Dev Shah Email & Phone Number
@catalent.com
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Who is Dev Shah? Overview
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Dev Shah is listed as Data Scientist at Catalent Pharma Solutions at Catalent Pharma Solutions, based in Sunnyvale, California, United States. AeroLeads shows a work email signal at catalent.com and a matched LinkedIn profile for Dev Shah.
Dev Shah previously worked as Enterprise Data Scientist at Catalent Pharma Solutions and Data Scientist at Astrazeneca. Dev Shah holds Master Of Science - Ms, Computer Science - Data Science from Rutgers University–New Brunswick.
Email format at Catalent Pharma Solutions
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AeroLeads found 1 current-domain work email signal for Dev Shah. Compare company email patterns before reaching out.
About Dev Shah
"Torture the data and it will confess to anything".I'm a graduate student pursuing my Masters in Data Science from Rutgers University. I love solving problems related to the healthcare industry using Machine Learning techniques.My current skillset includes:Machine Learning: Regression, Decision Trees, Random Forests, Ensemble Methods (Bagging, Boosting)Matrix Factorization (NMF, Z-NMF, Zero Inflated Models)Deep Learning: Neural Networks, Autoencoders, Convolutional Neural Networks, Recurrent Neural Networks, Generative Adversarial NetworksArtificial Intelligence: Bayesian statistics, Constraint Satisfaction ProblemsUnsupervised Learning: K-means, DBSCAN, Gaussian Mixture Models, CURE, Hierarchical Clustering,Languages: Python, SQLData Science, Machine learning and Artificial Intelligence enthusiast who loves extracting valuable information from data to help solve business problems.
Listed skills include Leadership, Search Algorithms, Pandas, R, and 17 others.
Dev Shah's current company
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Dev Shah work experience
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Data Scientist
Graduate Student
- Spring 2020 Courses:
- Computer Vision (16:198:534)
- Machine Learning (16:198:536)
- Data Science in Smart Cities (16:198:672)Fall 2019 Courses:
- Pattern Recognition (16:198:535)
- Massive Data Storage and Retrieval (16:198:543)
Data Science Intern
Performed clustering of high dimensional metatranscriptomic data for the Viome population using various clustering algorithms including CURE, DBSCAN, Gaussian Mixture Models, Spectral Clustering and visualized the results using t-SNE.Effectively reduced dimensions from 7000 to 40 capturing 96% of the explained variance using Stacked Denoising autoencoders.
Big Data Intern
Developed world-class content catering to students in the Big Data Engineering Program at Upgrad.Understood the industry requirements and helped developed course materials on the modules on Virtualization and Streaming Data to help students meet the high industry requirements.Was one of the interfaces between student and faculty to make the students online.
Student Mentor
Dev Shah education
Master Of Science - Ms, Computer Science - Data Science
Bachelor Of Engineering, Electrical And Electronics Engineering
Frequently asked questions about Dev Shah
Quick answers generated from the profile data available on this page.
What company does Dev Shah work for?
Dev Shah works for Catalent Pharma Solutions.
What is Dev Shah's role at Catalent Pharma Solutions?
Dev Shah is listed as Data Scientist at Catalent Pharma Solutions at Catalent Pharma Solutions.
What is Dev Shah's email address?
AeroLeads has found 1 work email signal at @catalent.com for Dev Shah at Catalent Pharma Solutions.
Where is Dev Shah based?
Dev Shah is based in Sunnyvale, California, United States while working with Catalent Pharma Solutions.
What companies has Dev Shah worked for?
Dev Shah has worked for Catalent Pharma Solutions, Astrazeneca, Rutgers University, Viome, and Upgrad.
How can I contact Dev Shah?
You can use AeroLeads to view verified contact signals for Dev Shah at Catalent Pharma Solutions, including work email, phone, and LinkedIn data when available.
What schools did Dev Shah attend?
Dev Shah holds Master Of Science - Ms, Computer Science - Data Science from Rutgers University–New Brunswick.
What skills is Dev Shah known for?
Dev Shah is listed with skills including Leadership, Search Algorithms, Pandas, R, Public Speaking, Algorithms, Microsoft Powerpoint, and Data Analysis.
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