Umang Mehta Email & Phone Number
@comcast.com
1 phone found area 812
LinkedIn matched
Who is Umang Mehta? Overview
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Umang Mehta is listed as Machine Learning Engineer at Comcast | MS in Data Science at Comcast, based in Austin, Texas, United States. AeroLeads shows a work email signal at comcast.com, phone signal with area code 812, and a matched LinkedIn profile for Umang Mehta.
Umang Mehta previously worked as Machine Learning Engineer at Comcast and Software Development Engineer - Machine Learning Engineering at Audible. Umang Mehta holds Master'S Degree, Data Science from Indiana University Bloomington.
Email format at Comcast
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AeroLeads found 1 current-domain work email signal for Umang Mehta. Compare company email patterns before reaching out.
About Umang Mehta
Machine Learning Engineer & Data Scientist with 4.5 years of active research & development experience in Machine Learning (ML), Neural Networks, Natural Language Processing (NLP), MLOps, Big Data Engineering, Social Media Mining, Conversational AI, Information Extraction (IE), Knowledge Graph, Predictive Analytics with Python & Scala and 5 years of professional experience as Full-Stack Software Engineer & Team Mentor with expertise in Database & Java.Highly proficient in Cloud Ops with 7 years of experience with Amazon Web Services (AWS) with expertise in Data and ML Ops using Amazon Sagemaker, AWS Step Function, AWS Elastic MapReduce (EMR), AWS Lambda, AWS Batch, AWS Glue, AWS Athena, Amazon S3, AWS CloudFormation and AWS Cloud Development Kit (CDK)Graduated with a Master's Degree in Data Science and looking for opportunities to work in the field of Deep Learning, Machine Learning, AI and Cognitive Science & Engineering with applications involving Speech Recognition, Voice Interaction, and Natural Language Processing.
Listed skills include Java, Mysql, C++, Html, and 48 others.
Umang Mehta's current company
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Umang Mehta work experience
A career timeline built from the work history available for this profile.
Software Development Engineer - Machine Learning Engineering
• Developed workflows using AWS components like Sagemaker, Lambda, Batch, Glue, EMR & Step Functions as building blocks for creating pipelines with stages for training, validation, scoring, publishing, load testing & deployment to production for Machine Learning Models• Worked on the Frontend and Backend for the platform used for hosting Machine Learning pipelines using the aforementioned building blocks• Used AWS Cloud Development Kit (CDK) to deploy and manage Cloud Resources on AWS• Worked with Data Scientists to make the model code production ready and deploy them as containers to AWS ECS repository for AWS Sagemaker to run Training and Inferencing• Overall my work on the Machine Learning Platform resulted in reducing engineering efforts of Data Scientists by 75%
Data Engineer
• Developed Data Processing Pipeline using Apache Spark and Scala to process Credit Card Requests in batches with joining data from other sources and APIs and make the final output available for Card Embossing Process• This cloud-based system replaced existing mainframe system made the process more efficient by 70%• Built Data Processing Framework for Analytics using Apache Spark and Snowflake to facilitate intents like Anti-Money Laundering and Fraud Detection.• Integrated Streaming Data Pipeline using Apache Kafka in various data pipelines
Data Scientist - Nlp & Ai
• Built Conversational AI agent in Python for Oil and Gas domain• Developed Knowledge Extraction pipeline for 100k+ public documents with Semantic Extraction using NER, Constituent Parsing & Anaphora Resolution with Rasa NLU & Spacy• Built a Knowledge Graph using Dgraph, GraphQL to represent the extracted knowledge with 1M+ entities• Extracted topics from public documents with Gensim and linked them to entities in Knowledge Graph• Trained & deployed text classifiers with Embeddings, LSTM, BERT using TensorFlow, Keras on AWS Sagemaker• The developed product replaced existing disjoint processes to save more than 90% of manual effort and time.• Conceptualized & built PoC of Diagnostic & Predictive Analytics Engine for Oil Well Failure with EM, MLE & MAP
Graduate Research Assistant
• Research and implement NLP methods to extract information from SEC Filings.• Develop or implement models using ML and NLP to analyze model and board leadership of companies.• Built Text Classifiers using NLTK and SciKit-Learn with around 90% accuracy measured with 10-Fold Cross-Validation
Nlp Research Engineer
• Build an analytics engine to determine the critical reception of an artist's work based on chatter on social media. • Developed a Data Preprocessing module using NLTK with steps involving POS Tagging, Stop Words Removal, Stemming and Lemmatization, Negation Handling, N-gram and Sentiment Scoring using AFINN and TextBlob for feature engineering• Built Sentiment Classifier using Naїve Bayes and Multiclass Logistic Regression to classify tweets from artists as +1, 0 and -1 and implemented metrics to analyze sentiment distribution over different demographics.• Leading and advising on the research and implementations of advanced NLP methods to improve the efficiency of the Sentiment Classifier and add new functionalities to improvise the analytics provided to the artists.
