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Debapriya B. Email & Phone Number

Lead Data Scientist at Mastercard
Location: Greater Seattle Area, United States, United States 10 work roles 3 schools
1 work email found @mastercard.com LinkedIn matched
4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email d****@mastercard.com
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Current company
Role
Lead Data Scientist
Location
Greater Seattle Area, United States, United States
Company size

Who is Debapriya B.? Overview

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Quick answer

Debapriya B. is listed as Lead Data Scientist at Mastercard, a company with 42669 employees, based in Greater Seattle Area, United States, United States. AeroLeads shows a work email signal at mastercard.com and a matched LinkedIn profile for Debapriya B..

Debapriya B. previously worked as Senior Data Scientist at Mastercard and Graduate Research Assistant at The University Of Texas At Arlington. Debapriya B. holds Master Of Science - Ms, Computer Science from The University Of Texas At Arlington.

Company email context

Email format at Mastercard

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*@mastercard.com
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AeroLeads found 1 current-domain work email signal for Debapriya B.. Compare company email patterns before reaching out.

Profile bio

About Debapriya B.

My Technology Skillsets• Programming Languages: Python • Java • C • MATLAB • Javascript• Machine Learning & NLP: Deep Learning (CNN, RNN, LSTM) • cTAKES • OpenNLP • UIMA • Python Library (Numpy, PyTorch, Keras, Scikit-learn, Pandas, NLTK, TensorFlow) • Word2Vec • GloVe• Big Data and Cloud Computing: Hadoop • Map-Reduce • Spark • Hive • Pig • AWS (EC2, Comprehend, SageMaker)• Others: Agile methodology • JUnit • MySQL • UNIX • Scrum • HTML • CSSI am currently pursuing PhD in Computer Science at University of Texas at Arlington.Before joining MS, I was an Application Developer and Researcher in NLP, ML and Big Data for 5 years where my roles were- - Big Data Dev role in Walmart where I implemented ML technologies like Hadoop, Deep learning etc.- Automation Dev Engineer in Walmart where I worked to automate backend services such as Point of Sales (POS) and Inventory Management System (IMS).- NLP and AI Developer in Accenture Labs (Accenture’s R&D division) where I researched on Text analysis and Semantics and my research output helped to automate review of pharma reports for which I got patent.

Listed skills include Core Java, Amazon Web Services, Ctakes, Release Management, and 43 others.

Current workplace

Debapriya B.'s current company

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Mastercard
Mastercard
Lead Data Scientist
Kirkland, WA, US
Website
Employees
42669
AeroLeads page
10 roles

Debapriya B. work experience

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

Senior Data Scientist

Current

Purchase, NY, US

- AI and NLP at Mastercard Open Banking

Dec 2021 - Present

Graduate Research Assistant

Arlington, TX, US

Researched on multivariate sparse data recovery and designed a semi-supervised learning algorithm to bridge the gap between labeled information and unfamiliar observations and formulated a learning task that uses both labeled and unlabeled data.

Aug 2019 - May 2020

Data Scientist Intern

Minneapolis, MN, US

Interned in the Target.com Search team. Developed NLP based DL model to improve search result relevancies of Target.com's customer search queries.

Jun 2019 - Aug 2019

Data Engineer

Bentonville, Arkansas, US

Worked with the Walmart team on backend technologies supporting POS and IMS to help automate the workstreams to reduce manual effort

Sep 2015 - Apr 2017

Nlp Developer

Dublin 2, IE

  • Researcher in the Intelligent Text Analysis & Processing team- NLP algorithm development, Semantic analysis.
  • Developed an NLP based automation tool to analyze a large amount of pharmacovigilance data. This tool reduced the average time needed for drug trial report analysis by 90% through automated text data inference.
  • Integrated ontology framework module, search framework modules, and a rule engine with the NLP pipeline to create temporal models.
  • Presented the functional benefits of this NLP tool to several pharma clients and internal stakeholders and convinced several technology owners in ATL to sponsor and implement this technology in their platform.
Sep 2012 - Aug 2015

Research Intern

IN

Developed a tool to cluster different types of text data by implementing K-means algorithm using MapReduce.

Jan 2012 - Mar 2012
Team & coworkers

Colleagues at Mastercard

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3 education records

Debapriya B. education

Master Of Science - Ms, Computer Science

The University Of Texas At Arlington

Doctor Of Philosophy - Phd, Computer Science

The University Of Texas At Arlington

Bachelor Of Science - Bs, Computer Science

West Bengal University Of Technology, Kolkata
FAQ

Frequently asked questions about Debapriya B.

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

What company does Debapriya B. work for?

Debapriya B. works for Mastercard.

What is Debapriya B.'s role at Mastercard?

Debapriya B. is listed as Lead Data Scientist at Mastercard.

What is Debapriya B.'s email address?

AeroLeads has found 1 work email signal at @mastercard.com for Debapriya B. at Mastercard.

Where is Debapriya B. based?

Debapriya B. is based in Greater Seattle Area, United States, United States while working with Mastercard.

What companies has Debapriya B. worked for?

Debapriya B. has worked for Mastercard, The University Of Texas At Arlington, Target, Walmart Global Tech, and Accenture Research.

Who are Debapriya B.'s colleagues at Mastercard?

Debapriya B.'s colleagues at Mastercard include Harsh Goel, Aleksandra Czuba, Bhushan Sune, Siddharth Vadgama, and Kabir Mistry.

How can I contact Debapriya B.?

You can use AeroLeads to view verified contact signals for Debapriya B. at Mastercard, including work email, phone, and LinkedIn data when available.

What schools did Debapriya B. attend?

Debapriya B. holds Master Of Science - Ms, Computer Science from The University Of Texas At Arlington.

What skills is Debapriya B. known for?

Debapriya B. is listed with skills including Core Java, Amazon Web Services, Ctakes, Release Management, Data Science, Data Engineering, Apache Pig, and Mongodb.

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