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Samrat Halder Email & Phone Number

GenAI @Expedia | Columbia | IITKGP at Expedia Group
Location: Seattle, Washington, United States 18 work roles 2 schools
1 work email found @expedia.com LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

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Work email s****@expedia.com
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Current company
Role
GenAI @Expedia | Columbia | IITKGP
Location
Seattle, Washington, United States

Who is Samrat Halder? Overview

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Quick answer

Samrat Halder is listed as GenAI @Expedia | Columbia | IITKGP at Expedia Group, based in Seattle, Washington, United States. AeroLeads shows a work email signal at expedia.com and a matched LinkedIn profile for Samrat Halder.

Samrat Halder previously worked as Machine Learning Scientist III at Expedia Group and Machine Learning Scientist III at Expedia Group. Samrat Halder holds Master Of Science - Ms, Data Science from Columbia University.

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Email format at Expedia Group

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{first}.{last}@expedia.com
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Profile bio

About Samrat Halder

Samrat is currently working with the GenAI group at Expedia focusing on the applications of GenAI in Recs and traveler content. Previously, he had worked in Trust & Safety, Fraud detection for 3 years. He has also worked in algorithmic trading for 2 years and marketing data science during his internship with Amazon. Samrat has gained over 6 years of experience working in data science across multiple business domains. He enjoys generating tangible business value by leveraging AI/ML. Outside work, he loves spending time with his dog, Luna!• Key Skills: NLP, GenAI, LLMs, Fraud & Risk, Trust & Safety, Marketing Science

Listed skills include Matlab, C, R, Python, and 10 others.

Current workplace

Samrat Halder's current company

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Expedia Group
Expedia Group
GenAI @Expedia | Columbia | IITKGP
AeroLeads page
18 roles

Samrat Halder work experience

A career timeline built from the work history available for this profile.

Machine Learning Scientist Iii

Current

Seattle, WA, US

Traveler Voice and Content (LLMs, GenAI in Recs)

Jun 2024 - Present

Machine Learning Scientist Iii

Seattle, WA, US

Marketplace Trust & Safety, Squad Lead

Oct 2022 - Jun 2024

Machine Learning Scientist Ii

Seattle, WA, US

  • Fraud & Risk
  • Booking
  • Supply
Feb 2021 - Sep 2022

Nlp Capstone

New York, NY, US

We find in our multi-tasking neural model for learning psycholinguistic aspect of language, SRLs play a big part; surprisingly, random embeddings with tuning do as good as GloVe, and more data do not necessarily yield better results. We publish our new SotA results on thematic fit tasks at BlackBoxNLP (EMNLP 2022).

Sep 2020 - Dec 2020

Data Science Fall Intern

Newark, NJ, US

Built a customer targeting model combining multi-arm bandit and xgboost which resulted in 0.8% improvement in CTR for email campaign of Audible plus and premium

Sep 2020 - Dec 2020

Data Science Summer Intern

Newark, NJ, US

  • Did research on data science models used by practitioners for marketing campaigns to optimize customer targeting, and acquisition leveraging gradient boosting trees, lift model, contextual bandit
  • Tech-stack used include AWS (Sagemaker, Step Function, s3), Alation, PySpark, SQL
Jun 2020 - Aug 2020

Department Research Assistant

New York, NY, US

Worked with Dr. Simona Abis on multiple projects that involved applied ML, and NLP to understand and quantify the impact of Artificial Intelligence in the changing economics of knowledge production

Oct 2019 - Dec 2020

Covid-19 H.E.L.P Project

London, -, GB

  • Collaborated on an open-source data science project to analyze various virus and economic models and come up with possible country-specific lockdown exit strategies post COVID-19 pandemic that minimizes the impact of.
  • Research Area: Disease models, multi-objective optimization
May 2020 - Jun 2020

Graduate Teaching Assistant

New York, NY, US

Led weekly programming classes, held recitation sessions, and graded assignments for a graduate-level Python programming course