President, Data Science Club At Indiana University
• Leads and communicates the direction and vision of the entire Data Science Club at IU• Provides objectives, plans, and initiatives for the other Officers and the entire Data Science Club at IU• Manages the relationship between Data Science Club and other university entities• Supports and coaches other Officers• Coordinates events and initiatives across the Data Science Club at IU• Facilitates administrative meetings• Solicits support from and delegates responsibilities to other members• Automatically serves as interim Officer in the vacancy of any other Officer position
Senior Developer - Application Development
• Developed functionalities for web-based ERP and CRM systems in the domain of Real Estate.• Collaborated in a team of 12 for project development including Java Programming, Data Structure & Database Design, Web Design & Development and Unit Testing.• Lead, trained and mentored a sub-team of 5 throughout the development of the projects.• Contributed towards the Core Framework, proprietarily used by the firm for project development.
Co-Founder
• Developed web portals and mobile apps for small and medium scale enterprises.• Built server software for TCP Layer Protocols customized for cloud-based industrial requirements.• Developed standalone and distributed software for parts of manufacturing production lines.• Mentored and trained multiple groups of 3-4 undergraduate interns for developing industry level projects.
Software Engineer Intern
• Developed a web-based ERP application for educational institutes using HTML, CSS, Bootstrap, Javascript, PHP.• Designed the data structures & schema and managed the database transactions using MySQL • Built mobile App for the ERP using Java Android SDK for Android phones and Java ME for Java-based feature phones.• Deployed the ERP on a hosting service using cPanel.
Colleagues at Comcast
Other employees you can reach at comcast.com. View company contacts →
Yusuf Wilkins
Colleague at ComcastNorth Charleston, South Carolina, United States
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Albert Waldron
Colleague at ComcastGreater Philadelphia, United States
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CM
Carnell Moss
Colleague at ComcastChampaign, Illinois, United States
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BP
Bobbie Pacheco
Colleague at ComcastHillsboro, Oregon, United States
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Ben Shuck
Colleague at ComcastAuburn, Washington, United States
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Christopher Christian
Colleague at ComcastChico, California, United States
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Eric Hart
Colleague at ComcastBaltimore, Maryland, United States
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SC
Sangeeta Chhugani
Colleague at ComcastNorth Wales, Pennsylvania, United States
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Jags Desouza
Colleague at ComcastUnited Kingdom
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LM
Lilianne Medina
Colleague at ComcastMiami, Florida, United States
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Umang Mehta education
Master'S Degree, Data Science
Bachelor Of Engineering (Be), Computer Engineering
Bachelor Of Engineering (Be), Computer Engineering
H.S.C., Science
S.S.C., General Studies
Frequently asked questions about Umang Mehta
Quick answers generated from the profile data available on this page.
What company does Umang Mehta work for?
Umang Mehta works for Comcast.
What is Umang Mehta's role at Comcast?
Umang Mehta is listed as Machine Learning Engineer at Comcast | MS in Data Science at Comcast.
What is Umang Mehta's email address?
AeroLeads has found 1 work email signal at @comcast.com for Umang Mehta at Comcast.
What is Umang Mehta's phone number?
AeroLeads has found 1 phone signal(s) with area code 812 for Umang Mehta at Comcast.
Where is Umang Mehta based?
Umang Mehta is based in Austin, Texas, United States while working with Comcast.
What companies has Umang Mehta worked for?
Umang Mehta has worked for Comcast, Audible, Capital One, Nesh, and Indiana University - Kelley School Of Business.
Who are Umang Mehta's colleagues at Comcast?
Umang Mehta's colleagues at Comcast include Yusuf Wilkins, Albert Waldron, Carnell Moss, Bobbie Pacheco, and Ben Shuck.
How can I contact Umang Mehta?
You can use AeroLeads to view verified contact signals for Umang Mehta at Comcast, including work email, phone, and LinkedIn data when available.
What schools did Umang Mehta attend?
Umang Mehta holds Master'S Degree, Data Science from Indiana University Bloomington.
What skills is Umang Mehta known for?
Umang Mehta is listed with skills including Java, Mysql, C++, Html, Javascript, Python, Php, and Xml.
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