Debayan Bose Email & Phone Number

Bengaluru, Ka, In

Bangalore, Karnataka, In

Some of the key initiatives include - a. Dynamic Pricing Engine for Inter-city bus servicesb. Personalization through user behaviorc. Dynamic Pricing Engine for outstation cab servicesd. Demand Forecasting Enginee. Payment fraud detectionf. Bus listing fraud detectiong. Bus cancellation predictionh. ETA and delay predictioni. Customer Analytics - CLTV, Churn Propensity, Repeat Visit Propensity etc.We are leveraging the power of neural embedding and deep reinforcement learning to develop first-of-its-kind pricing engine for ground transportation services.

Chicago, Il, Us

Working on various NLP related problems (QuestionAnswering/ Summarization/ Sequence Labelling etc.) in Insurance Domain to digitise claims processing system using DL models like Bert, Distilbert, BART, T5, Longformer etc. Setting up a Data Annotation service using active learning setup through ML backend.Nurturing software development culture in ML projects through TDD, unit testing, code coverages etc. Deploying CD4ML to alleviate model management complexities in production pipeline.Developed a dynamic discounting engine of perishable products for Grocery Retail using Reinforcement Learning

Santa Clara, Ca, Us

Leading a team of Data Scientists, Engineers and Analysts to design solutions using ML and DL algorithms. Some of the problems include Price Recommendation, Demand Forecasting, Conjoint Model development, Trade Promo Optimization, IoT projects etc. for Retail and CPG customers. Also responsible for deploying these models in production environment.Deploy machine learning models using AWS Batch and AWS Lambda.

Gurgaon, Haryana, In

Developed algorithmic revenue management solution suite i.e. pricing engine, demand forecasting, revenue forecasting etc. Other solutions include lot of competitive intelligence and alerts using automation.Deploy Machine Learning models in production environment using Docker and Ngnix.

Bangalore, Karnataka, In

Led a team of Data Scientists to design and develop solutions across different business domain. Problems in Retail and CPG - Customer Analytics which include segmentation, propensity models, CLTV, attrition, communication optimization etc. Store Segmentation, Demand Forecasting, Discounting Strategies, TPM, Cross sell/Up-sell etc.Problems in Travel and Hospitality - Personalization for Freighters, No Show Propensity, Demand Foreasting, Fuel Tankering, B2B customer segmentation, Customer Analytics, Personalized Marketing etc.Problems in Manufacturing - IoT projects, Optimal Parameter Control for different manufacturing equipment sensors.

Melbourne, Victoria, Au

I was responsible for building Rating models for different portfolios like Credit Card, Mortgage etc. This involves Data Processing, Developing and Validating PD, EAD, LGD models and tactical remediation, if required.

Houston, Texas, Us

Natural Language Processing and Information Retrieval, Advanced Analytics and Optimization using Machine Learning, Evolutionary Algorithm

Houston, Texas, Us

working in Strategic Projects Team driving high impact projects across global analytics using advanced analytical methods. Worked in the area of Market Mix Modeling, Sales Force Sizing and Allocation, Customer Segmentation, Simulation, Natural Language Processing..