Vivek Kalyanarangan

Initiatives included Hyperpersonalization Engine, SMS Mining, Face Recognition and liveness check Video KYC, and Form Analytics. Solutions involved leveraging demographic, behavioral, creative, and response features to run deep learning based embedding models for generating marketing campaigns. Expertise includes NLP on SMS data for risk models, Face Recognition using Siamese network, and leveraging clickstream data via AWS Lambda.

Mentored and trained corporates on data science and machine learning. Developed Udemy courses on deploying ML applications using Docker containers. Expertise covers Deep Learning, Big Data, and Apache Spark, contributing to upskilling over 10,000 students.

Developed solutions for email automation, merchant name cleaning using NLP, and lead client identification. Implemented Face Recognition and utilized graph databases (Neo4j) for centrality algorithms. Key tools included TensorFlow, Neo4j, Elasticsearch, and Scikit-learn, resulting in 30% workload automation in the contact center.

Consulted on data science initiatives for Andhra Pradesh Government (APMSIDC), including Smart Routing and Crash Prediction. Solutions involved predicting Dengue incidence, ticket routing using semantic comparison, and using classifiers for crash analysis. Tools utilized included Holt Winters, ARIMA Forecasting Model, K-means clustering, NLP (TF-IDF), and R Shiny.

Worked on data integration and marketing initiatives for MGM Resorts International. Developed solutions for Trigger Based Marketing (TBM) and identifying cross-sell/upsell opportunities. Utilized Java and TIBCO Suite products, leading to increased turnout and customer retention across major hotels.