Chief Technology Officer - AI Products

Chief Technology Officer

- Drive innovation with high-performance engineering teams in creating and productizing AI and advanced analytics modules, and promoting R&D culture.

- Experienced in making critical decisions that resulted in business growth, higher customer adoption.

- Designed a large scale document processing system for Automation. Designed Big-data predictive analytics solutions for Market Uplift modeling, Customer Churn, and conversational AI products with Natural Language Processing and statistical Text-mining.

- Led implementation of core Machine Learning algorithms: K-means clustering analysis, Random Forest, Neural Network, Time series, k-Nearest Neighbors (kNN), Logistic Regression, Decision Tree (Classification Tree / Regression Tree), Association Rule (Market Basket Analysis), risk-based credit scoring strategy, Strategic Tree, Behavior Scoring

- Led Data Engineering initiatives such as creating Feature Lake, Elasticsearch uploader service, generic Data Normalization (column-agnostic Data Transformation), Automated Feature Engineering using Python (PySpark)

- Created Constraint Optimization using Linear Programming to optimize (based on economic value) customer-channel-offer combination subject to banks constraints

- Created Structured Equation Modeling (SEM) (Python Semopy) to analyze direct & indirect effect of factors on customers propensity to buy through both Exploratory Factor Analysis (EFA) & Confirmatory Factor Analysis (CFA)

- Introduced the PLM (Product Lifecycle Management) process with 3 gate structure, created comprehensive Product Strategy, and established 6-monthly roadmap driven product releases (using G1, G2, G3 phase-gate process)

- Gathered Market Intelligence & Competitive Intelligence: Scanned markets & interacted with customers and prospects to create a detailed product/functional/technical requirements & use-case specs based on cross-geo inputs

- Created a prioritized roadmap based on cross-geo recommendations. Identified target markets, segmentation, product positioning, messaging, pricing, and technology & channel partnerships for quick monetization

- Partnered with stakeholders to create account specific strategies to close deals faster (using SPANCO selling process)

- Prepared RFP response and requirements discovery with customers pre and post contracts

- Generated new product ideas through primary and secondary market research, idea screening, market validation by interacting with customers, partners & industry analysts, win loss analysis & business case analysis