Tanumoy Ghosh Email & Phone Number
Who is Tanumoy Ghosh? Overview
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Tanumoy Ghosh is listed as Head of Generative AI at Hyatt, a company with 51 employees, based in Beaverton, Oregon, United States. AeroLeads shows a matched LinkedIn profile for Tanumoy Ghosh.
Tanumoy Ghosh previously worked as Head of Machine Learning and AI at Niche and Senior Director of ML, Consumer Commerce Data Science at Nike. Tanumoy Ghosh holds Postgraduate Degree, Applied Statistics And Statistical Software from University Of Mumbai.
Email format at Hyatt
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About Tanumoy Ghosh
Applied AIML leader with more than 16 years of experience, passionate about building immersive, interactive and personalized consumer experiences in search, product recommendations and webpage personalization by leveraging best-in-class ML frameworks in Natural Language Processing, Sequential Learning and Computer Vision. Love building teams and forging strong cross-functional partnerships to drive measurable impact across the digital commerce ecosystems.Ranked 17th out of 1452 participants on the leaderboard for the MNIST Digit Recognizer Challenge on Kaggle in April 2017. Used Ensemble Averaging Deep Learning Neural Networks that generated an accuracy score of 0.99929 on the test dataset.
Tanumoy Ghosh's current company
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Tanumoy Ghosh work experience
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Head Of Machine Learning And Ai
CurrentGen AI, Content Recommendations, Search and Information Retrieval
Senior Director Of Ml, Consumer Commerce Data Science
- Leading a full-stack ML team focusing on E2E development and MLOps lifecycle for LLMs and CV algos that power consumer experiences.
- Search Relevance and Ranking
- ML Algorithmic Merchandising
- Visual and Conversational Search
- Nike By You Recommender
- Innovation Direct
Director, Data Science, Dsa
Leading the Data Science team that drives the ML algorithms to measure the adoption and growth of Salesforce's products among its customers.
Director, Data Science And Advanced Analytics
Leveraging AI-ML algorithms and advanced statistical modeling to drive personalized product and customer experiences Deep Learning Frameworks / LSTMs and CNNs to predict sequential product buys and forecast sales for Rodan & FIelds's product line. Designing and implementation of build - test - deploy pipeline for all of our ML algorithms / statistical.
Director, Customer Data Science
Leading the Customer Data Science Team of 9 data scientists focused on developing the predictive intelligence behind Customer 360 platform through machine learning algorithms and advanced statistical models. Tech Stack: Azure, Domino DataLabs, R, Python, SparkML, Hadoop
Senior Manager, Platform Analytics And Customer Data Science, Customer And Strategy
- Leading a team of 7 data-scientists and responsible for conceptualizing, implementing and testing advanced statistical models / machine learning algorithms in the customer data science space. Working towards building.
- Catalog Response - Deep Learning ANNs, Adaptive Boosting, XGBoost, SVM
- Discount Sensitivity - Deep Learning, Adaptive Boosting, SVM, GBM
- Propensity Models for credit card spend - Logit Models
- Category Preferences - AdaRank, LambdaMart, RankNet, Coordinate Ascent through RankLibSoftware: R, Python, Spark, SAS, Hive/Hadoop, OracleLibraries: Tensorflow, H2O, MXNet, Caffe, Torch, LeNet, Darch, MLlib 2.1.
Senior Manager, Customer Data Science, Gaplabs
- Leading a team of 5 senior data-scientists / data scientists responsible for driving advanced analytics covering different aspects of customer behaviour.
- Product Division and Category Preferences
- Response Propensity - Direct Mail and Email Campaigns
- Lifetime Revenue Model
- Discount Sensitivity
- Redemption Behaviour
Senior Manager, Customer Data Science
- Driving advanced analytics related to different aspects of customer behaviour primarily in the retail sector.
- Response Propensity
- Revenue Forecasts
- Redemption Behaviour
- Attrition Risk
- Propensity to Return
Analyst In Knowledge Services - Analytics Team
- Was responsible for implementing statistical models / machine learning algorithms to understand and predict customer behaviour towards different products like annuities, pensions, bonds etc.
- Propensity Modeling
- Customer Insights
- Campaign Insights
- Process AutomationModels / Algorithms: Fixed Effects and Mixed Effects Logistic Regression, Support Vector Machines
Business Analyst
- Focus was on building Statistical Models around survey and retail transaction data for leading Market Research Agencies and Retailers in the US. I have worked on Survey Quality Control, Multivariate Methods, Predictive.
- Data Mining Methods
- Survey Quality Control
- Multivariate Methods
- Predictive Modeling
- Customer Segmentation
Colleagues at Hyatt
Other employees you can reach at niche.com. View company contacts for 51 employees →
Drew Miller, M.B.A.
Colleague at Hyatt
Charlotte Metro, United States, United States
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JD
John Doey
Colleague at Hyatt
Pittsburgh, Pennsylvania, United States, United States
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EK
Eddie Kingston
Colleague at Hyatt
Corvallis, Oregon, United States, United States
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BM
Brendan Murray
Colleague at Hyatt
Cleveland, Ohio, United States, United States
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KR
Kavya Ramanavar
Colleague at Hyatt
Cary, North Carolina, United States, United States
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KR
Kavya Ramanavar
Colleague at Hyatt
Cary, North Carolina, United States, United States
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KS
Karen Salem
Colleague at Hyatt
Mount Pleasant, South Carolina, United States, United States
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JM
Justin Mayfield
Colleague at Hyatt
Cincinnati Metropolitan Area, United States
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DC
Debbie Campos
Colleague at Hyatt
Romeoville, Illinois, United States, United States
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MR
Michael Romay
Colleague at Hyatt
Portland, Oregon, United States, United States
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Tanumoy Ghosh education
Postgraduate Degree, Applied Statistics And Statistical Software
Bachelor'S Degree, Majors - Statistics, Minors - Economics And Mathematics
Frequently asked questions about Tanumoy Ghosh
Quick answers generated from the profile data available on this page.
What company does Tanumoy Ghosh work for?
Tanumoy Ghosh works for Hyatt.
What is Tanumoy Ghosh's role at Hyatt?
Tanumoy Ghosh is listed as Head of Generative AI at Hyatt.
Where is Tanumoy Ghosh based?
Tanumoy Ghosh is based in Beaverton, Oregon, United States while working with Hyatt.
What companies has Tanumoy Ghosh worked for?
Tanumoy Ghosh has worked for Hyatt, Niche, Nike, Salesforce, and Rodan + Fields.
Who are Tanumoy Ghosh's colleagues at Hyatt?
Tanumoy Ghosh's colleagues at Hyatt include Drew Miller, M.B.A., John Doey, Eddie Kingston, Brendan Murray, and Kavya Ramanavar.
How can I contact Tanumoy Ghosh?
You can use AeroLeads to view verified contact signals for Tanumoy Ghosh at Hyatt, including work email, phone, and LinkedIn data when available.
What schools did Tanumoy Ghosh attend?
Tanumoy Ghosh holds Postgraduate Degree, Applied Statistics And Statistical Software from University Of Mumbai.
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