Jaydutt Kulkarni Email & Phone Number
@tatatechnologies.com
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Who is Jaydutt Kulkarni? Overview
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Jaydutt Kulkarni is listed as Program Manager | Carnegie Mellon alumnus | Formerly Bill of Material Lead | Fantasy Premier League podcast host at R&D Altanova, a with 213 employees, based in Pittsburgh, Pennsylvania, United States. AeroLeads shows a work email signal at tatatechnologies.com and a matched LinkedIn profile for Jaydutt Kulkarni.
Jaydutt Kulkarni previously worked as Program Manager at R&D Altanova and Research Assistant at Carnegie Mellon University. Jaydutt Kulkarni holds Master Of Science - Ms, Mechanical Engineering - Research, 4.0 from Carnegie Mellon University.
Email format at R&D Altanova
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AeroLeads found 1 current-domain work email signal for Jaydutt Kulkarni. Compare company email patterns before reaching out.
About Jaydutt Kulkarni
Strong research professional with a Master of Science - MS focused in Mechanical Engineering - Research from Carnegie Mellon University. Current research focused on leveraging deep learning for fluid flow prediction. Product Data Management Consultant (with varying degrees of responsibility) for over 4 years at Tata Technologies Limited (Pune, India). Included a year-and-a-half stint onsite at the McLaren Technology Centre in Woking, UK. Developed excellent interpersonal and communication skills to interact with diverse individuals in a multi-national, multi-ethnic work environment. Included communicating issues and delivering tasks while in the offshore team, and later managing the offshore team to get work done from onsite. Delivered 2 vehicle programs from a Bill of Materials perspective from Gateway Zero, all the way till Series Production. Passionate about data analytics.
Listed skills include Tabla, Matlab, Powerpoint, Autocad Mechanical, and 12 others.
Jaydutt Kulkarni's current company
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Jaydutt Kulkarni work experience
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Research Assistant
• Developed data model using Physics Informed NN to solve 1D advection-diffusion and 2D steady state equations with a goal of publishing research article and building a generalizable solver for Navier-Stokes (including a Summer 2022 Fellowship).• Explored techniques within Deep Learning to build feed-forward NN which is 100 times more accurate than some traditional numerical methods and is also invariant to grid size, grid type, or flow direction unlike those numerical methods.
Research Fellowship
Grading Assistant
Assisted Prof. McGaughey with feedback and grading as Grading assistant in “Numerical Methods for Engineering” course.
Content Writer
Under the pseudonym: FPL Schadenfreudist (@Schadenfreud1st). Periodic articles about utilising my proprietary Expected Value Data Model to make Fantasy Football decisions.
Pdm Consultant
• Co-ordinated between teams in Woking and Pune, and consolidated Bill of Materials (BOM) Lead role for McLaren GT.• Conducted Knowledge Transfer sessions in a team of 25 to support multiple New Product Introduction (NPI) gateways by demonstrating domain knowledge of Product Data Management, Change Management, Data Analysis, and Supply Chain.• Developed and maintained reports in SAP Business Intelligence (BI) as ‘single source of truth’ to optimize data distribution.
Bom Lead
• Client-side deputation at the McLaren Technology Centre in Woking, for 18 months.• BOM Lead for two vehicle programs: McLaren 720S Spider and McLaren GT; and for model year 2020. • • Led two vehicle programs from concept phase to series production: 720S Spider and GT, while deputed at McLaren Technology Centre; Worked with cross functional teams to resolve issues in engineering, production, and supply chain.• Generated 19 Continuous Improvement requests and provided exhaustive consultation to improve system processes.• Trained 20 engineers in SAP PLM, working on the Tata Engineering Support Office project in Warwick, U.K.• Oversaw automation team to streamline data checks within change management process, evaluate data efficiently using back-end data tables, and requests from marketing and after-sales, resulting in reduction of ~5000 work-hours in a year.
Pdm Co-Ordinator
• SAP PLM module certification through SAP SuccessFactors, facilitated by McLaren. It replaced the in-house tool Maxim, also learnt on the job. Proficiency in both tools achieved within 4 months of joining the project.• Led a four-person team to devise and set up infrastructure for ‘Kitting’ – an exercise performed to validate and fix components list of every car being built to improve quality of build, resulting in cost savings of ~2M£ in 18 months.
Graduate Engineer Trainee
F.U.N.D.A. program (July 2016)Technical Training (August 2016)
Colleagues at R&D Altanova
Other employees you can reach at rdaltanova.com. View company contacts for 213 employees →
Sana Mahreen
Colleague at R&D AltanovaPakistan
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GM
Grace Micu Micu
Colleague at R&D AltanovaSunnyvale, California, United States
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MH
Mona Hsueh
Colleague at R&D AltanovaHsinchu City, Taiwan, Province Of China
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MS
Michael Sales
Colleague at R&D AltanovaNew York City Metropolitan Area, United States
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DB
Dimitry Belenitsky
Colleague at R&D AltanovaSomerset, New Jersey, United States
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MM
Mike Moore
Colleague at R&D AltanovaCanada
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RP
Raj Patel
Colleague at R&D AltanovaPiscataway, New Jersey, United States
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UH
Usman Haqani
Colleague at R&D AltanovaKarāchi, Sindh, Pakistan
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ZH
Zohaib Hassan Askari
Colleague at R&D AltanovaPakistan
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MM
Malak Majeed Ullah Khan
Colleague at R&D AltanovaKhyber Pakhtunkhwa, Pakistan
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Jaydutt Kulkarni education
Master Of Science - Ms, Mechanical Engineering - Research, 4.0
Bachelor Of Technology (Btech), Mechanical Engineering, 9.40
88.83%
93.27%
Frequently asked questions about Jaydutt Kulkarni
Quick answers generated from the profile data available on this page.
What company does Jaydutt Kulkarni work for?
Jaydutt Kulkarni works for R&D Altanova.
What is Jaydutt Kulkarni's role at R&D Altanova?
Jaydutt Kulkarni is listed as Program Manager | Carnegie Mellon alumnus | Formerly Bill of Material Lead | Fantasy Premier League podcast host at R&D Altanova.
What is Jaydutt Kulkarni's email address?
AeroLeads has found 1 work email signal at @tatatechnologies.com for Jaydutt Kulkarni at R&D Altanova.
Where is Jaydutt Kulkarni based?
Jaydutt Kulkarni is based in Pittsburgh, Pennsylvania, United States while working with R&D Altanova.
What companies has Jaydutt Kulkarni worked for?
Jaydutt Kulkarni has worked for R&D Altanova, Carnegie Mellon University, Fanteam Focus, and Tata Technologies.
Who are Jaydutt Kulkarni's colleagues at R&D Altanova?
Jaydutt Kulkarni's colleagues at R&D Altanova include Sana Mahreen, Grace Micu Micu, Mona Hsueh, Michael Sales, and Dimitry Belenitsky.
How can I contact Jaydutt Kulkarni?
You can use AeroLeads to view verified contact signals for Jaydutt Kulkarni at R&D Altanova, including work email, phone, and LinkedIn data when available.
What schools did Jaydutt Kulkarni attend?
Jaydutt Kulkarni holds Master Of Science - Ms, Mechanical Engineering - Research, 4.0 from Carnegie Mellon University.
What skills is Jaydutt Kulkarni known for?
Jaydutt Kulkarni is listed with skills including Tabla, Matlab, Powerpoint, Autocad Mechanical, Microsoft Excel, Microsoft Word, German, and Physics.
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