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Evan O.
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Evan O.

Marketing/Customer Analytics-CLV, MMM, Pricing, Conjoint, Forecasting

Customer lifetime value (CLV/LTV) modeling is my specialty. Using probability models (BG/NBD, Pareto/NBD, Gamma-Gamma), retention curves, and RFM segmentation, I tell you who your most valuable customers are, what they are worth, and how to acquire more of them. Around that core I bring the full marketing-analytics toolkit - marketing mix modeling (MMM), multi-touch attribution, pricing, and forecasting - in Python and R, for CPG, DTC, media, fintech, and B2B clients. Over 30 years I have directed more than $70M in combined consumer-insights and analytics spend - $20M+ client-side (Bacardi Global Brands) and $50M+ agency-side (GfK, Millward Brown/Kantar) - so I read these models the way a CMO does, not just a data scientist. I translate model output into the decision, the deck, and the board-ready story. What I deliver: - Customer lifetime value (CLV/LTV): BG/NBD and Pareto/NBD + Gamma-Gamma probability models, retention curves, cohort and RFM segmentation; forecast customer value and surface your most valuable acquisition cohorts for DTC and subscription brands. - Marketing mix modeling & media ROI: ARIMAX, Bayesian/hierarchical, and regression models with adstock and saturation; in a recent engagement I identified a channel-reallocation opportunity worth roughly a 185% gain in marketing efficiency. Build from scratch, or finalize, validate, deploy, and maintain existing models (Python or R). - Attribution & measurement: reconciling Meta / Google / GA4 platform reporting against actual business outcomes; blended CAC and single-source-of-truth frameworks. - Pricing & forecasting: conjoint / willingness-to-pay studies and supervised-ML pricing models (random forest, gradient boosting) deployed as interactive calculators. - Data engineering & viz: BigQuery warehousing, dashboards (Power BI, Tableau, Looker Studio), and clear recommendations leadership can act on. Credentials: Wharton MBA (Marketing), Brown B.A. in Applied Mathematics. Top Rated on Upwork with 100% Job Success across 8 engagements. Stack: Python, R, SQL, SAS, Azure, AWS, GCP/BigQuery, Power BI, Tableau, GA4, Looker Studio. Fluent in Spanish, working Portuguese - comfortable on global, multi-market engagements. I keep scope tight, communicate in business terms, and hit deadlines.

🇺🇸Key Biscayne, United States$125/hr100% JSS5.00 (8)Since Jun 2017
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Earnings and projects

MRR
$82

Last 6 months ÷ 6

World#139,907 / 412k
🇺🇸Country#18,943 / 62.1k
Revenue, last 30 days
$0

Last 6 months: $495

Total earnings
$16k

Billed in all: $16k

World#159,582 / 412k
🇺🇸Country#26,043 / 62.1k
Per project
$1.6k

$247 in the last 6 months

World#92,116 / 412k
🇺🇸Country#15,589 / 62.1k
Projects, last 6 months
2

Across 3 contracts

67% fixed33% hourly
World#88,918 / 412k
🇺🇸Country#11,762 / 62.1k
Projects in all
10

Across 11 contracts

45% fixed55% hourly
World#201,797 / 412k
🇺🇸Country#28,778 / 62.1k

Earnings, last 30 days

$16.3kNothing earned in the last 30 daysBilled in all, before Upwork's fee · drag across the chart to see what was earned in any stretch
$16.0k$16.2k$16.4k$16.6kOct 8Oct 23Nov 7

Skill rankings: Top 13% in Random Forest

Ranked by MRR among everyone on Upwork with the skill.

  1. 3Random Forest24 freelancers · 🇺🇸 #1Top 13%
  2. #4Conjoint Analysis19 freelancers · 🇺🇸 #2Top 21%
  3. #4Gradient Boosting10 freelancers · 🇺🇸 #1Top 40%
  4. #60SAS239 freelancers · 🇺🇸 #16Top 25%
  5. #61Time Series Analysis255 freelancers · 🇺🇸 #9Top 24%
  6. #108Pricing Strategy Consulting244 freelancers · 🇺🇸 #29Top 44%
  7. #119Python Scikit-Learn555 freelancers · 🇺🇸 #19Top 21%
  8. #376R1,693 freelancers · 🇺🇸 #99Top 22%