Ameya Kulkarni Email & Phone Number
@trames.sg
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Who is Ameya Kulkarni? Overview
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Ameya Kulkarni is listed as Data Strategy Leader at Trames Private Limited, a with 13 employees, based in India. AeroLeads shows a work email signal at trames.sg and a matched LinkedIn profile for Ameya Kulkarni.
Ameya Kulkarni previously worked as Chief Data Officer at Trames Private Limited and AI Consultant at Indo Asia Copper, Public Limited. Ameya Kulkarni holds Nanodegree from Udacity.
Email format at Trames Private Limited
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AeroLeads found 1 current-domain work email signal for Ameya Kulkarni. Compare company email patterns before reaching out.
About Ameya Kulkarni
With over six years of experience in data product development and management, I am the Chief Data Officer at Trames, a leading logistics software platform. At Trames, I lead a team of data engineers and scientists who design, build, and optimize data products that enable seamless and efficient cross-border shipments for shippers and 3PLs.My core competencies include data engineering and architecture, machine learning and deep learning, cloud computing and blockchain, Python, Node.js, and AWS/Azure. I have a Machine Learning Engineer Nanodegree from Udacity and multiple certifications in Data Science and Deep Learning from Coursera. I have a special interest in feature engineering and SSM, and I have published a paper on epilepsy detection techniques using EEG data. I am passionate about technology, and I was the co-founder and CTO of Õpet Foundation, a blockchain-based AI chatbot for personalized learning and career guidance.
Listed skills include Machine Learning, Matlab, Algorithms, Python, and 18 others.
Ameya Kulkarni's current company
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Ameya Kulkarni work experience
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Ai Consultant
Chief Enterprise Architect
Cofounder And Chief Technology Officer
Colleagues at Trames Private Limited
Other employees you can reach at trames.sg. View company contacts for 13 employees →
Yash S.
Colleague at Trames Private LimitedRajkot, Gujarat, India
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JY
Jin Yan Chua
Colleague at Trames Private LimitedSingapore
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RR
Radhika Rungta
Colleague at Trames Private LimitedJamshedpur, Jharkhand, India
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KK
Koh Ka Wen
Colleague at Trames Private LimitedSingapore
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SJ
Swapnil Joshi
Colleague at Trames Private LimitedIndia
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GS
Genine S.
Colleague at Trames Private LimitedSingapore
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AP
Akash Pawar
Colleague at Trames Private LimitedPune, Maharashtra, India
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AA
Arifah Abdullah
Colleague at Trames Private LimitedSingapore
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SK
Swaralee Kibe
Colleague at Trames Private LimitedPune, Maharashtra, India
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JV
Juana Vazquez
Colleague at Trames Private LimitedLerma De Villada, México, Mexico
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Ameya Kulkarni education
Nanodegree
Bachelor Of Engineering (Hons.)
Cie A' Levels
Igcse
Frequently asked questions about Ameya Kulkarni
Quick answers generated from the profile data available on this page.
What company does Ameya Kulkarni work for?
Ameya Kulkarni works for Trames Private Limited.
What is Ameya Kulkarni's role at Trames Private Limited?
Ameya Kulkarni is listed as Data Strategy Leader at Trames Private Limited.
What is Ameya Kulkarni's email address?
AeroLeads has found 1 work email signal at @trames.sg for Ameya Kulkarni at Trames Private Limited.
Where is Ameya Kulkarni based?
Ameya Kulkarni is based in India while working with Trames Private Limited.
What companies has Ameya Kulkarni worked for?
Ameya Kulkarni has worked for Trames Private Limited, Indo Asia Copper, Public Limited, Koppr, and Õpet Foundation.
Who are Ameya Kulkarni's colleagues at Trames Private Limited?
Ameya Kulkarni's colleagues at Trames Private Limited include Yash S., Jin Yan Chua, Radhika Rungta, Koh Ka Wen, and Swapnil Joshi.
How can I contact Ameya Kulkarni?
You can use AeroLeads to view verified contact signals for Ameya Kulkarni at Trames Private Limited, including work email, phone, and LinkedIn data when available.
What schools did Ameya Kulkarni attend?
Ameya Kulkarni holds Nanodegree from Udacity.
What skills is Ameya Kulkarni known for?
Ameya Kulkarni is listed with skills including Machine Learning, Matlab, Algorithms, Python, R, Sql, Regression Models, and Recommender Systems.
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