Data Science consultant working closely with private equities to help traditional non-technology companies undergo digital transformation and apply artificial intelligence to different aspects of their business. Responsibilities include data gathering and transformation, feature extraction and applying machine learning.Implemented a ML platform of targeted campaigning for e-commerce company. Building CLV, Churn Prevention and cross-sell models to identify the right customers, channel and… Show more Data Science consultant working closely with private equities to help traditional non-technology companies undergo digital transformation and apply artificial intelligence to different aspects of their business. Responsibilities include data gathering and transformation, feature extraction and applying machine learning.Implemented a ML platform of targeted campaigning for e-commerce company. Building CLV, Churn Prevention and cross-sell models to identify the right customers, channel and products to target during campaigns. Increasing revenue by 15%. Show less

Responsible for turning years of data into actionable data-driven insights and machine learning models for realtors and marketersPerformed segmentation on real-estate properties, discovering consumer profile associated customers with each real-estate segments, through using various clustering methods: hierarchical, fuzzy, two-step on both categorical and numerical data sourcesCombined and analyzed customer demographics, customer behavior and real-estate properties data to optimize… Show more Responsible for turning years of data into actionable data-driven insights and machine learning models for realtors and marketersPerformed segmentation on real-estate properties, discovering consumer profile associated customers with each real-estate segments, through using various clustering methods: hierarchical, fuzzy, two-step on both categorical and numerical data sourcesCombined and analyzed customer demographics, customer behavior and real-estate properties data to optimize matching criteriaIdentified, analyzed and validated statistically significant variables driving sales and lease of propertiesMethods included Factor Analysis, Correlation (Pearson, Kendall and Spearman) Analysis, and Anova Analysis Visualization & communication of discoveries to the marketers and decision makers across the organization using plots and slides Show less

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