Debasish Das Email & Phone Number
@creditkarma.com
3 phones found area 312 and 408
LinkedIn matched
Who is Debasish Das? Overview
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Debasish Das is listed as Director II at Credit Karma, a company with 2019 employees, based in Fremont, California, United States. AeroLeads shows a work email signal at creditkarma.com, phone signal with area code 312, 408, and a matched LinkedIn profile for Debasish Das.
Debasish Das previously worked as Director at Credit Karma and Senior Engineering Manager at Credit Karma. Debasish Das holds Phd, Computer Engineering from Northwestern University.
Email format at Credit Karma
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AeroLeads found 1 current-domain work email signal for Debasish Das. Compare company email patterns before reaching out.
About Debasish Das
Build and lead data & machine learning engineering teamsForge partnership with Data Science & Analytics team to deliver business value Large scale machine & deep learningLarge scale timing driven analytical global placementSpecialties: Convex modeling, Automatic differentiation, Nonlinear and linear optimization, Quadratic Programming, Graph Algorithms, Network flow, Sub-gradient optimization, Linear regression, Logistic regression, Collaborative filtering, Kernel Methods, Predictive operators for OLAP datasets, Deep Learning, Recommendation System SimulationPortfolio: https://debasish83.github.ioOpen Source Contributions: Tensorflow, Apache Spark, ScalaNLP Breeze, Verizon Trapezium, Interior Point Method for JVM
Listed skills include Spark, Cassandra, Lucene, Akka, and 16 others.
Debasish Das's current company
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Debasish Das work experience
A career timeline built from the work history available for this profile.
Director
CurrentLeading Data, Feature Platform and Machine Learning Infrastructure teams. We are looking for talented Data and ML Engineers for building financial insights driven member experiences, improving financial recommendations and prevent assets fraud at Credit Karma. Email me at debasish.das@creditkarma.com if you're interested to join us and help propel.
Senior Engineering Manager
Leading Feature-Store and Machine Learning Infrastructure teams. We are looking for talented Data and ML Engineers to unify online and offline financial recommendations and prevent assets fraud at Credit Karma. Email me at debasish.das@creditkarma.com if you're interested.
Engineering Manager
Focused on Feature Store, Modeling workflows using Tensorflow+Scikit to power Recommendation System, Recommendation System Simulation and Campaign Optimization
Staff Ml Engineer
Python based Machine Learning Platform using Spark, Dataflow and Scikit/TensorflowApplications:1. User Engagement2. Recommendation3. Partner Approval Modeling
Distinguished Engineer
Research and development of large scale machine learning algorithms and data pipelines for Big Data Analytics group.Applications:1. Mobile Advertising2. Marketing Analytics3. Network Security4. IoT AnalyticsVerizon Insights is under public beta. Try it out to generate location, clickstream, demography and CRM based marketing insights and reach real.
Staff R&D Engineer
1. Lead for Talus Vortex global placement.2. Non-linear timing model generation from post-route timing data for timing driven placement and optimization in IC Compiler.3. Benchmark of network flow algorithms.
Member Of Consulting Staff
Developer for Talus Vortex global placement.
Graduate Intern
Graduate Student
Graduate Intern
Graduate Intern
Graduate Intern
Graduate Intern
Colleagues at Credit Karma
Other employees you can reach at creditkarma.com. View company contacts for 2019 employees →
Laura Smith
Colleague at Credit Karma
San Francisco Bay Area, United States, United States
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IK
Iraklis Koutrouvelis
Colleague at Credit Karma
Berkeley, California, United States, United States
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SL
Simon Legouge
Colleague at Credit Karma
Frankfurt, Hesse, Germany, Germany
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EW
Emily Wilson Childers
Colleague at Credit Karma
San Francisco Bay Area, United States, United States
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NK
Natonia K.
Colleague at Credit Karma
Charlotte, North Carolina, United States, United States
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RW
Ray Wang
Colleague at Credit Karma
Charlotte, North Carolina, United States, United States
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MG
Michaela Green, Mpa
Colleague at Credit Karma
Charlotte, North Carolina, United States, United States
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DI
David Illing
Colleague at Credit Karma
Charlotte Metro, United States, United States
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PW
Patrick W.
Colleague at Credit Karma
San Francisco, California, United States, United States
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PP
Praksha Patel
Colleague at Credit Karma
London, England, United Kingdom, United Kingdom
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Debasish Das education
Phd, Computer Engineering
Other, Certificate Of Business Excellence, Executive Education
Btech, Computer Science And Engg
Frequently asked questions about Debasish Das
Quick answers generated from the profile data available on this page.
What company does Debasish Das work for?
Debasish Das works for Credit Karma.
What is Debasish Das's role at Credit Karma?
Debasish Das is listed as Director II at Credit Karma.
What is Debasish Das's email address?
AeroLeads has found 1 work email signal at @creditkarma.com for Debasish Das at Credit Karma.
What is Debasish Das's phone number?
AeroLeads has found 3 phone signal(s) with area code 312, 408 for Debasish Das at Credit Karma.
Where is Debasish Das based?
Debasish Das is based in Fremont, California, United States while working with Credit Karma.
What companies has Debasish Das worked for?
Debasish Das has worked for Credit Karma, Verizon, Synopsys, Magma Design Automation, and Mentor Graphics.
Who are Debasish Das's colleagues at Credit Karma?
Debasish Das's colleagues at Credit Karma include Laura Smith, Iraklis Koutrouvelis, Simon Legouge, Emily Wilson Childers, and Natonia K..
How can I contact Debasish Das?
You can use AeroLeads to view verified contact signals for Debasish Das at Credit Karma, including work email, phone, and LinkedIn data when available.
What schools did Debasish Das attend?
Debasish Das holds Phd, Computer Engineering from Northwestern University.
What skills is Debasish Das known for?
Debasish Das is listed with skills including Spark, Cassandra, Lucene, Akka, Yarn, Hdfs, Distributed Systems, and Convex Optimization.
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