You will get ASIN-Level Amazon P&L, PPC & Pricing Science for Profitable Growth
Rising Talent
Rising Talent
Project details
Achieve at least 10% YoY profit growth and 20% YoY sales growth in under 90 days — or your money back — using our price optimization, ad optimization, actionable recommendations, clear P&L insights, and disciplined delivery.
Industry
Consumer Goods, EcommercePlatform
Amazon, ShopifyLanguage
EnglishWhat's included
| Service Tiers |
Starter
$200
|
Standard
$400
|
Advanced
$6,000
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 60 days |
Inventory Management | - | ||
Order Management | - | - | |
Customer Assistance | - | - | |
Payment Processing | - | - | |
Product Offers & Promotions | - | ||
Reporting |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $500About Raveena
Amazon PPC Data Scientist | ASIN-Level P&L Optimization
Los Altos, United States - 9:01 pm local time
Amazon PPC shouldn’t be a black box.
I’m an Amazon PPC Data Scientist with an engineering background from a top institute, focused on profit-first growth — not inflated spend or cosmetic ACOS.
Experience and Outcomes:
Belkin – Amazon & Ecommerce Growth (Managed $70M+ Sales and Ad Budgets)
AI-driven pricing optimization (Audio category):
Designed and implemented AI-based pricing models that reversed profitability in the audio category from –$1M in FY2023 to +$800K in Q1 2024, while maintaining competitive market positioning.
Surge Category pricing optimization:
Corrected aggressive pricing strategies that had driven a 40% YoY sales decline in 2023, stabilizing revenue to 0% decline and delivering a 1% improvement in profit, proving margin recovery without further volume erosion.
Ads budget forecasting & allocation:
Led ad budget recommendations and demand forecasting that turned the entire business profitable, delivering 25% YoY profit growth (2022–2023) while scaling sales from $67M to $75M through disciplined, SKU-level budget allocation.
Causal Inference & Experimentation Lead — Marketplaces (Belkin)
Led all test-and-learn and experimentation initiatives across marketplace channels, serving as the central owner for causal inference, measurement design, and decision integrity.
Partnered with McKinsey to design and institutionalize a unified scientific experimentation framework, covering opportunity sizing, minimum detectable effects (MDE), power calculations, and statistical significance standards.
Built custom A/B and quasi-experimental measurement code in Python, enabling consistent, bias-aware readouts across pricing, promotions, ads, and merchandising tests.
Created a standardized experiment readout template that aligned stakeholders on results, confidence levels, and business impact—eliminating ad hoc interpretations.
Reduced time-to-experiment by 100% (2× faster), accelerating decision velocity.
Enabled 16% business scale and 200%+ profit growth, driven by faster, higher-confidence experimentation and better capital allocation.
New product launches & product–market fit:
Drove successful launches of 5+ flagship products in the surge category by combining competitive pricing analysis, feature differentiation, and launch economics—achieving Top 100 category sales rank within 3 months for each product.
I work best with founders and serious brands who want clarity, control, and sustainable growth — not guesswork.
Steps for completing your project
After purchasing the project, send requirements so Raveena can start the project.
Delivery time starts when Raveena receives requirements from you.
Raveena works on your project following the steps below.
Revisions may occur after the delivery date.
Get Amazon Data Run Analysis and produce actionable recommendations
You'll get at ASIN Level 1) Pricing Recommendations 2) Ad spend, Profit Recommendations 3) Inventory Forecast based on recommendations 4) Content Recommendations for SEO, A+ to improve discoverability 5) PPC bidding