Data Science Strategist

(Jun 2018 - Dec 2019)

DATA SCIENCE

  • Conducted binary logistic regression analysis on sales team Won / Lost sales over last 24 months

    • Identified key insights by proposal age, rising/falling win rates by territory, and deal size which the sales team used

  • Conducted univariate financial attribute analysis linking product characteristics to company profit

    • Quartile binning of 4 key factors created as compound KPI success metric

DATA ANALYSIS

  • Analyzed sales success, CRM contact interactions, and post-sale business metrics to identify the best products for the sales team to sell

  • Analyzed ROI on price break during Fall sale, compared trends and YOY comparisons to identify the success of marketing tactic

  • Compared predictive model success predictions vs sales team behavior, performed qualitative survey study to identify model strengths and weaknesses

  • Analyzed the effect of Email marketing channels by comparing sales success ratios for audience vs control group response rates.