Shravani Ventrapragada
Natural Language Processing Engineer at Grey-box - Wireless Access to Digital Resources- Claim this Profile
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English Native or bilingual proficiency
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Telugu Native or bilingual proficiency
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Hindi Native or bilingual proficiency
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Marathi Professional working proficiency
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German Elementary proficiency
Topline Score
Bio
Vikas Dhake
Shravani is Hard working & Quick Lerner. Excellent work done by Shravani during intern ship in fully automated robotics shop.
Vikas Dhake
Shravani is Hard working & Quick Lerner. Excellent work done by Shravani during intern ship in fully automated robotics shop.
Vikas Dhake
Shravani is Hard working & Quick Lerner. Excellent work done by Shravani during intern ship in fully automated robotics shop.
Vikas Dhake
Shravani is Hard working & Quick Lerner. Excellent work done by Shravani during intern ship in fully automated robotics shop.
Credentials
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Analyzing Company Performance using Ratios
CourseraAug, 2023- Nov, 2024 -
AWS S3 Basics
CourseraAug, 2023- Nov, 2024 -
Image Processing with MATLAB
MathWorksOct, 2021- Nov, 2024 -
Optimization Onramp
MathWorksOct, 2021- Nov, 2024 -
Deep Learning On Ramp
MathWorksOct, 2021- Nov, 2024 -
Introduction to Statistical Methods with MATLAB
MathWorksOct, 2021- Nov, 2024 -
Reinforcement On Ramp
MathWorksOct, 2021- Nov, 2024 -
MATLAB Fundamentals
MathWorksSep, 2021- Nov, 2024 -
MATLAB Programming Techniques
MathWorksSep, 2021- Nov, 2024 -
Simscape Onramp
MathWorksSep, 2021- Nov, 2024 -
Control Design Onramp with Simulink
MathWorksSep, 2021- Nov, 2024 -
MATLAB for Data Processing and Visualization
MathWorksSep, 2021- Nov, 2024 -
Signal Processing Onramp
MathWorksSep, 2021- Nov, 2024 -
Stateflow Onramp
MathWorksSep, 2021- Nov, 2024 -
Introduction to Linear Algebra with MATLAB
MathWorksAug, 2021- Nov, 2024 -
Solving Ordinary Differential Equations with MATLAB
MathWorksAug, 2021- Nov, 2024 -
Java Programming: Solving Problems with Software
Duke UniversityJun, 2020- Nov, 2024 -
Machine Learning with MATLAB
MathWorksJun, 2020- Nov, 2024 -
Python Data Structures
University of MichiganJun, 2020- Nov, 2024 -
Programming Foundations with JavaScript, HTML and CSS
Duke UniversityMay, 2020- Nov, 2024
Experience
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Grey-box - Wireless Access to Digital Resources
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Canada
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IT Services and IT Consulting
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1 - 100 Employee
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Natural Language Processing Engineer
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Jul 2023 - Present
- Developed and implemented a groundbreaking web extension, streamlining translation of Wikipedia content in underrepresented languages; increased translation efficiency by 40 % and facilitated accessibility to knowledge for diverse communities. – Adopted agile methodology, resulting in a 25% reduction in project delays and a 30% boost in on-time project delivery. – Engineered a highly efficient DeepL model utilizing Python programming; optimized data pre-processing techniques, including… Show more - Developed and implemented a groundbreaking web extension, streamlining translation of Wikipedia content in underrepresented languages; increased translation efficiency by 40 % and facilitated accessibility to knowledge for diverse communities. – Adopted agile methodology, resulting in a 25% reduction in project delays and a 30% boost in on-time project delivery. – Engineered a highly efficient DeepL model utilizing Python programming; optimized data pre-processing techniques, including data cleaning, leading to a 60 % reduction in translation errors and achieving significant time savings for post-editing activities. Show less - Developed and implemented a groundbreaking web extension, streamlining translation of Wikipedia content in underrepresented languages; increased translation efficiency by 40 % and facilitated accessibility to knowledge for diverse communities. – Adopted agile methodology, resulting in a 25% reduction in project delays and a 30% boost in on-time project delivery. – Engineered a highly efficient DeepL model utilizing Python programming; optimized data pre-processing techniques, including… Show more - Developed and implemented a groundbreaking web extension, streamlining translation of Wikipedia content in underrepresented languages; increased translation efficiency by 40 % and facilitated accessibility to knowledge for diverse communities. – Adopted agile methodology, resulting in a 25% reduction in project delays and a 30% boost in on-time project delivery. – Engineered a highly efficient DeepL model utilizing Python programming; optimized data pre-processing techniques, including data cleaning, leading to a 60 % reduction in translation errors and achieving significant time savings for post-editing activities. Show less
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Verizon
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United States
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IT Services and IT Consulting
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700 & Above Employee
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AI/ML Architect (SME)
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May 2022 - Jun 2023
