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Debajyoti Debnath Email & Phone Number

Location: Livonia, Michigan, United States 8 work roles 2 schools
1 work email found @nrel.gov LinkedIn matched
4 data sources Profile completeness 100%

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Role
Research Associate
Location
Livonia, Michigan, United States
Company size

Who is Debajyoti Debnath? Overview

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Quick answer

Debajyoti Debnath is listed as Research Associate at The Forum for Collaborative Research, a company with 16 employees, based in Livonia, Michigan, United States. AeroLeads shows a work email signal at nrel.gov and a matched LinkedIn profile for Debajyoti Debnath.

Debajyoti Debnath previously worked as Machine Learning Engineer at Siemens and Student Scrum Master at The Data Mine - Purdue University. Debajyoti Debnath holds Master Of Science, Chemical Engineering (Computational Interdisciplinary Graduate Program) from Purdue University.

Company email context

Email format at The Forum for Collaborative Research

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{first}.{last}@nrel.gov
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AeroLeads found 1 current-domain work email signal for Debajyoti Debnath. Compare company email patterns before reaching out.

Profile bio

About Debajyoti Debnath

I love working on interdisciplinary projects, especially using C, C++, Python or Rust! To check out some of my projects, please visit my GitHub page: https://github.com/debajyotid2.

Listed skills include Computational Fluid Dynamics, Openfoam, Salome, Numerical Simulation, and 4 others.

Current workplace

Debajyoti Debnath's current company

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The Forum for Collaborative Research
The Forum For Collaborative Research
Research Associate
Livonia, MI, US
Employees
16
AeroLeads page
8 roles

Debajyoti Debnath work experience

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

Machine Learning Engineer

Current

Munich, DE

  • Developing machine learning applications in multi-sensor perception and sensor data fusion for delivering solutions to the battery industry.
  • Conducting independent research to identify technology gaps and contribute to closing them through prototype implementations.
  • Collaborating with experts across all lines of business to solve complex tasks in industrial applications of advanced machine learning.
Nov 2023 - Present

Student Scrum Master

West Lafayette, Indiana, US

  • Led a team of 12 graduate and undergraduate students across two universities (Purdue and Arizona State University) on a data science project in collaboration with a biotechnology startup.
  • Performed uncertainty analysis in Python using Monte Carlo simulations on a classifier developed to predict probability of Alzheimer’s disease occurrence from cell-free mRNA assays.
  • Used GitHub projects to track team workflows and organized sprint activities to ensure timely delivery of project goals.
Jan 2023 - May 2023

Data Analytics Intern

Golden, CO, US

  • Developed tool in Python to perform variance-based sensitivity analysis on the Lithium Ion Battery Resource Assessment (LIBRA) model by running systems dynamics simulations in parallel.
  • Modeled battery refurbishment in electric vehicles using systems dynamics tools and estimated 5-10% reduction in demand of mined cobalt, lithium and nickel in the United States due to second-life batteries.
  • Worked with a team of transportation research scientists to simulate scenarios in LIBRA to understand the impacts of changes in electric vehicle sales and electric vehicle battery chemistry mix on the lithium ion.
  • Developed a pipeline using Matplotlib and Plotly Dash to automate generation of visualizations from thesimulated results and presented to the research team.
Jun 2022 - Dec 2022

Student Researcher

West Lafayette, Indiana, US

  • Collaborated with a consumer financial technology company to investigate market penetration across the United States and predict customer spend probability using decision trees in XGBoost.
  • Visualized geospatial customer data in choropleth maps using Plotly in Python.
Jan 2022 - May 2022

Project Assistant

Guwahati, Assam, IN

  • Performed computational fluid dynamics simulations of pulsatile Taylor flow in a microchannel in ANSYS Fluent.
  • Developed a custom user-defined function in C to implement periodic boundary conditions for velocity and temperature.
  • Quantified effect of frequency of pulsations on heat transfer and hydrodynamics of pulsatile Taylor flow
Sep 2019 - Jul 2021

Production Engineer

Hyderabad, TS, IN

Led a team of 10 production personnel to ensure on-­time production and delivery for 10 commercial and 8+ trial products.

Jul 2017 - Aug 2019

Research Intern

Guwahati, Assam, IN

Modeled a casting mould and simulated flow of steel in a continuous casting process to diagnose casting defects, using open­-source tools.

May 2015 - Jul 2015
Team & coworkers

Colleagues at The Forum for Collaborative Research

Other employees you can reach at forumresearch.org. View company contacts for 16 employees →

2 education records

Debajyoti Debnath education

Master Of Science, Chemical Engineering (Computational Interdisciplinary Graduate Program)

Purdue University

Bachelor’S Degree, Chemical Engineering

National Institute Of Technology Karnataka
FAQ

Frequently asked questions about Debajyoti Debnath

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

What company does Debajyoti Debnath work for?

Debajyoti Debnath works for The Forum for Collaborative Research.

What is Debajyoti Debnath's role at The Forum for Collaborative Research?

Debajyoti Debnath is listed as Research Associate at The Forum for Collaborative Research.

What is Debajyoti Debnath's email address?

AeroLeads has found 1 work email signal at @nrel.gov for Debajyoti Debnath at The Forum for Collaborative Research.

Where is Debajyoti Debnath based?

Debajyoti Debnath is based in Livonia, Michigan, United States while working with The Forum for Collaborative Research.

What companies has Debajyoti Debnath worked for?

Debajyoti Debnath has worked for The Forum For Collaborative Research, Siemens, The Data Mine - Purdue University, National Renewable Energy Laboratory, and Indian Institute Of Technology, Guwahati.

Who are Debajyoti Debnath's colleagues at The Forum for Collaborative Research?

Debajyoti Debnath's colleagues at The Forum for Collaborative Research include Edyth Dwyer, Logan Donaldson, Mph, Roma Ranade, Frédérique Sauvé, and Zachary Rooney.

How can I contact Debajyoti Debnath?

You can use AeroLeads to view verified contact signals for Debajyoti Debnath at The Forum for Collaborative Research, including work email, phone, and LinkedIn data when available.

What schools did Debajyoti Debnath attend?

Debajyoti Debnath holds Master Of Science, Chemical Engineering (Computational Interdisciplinary Graduate Program) from Purdue University.

What skills is Debajyoti Debnath known for?

Debajyoti Debnath is listed with skills including Computational Fluid Dynamics, Openfoam, Salome, Numerical Simulation, Matlab, Blender 3D, Microsoft Office, and C.

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