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.