Data Scientist
CurrentUsing emerging tech in traditional industries to improve KPIs and productivity
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@ecc.net
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Prashant Jadiya is listed as Data Scientist @ ECC | MS in Applied Artificial Intelligence at ECC, a with 1572 employees, based in New York City Metropolitan Area, United States. AeroLeads shows a work email signal at ecc.net and a matched LinkedIn profile for Prashant Jadiya.
Prashant Jadiya previously worked as Data Scientist at Ecc and Data Analyst (ML) at Ecc. Prashant Jadiya holds Master'S Degree, Applied Artificial Intelligence, Cgpa: 3.969 from Stevens Institute Of Technology.
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As a Data Scientist at ECC, a leading company in the construction industry, I work with large amounts of data from heterogeneous sources to create and deploy machine learning models that improve the company's key performance indicators, such as safety, net profit, and backlog. I use online learning techniques to ensure that the models are constantly updated and adapted to the dynamic environment and stakeholder needs. Collaborating with the Data Management Team to analyze and report the possible revamps of data collection and data mapping techniques, and to reiterate the data pipeline for optimal efficiency and quality.I have a Master's degree in Applied Artificial Intelligence from Stevens Institute of Technology, where I was also a Graduate Teaching Assistant for six months and had opportunity to research on Adversarial attacks in Neural Network as my thesis work. Also completed the Udacity Data Scientist Nanodegree and obtained multiple certifications from Coursera, including the Google IT Support Professional Specialization and the Stanford University's Machine Learning course. I have published a research paper on Kidney Tumor Segmentation using Deep Learning, and I used to write blogs on Medium (www.medium.com/@prashantjadiya) to share my insights and projects on machine learning, deep learning, and natural language processing. I am passionate about learning new tech stacks and applying them to real-world problems, and I am always looking for opportunities to expand my knowledge and skills in this field.
Listed skills include Leadership, Artificial Neural Networks, Neural Networks, Public Speaking, and 24 others.
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Burlingame, California, United States
Using emerging tech in traditional industries to improve KPIs and productivity
Burlingame, California, United States
Reiterated data pipeline of collecting huge amount of data from heterogeneous sources after analyzing and reporting the possible backdoors of data collection and data mapping techniques with the Data Management TeamProductionized traditional ML models (with Online Learning) to improve company’s KPIs and performance metrics (Safety, Net-Profit, Backlog) focused on Construction industry
Hoboken, New Jersey, United States
Design and grade students’ assignments, projects and lead office hours to answer students’ questions for graduate-level Python courses in Engineering
Satisfied clients with doing projects according to their requirements from various fields, Recommendation Engines, Time series forecasting, Classification tasks, etc.
Alternative name of company is SmartInternz; In this Internship, I worked on project based on IBM watson to create realtime news search app using Discovery service and Node Red to deploy it on Node and integrated with Slack. Got so much of insights of real-time processing of Node RED and IBM watson.
Noida, Uttar Pradesh, India
Conducted research in deep learning algorithms such as V-Net, U-Net and leveraged them on Kidney Tumor Segmentation project of KiTS’19 to achieve 78% accuracy with 300GB data and Published findings in Computers in Biology and Medicine
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Mohammed Alchalabi
Colleague at EccSan Antonio, Texas, United States
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Juan Hernandez
Colleague at EccStockton, California, United States
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Diane Kirsh
Colleague at EccChelmsford, England, United Kingdom
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AK
Adel Khodja
Colleague at EccBrive-La-Gaillarde, Nouvelle-Aquitaine, France
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Erik Ebbekink
Colleague at EccThe Randstad, Netherlands
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Waqar Akbar
Colleague at EccUnited Arab Emirates
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Arun Kumar
Colleague at EccUnited Arab Emirates
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Jake Brown
Colleague at EccRockhampton Area, Australia
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Mushfiqur Rahman
Colleague at EccBangladesh
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Utrao Rao
Colleague at EccAndhra Pradesh, India
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Courses: Master's Thesis (Advisor: Prof. Shucheng Yu) Applied Machine learning Analytical methods of electrical engineering Deep Learning.
In this period of graduation, I learnt many topics of Machine learning and data science field which will help me very much in my career.
Awarded with Devang Mehta IT Awards Conducted workshops of Python and Intro to ML
Quick answers generated from the profile data available on this page.
Prashant Jadiya works for ECC.
Prashant Jadiya is listed as Data Scientist @ ECC | MS in Applied Artificial Intelligence at ECC.
AeroLeads has found 1 work email signal at @ecc.net for Prashant Jadiya at ECC.
Prashant Jadiya is based in New York City Metropolitan Area, United States while working with ECC.
Prashant Jadiya has worked for Ecc, Stevens Institute Of Technology, Freelancer- Self Employed, Thesmartbridge, and Bennett University.
Prashant Jadiya's colleagues at ECC include Mohammed Alchalabi, Juan Hernandez, Diane Kirsh, Adel Khodja, and Erik Ebbekink.
You can use AeroLeads to view verified contact signals for Prashant Jadiya at ECC, including work email, phone, and LinkedIn data when available.
Prashant Jadiya holds Master'S Degree, Applied Artificial Intelligence, Cgpa: 3.969 from Stevens Institute Of Technology.
Prashant Jadiya is listed with skills including Leadership, Artificial Neural Networks, Neural Networks, Public Speaking, Linux, Data Science, Windows, and Data Analysis.
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