos

Average Tenure

1 yr 4 mos

Current Experience

Meesho

4 roles

Business Analyst - 2

Promoted

Jan 2026 – Present · 4 mos

1. Drove growth during MBS (Meesho’s flagship sale) by leading analytics and strategy for Sale Comms; leveraged a user category affinity model to deliver ~X% uplift in notification-led DAU, reaching ~YM DAU on Day 1
2. Scaled user reach across frequent sale cycles by owning end-to-end analytics & ops for Sale Comms (PN, RCS, IVR); executed campaigns at massive scale (X+ via PN, YM+ via RCS/IVR) across monthly sales
3. Solved attribution challenges in Sale Branding (Digital, OEM, TV) where direct tracking wasn’t feasible; built heuristic & DS models to estimate impact, delivering ~X–YM incremental DAU per campaign

Data AnalysisCampaign AnalyticsAnalytical SkillsProblem Solving

Business Analyst - 1

Jun 2025 – Jan 2026 · 7 mos

1. Solved stagnant DAU/MAU (~X–Y%) despite MAU growth (XM→YM) via cohort analysis and XGBoost modeling (2M users); identified key drivers and churn risks, revealing 10+ day users drove Z% of orders
2. Developed channel-wise DAU attribution model using 4-hour slot analysis vs BAU, enabling targeted campaign spend and driving incremental DAU from ~X–YK to ~X–YM per campaign.
3. Evaluated OEM vs Meta/Google via experiments; quantified headroom (Oppo: A%, BM devices, CM DOA) and identified lower CPI but weaker conversion, driving budget shifts
4. Eliminated manual data pulls by building self-serve dashboards and improved OEM analytical model efficiency (Ah→Bh), accelerating decision speed and reliability

Data AnalysisCohort AnalysisXGBoost ModelingAttribution Modeling

Product Management Intern

Jan 2025 – Jun 2025 · 5 mos

1. Improved discount perception on CLP by implementing price-drop animations, driving ~X% uplift in O/DAU
2. Enhanced homepage visibility via ‘Recently Viewed’ widget with dynamic discount tags, driving ~Y% CTR uplift
3. Addressed negative O/DAU (-X%) despite positive DAU/E (+Y%) by conducting RCA and identifying the configuration which overrides from default PN setups; descheduled campaigns, improving O/DAU to +Z%

Product ManagementUser Experience Design

Associate Product Manager

Jan 2025 – Jun 2025 · 5 mos

Improved discount perception on CLP by implementing price-drop animations, driving ~9% uplift in O/DAU
Enhanced homepage visibility via ‘Recently Viewed’ widget with dynamic discount tags, driving ~12% CTR uplift
Addressed negative O/DAU (-2%) despite positive DAU/E (+1.7%) by conducting RCA and identifying the configuration which overrides from default PN setups; descheduled campaigns, improving O/DAU to +0.25%.

Product ManagementUser Experience Design