Sep 2019 - Dec 2019

Lead Data Scientist

London, Middlesex, GB

  • Supervised a team of analysts based in New Delhi, IN
  • Spearheaded technical and analytic support to 2 clients in India for end-to-end integration of API, automated order execution, and live fund management worth USD 1M
Feb 2019 - Jul 2019

Data Scientist

London, Middlesex, GB

  • Advisor and CEO: Professor Gautam Mitra (https://en.m.wikipedia.org/wiki/Gautam_Mitra)
  • Worked on multiple R&D projects which include machine learning, large-scale portfolio analytics which improved volatility and return on our index funds
  • Managed a summer intern for enhancing trade signals by including news sentiment-based signals
Jan 2018 - Jan 2019

Stochastic Optimization Bootcamp

Ucl

London, Greater London, GB

Workshop on stochastic optimization and integer programing organized by OptiRisk Systems and AMPLDev

Mar 2018 - Mar 2018

Analyst - Quantitative Research

Mumbai, Maharashtra, IN

  • Developed POCs on AWS (Amazon Web Services- Kinesis, Lambda, SQS, Cloudwatch, Dynamo DB), End to end automation of several tasks, Data cleaning
  • Research Area: Volatility smile, Option pricing, Deep learning
Jul 2017 - Dec 2017

Data Science Intern

Berlin, DE

  • Built a model using LDA (topic modeling) and sentiment analysis with Tweets on interest rates to get Hawkish- Dovish sentiment about the market
  • Built a Structural Vector Autoregression model to estimate the impact of market sentiment on asset prices
  • Developed a Shiny Dashboard to monitor near real-time sentiment on political parties from rss feeds
May 2017 - Jun 2017

Investment Research Conference

  • Selected among the top 6 investment teams among 24 teams in the final round
  • Presented our valuation of Reliance Industries based on dividend discount and price multiple methods at the Universitas of Indonesia, Jakarta
Feb 2017 - Feb 2017

Visiting Student Research Program Fellow

  • Advisor: Dr. Shravan Hanasoge
  • Published paper: Finite-frequency Sensitivity Kernels in Spherical Geometry for Time–Distance Helioseismology
  • Research Area: Computational astrophysics & astronomy, Numerical Methods, Parallel Programming, Solar Kernels, Time-Distance Helioseismology, Boundary value problems, PDE's
May 2014 - Aug 2015

Summer Trainee

Mumbai, Maharashtra, IN

National Initiative on Undergraduate Science (NIUS) Camp - Selected among 45 freshmen students in Science and Engineering across the country for a summer camp on advanced scientific computing

Jun 2013 - Jun 2013
2 education records

Samrat Halder education

Master Of Science - Ms, Data Science

Columbia University

Bachelor Of Science (Honours) And Master Of Science, Physics, Mathematics, Financial Engineering

Indian Institute Of Technology, Kharagpur
FAQ

Frequently asked questions about Samrat Halder

Quick answers generated from the profile data available on this page.

What company does Samrat Halder work for?

Samrat Halder works for Expedia Group.

What is Samrat Halder's role at Expedia Group?

Samrat Halder is listed as GenAI @Expedia | Columbia | IITKGP at Expedia Group.

What is Samrat Halder's email address?

AeroLeads has found 1 work email signal at @expedia.com for Samrat Halder at Expedia Group.

Where is Samrat Halder based?

Samrat Halder is based in Seattle, Washington, United States while working with Expedia Group.

What companies has Samrat Halder worked for?

Samrat Halder has worked for Expedia Group, Bloomberg Lp, Audible, Columbia Business School, and Auquan.

How can I contact Samrat Halder?

You can use AeroLeads to view verified contact signals for Samrat Halder at Expedia Group, including work email, phone, and LinkedIn data when available.

What schools did Samrat Halder attend?

Samrat Halder holds Master Of Science - Ms, Data Science from Columbia University.

What skills is Samrat Halder known for?

Samrat Halder is listed with skills including Matlab, C, R, Python, Microsoft Excel, Sql, Natural Language Processing, and Machine Learning.

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