Who is Rudra Singh? Overview
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Rudra Singh is listed as Generative AI Engineer at AT&T, based in Harrison, New Jersey, United States. AeroLeads shows a matched LinkedIn profile for Rudra Singh.
Rudra Singh previously worked as Conversational AI and Data Engineer at Verizon and Machine Learning Engineer at Infobricks Technology Inc. Rudra Singh holds Master Of Science - Ms, Systems Engineering, Regression Analysis, Data Mining, Engineering Optimization || Sql, R, Python from University Of Minnesota.
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Email format at AT&T
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AT&T
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Profile bio
About Rudra Singh
Data Engineer with a strong background in AWS, SQL, Python, Tableau, and advanced data analytics. Experienced in developing interactive visualizations and implementing machine learning models to drive strategic decisions.
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6 roles
Rudra Singh work experience
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Conversational Ai And Data Engineer
Machine Learning Engineer
• Designed and optimized ETL pipelines for real-time data ingestion using Python and AWS services, improving system efficiencyby 20%.• Integrated third-party APIs and automated workflows with Airflow to streamline data processing, reducing operational delaysby 30%.• Deployed Legal_BERT models and OpenAI-4o-mini for automating document summarization and information extraction,reducing manual review time by 35%.• Utilized LangChain to integrate LLM-based applications into workflows, enhancing legal document analysis and decision-makingprocesses.• Optimized data pipelines using AWS S3, reducing processing time by 25% through Python script optimization.• Led development of predictive analytics models for legal data, improving accuracy in document review by 35%.
Data Engineer
• Led the implementation of ETL processes using AWS Glue, creating efficient data flows for reporting.• Leveraged AWS Athena to optimize query performance across large datasets stored in AWS S3.• Built data visualization dashboards in AWS QuickSight, presenting insights to stakeholders and driving strategic decisions.• Applied systems analysis techniques and advanced statistical methods (e.g., multivariate regression) for root cause analysis,driving defect detection improvements by 30%.
Aug 2023 - Dec 2023
Data Engineer Intern
• Designed and implemented ETL pipelines for processing and loading data into AWS S3, improving scalability for 1M+ records.• Optimized data pre-processing using NLP tools (SpaCy, NLTK) for improved downstream analysis and insights.• Created APIs for seamless data flow between AWS and on-premise systems, ensuring integration across teams.• Monitored data performance and availability using AWS tools, ensuring real-time reporting efficiency.
Jan 2023 - Jun 2023
Data Analyst
• Developed and optimized ETL processes to improve inventory management, reducing lead times by 20%.• Automated inventory forecasting using machine learning algorithms, improving demand prediction accuracy by 15%.• Collaborated with production teams to analyze data from assembly lines, optimizing operational efficiency using SQL and PowerBI.• Introduced IoT-based sensor data into pipelines for real-time insights into production performance and decision-making.
May 2020 - May 2022
2 education records
Rudra Singh education
Master Of Science - Ms, Systems Engineering, Regression Analysis, Data Mining, Engineering Optimization || Sql, R, Python
Bachelor Of Technology - Btech, Mechanical Engineering, 8.6/10
FAQ
Frequently asked questions about Rudra Singh
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What company does Rudra Singh work for?
Rudra Singh works for AT&T.
What is Rudra Singh's role at AT&T?
Rudra Singh is listed as Generative AI Engineer at AT&T.
Where is Rudra Singh based?
Rudra Singh is based in Harrison, New Jersey, United States while working with AT&T.
What companies has Rudra Singh worked for?
Rudra Singh has worked for At&T, Verizon, Infobricks Technology Inc, Collins Aerospace, and Rhombium Software, Inc.
How can I contact Rudra Singh?
You can use AeroLeads to view verified contact signals for Rudra Singh at AT&T, including work email, phone, and LinkedIn data when available.
What schools did Rudra Singh attend?
Rudra Singh holds Master Of Science - Ms, Systems Engineering, Regression Analysis, Data Mining, Engineering Optimization || Sql, R, Python from University Of Minnesota.
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