-Developed and trained an AI/ML model in AWS SageMaker, incorporating Langchain Chains and Agents, to schedule appointments based on the FIFO principle, improving the efficiency of the scheduling process. -Utilized open-source routing API and Langchain's API interaction capabilities to consider both distance and driving time while booking appointments, providing a more accurate and user-friendly experience. -Collected data for air passengers overstaying in the USA… Show more -Developed and trained an AI/ML model in AWS SageMaker, incorporating Langchain Chains and Agents, to schedule appointments based on the FIFO principle, improving the efficiency of the scheduling process. -Utilized open-source routing API and Langchain's API interaction capabilities to consider both distance and driving time while booking appointments, providing a more accurate and user-friendly experience. -Collected data for air passengers overstaying in the USA. Preprocessed 50,000 lines of data using data cleaning, and null elimination method in SQL database. -Lead the CBP AI use case to predict the probability of air passengers’ likelihood of overstaying their USA visit using AWS SageMaker, Redshift, Python, and Langchain's Chains and Agents. This model probability is planned to be utilized by NTC (National Targeting Center) in the future roadmap. -Created machine learning modules from the ground up on AWS SageMaker, researched the problem area, built a natural language processing model for semantic similarity, clustering, and summarizing text, deploying it on Amazon Web Services as Docker container and on GCP using Kubernetes. -Mentored Machine Learning and Physics interns (MIT graduates), utilizing agile methodology scheduling CI unit tests on Linux/Unix environment while sharing my knowledge in AWS SageMaker, Redshift, SQL, Python, and cloud computing architectures. Show less -Developed and trained an AI/ML model in AWS SageMaker, incorporating Langchain Chains and Agents, to schedule appointments based on the FIFO principle, improving the efficiency of the scheduling process. -Utilized open-source routing API and Langchain's API interaction capabilities to consider both distance and driving time while booking appointments, providing a more accurate and user-friendly experience. -Collected data for air passengers overstaying in the USA… Show more -Developed and trained an AI/ML model in AWS SageMaker, incorporating Langchain Chains and Agents, to schedule appointments based on the FIFO principle, improving the efficiency of the scheduling process. -Utilized open-source routing API and Langchain's API interaction capabilities to consider both distance and driving time while booking appointments, providing a more accurate and user-friendly experience. -Collected data for air passengers overstaying in the USA. Preprocessed 50,000 lines of data using data cleaning, and null elimination method in SQL database. -Lead the CBP AI use case to predict the probability of air passengers’ likelihood of overstaying their USA visit using AWS SageMaker, Redshift, Python, and Langchain's Chains and Agents. This model probability is planned to be utilized by NTC (National Targeting Center) in the future roadmap. -Created machine learning modules from the ground up on AWS SageMaker, researched the problem area, built a natural language processing model for semantic similarity, clustering, and summarizing text, deploying it on Amazon Web Services as Docker container and on GCP using Kubernetes. -Mentored Machine Learning and Physics interns (MIT graduates), utilizing agile methodology scheduling CI unit tests on Linux/Unix environment while sharing my knowledge in AWS SageMaker, Redshift, SQL, Python, and cloud computing architectures. Show less
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Verizon
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United States
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IT Services and IT Consulting
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700 & Above Employee
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AI/ML Developer
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Jun 2020 - Jul 2021
-Led the development of a customer churn prediction model using XGBoost, reducing churn rate by 15% and increasing customer retention. -Designed and implemented a natural language processing (NLP) solution for sentiment analysis, improving customer feedback analysis by 20%. -Collaborated with cross-functional teams to integrate AI/ML solutions into the company's products, resulting in a 30% increase in user engagement. -Conducted data preprocessing, feature… Show more -Led the development of a customer churn prediction model using XGBoost, reducing churn rate by 15% and increasing customer retention. -Designed and implemented a natural language processing (NLP) solution for sentiment analysis, improving customer feedback analysis by 20%. -Collaborated with cross-functional teams to integrate AI/ML solutions into the company's products, resulting in a 30% increase in user engagement. -Conducted data preprocessing, feature engineering, and model selection to optimize model performance, achieving accuracy rates above 90% on various projects. -Actively participated in the evaluation and selection of ML frameworks, contributing to the adoption of TensorFlow for deep learning projects. -Utilized my web development skills in HTML, CSS, and JavaScript to successfully deploy the model on a webpage using Flask API. Show less -Led the development of a customer churn prediction model using XGBoost, reducing churn rate by 15% and increasing customer retention. -Designed and implemented a natural language processing (NLP) solution for sentiment analysis, improving customer feedback analysis by 20%. -Collaborated with cross-functional teams to integrate AI/ML solutions into the company's products, resulting in a 30% increase in user engagement. -Conducted data preprocessing, feature… Show more -Led the development of a customer churn prediction model using XGBoost, reducing churn rate by 15% and increasing customer retention. -Designed and implemented a natural language processing (NLP) solution for sentiment analysis, improving customer feedback analysis by 20%. -Collaborated with cross-functional teams to integrate AI/ML solutions into the company's products, resulting in a 30% increase in user engagement. -Conducted data preprocessing, feature engineering, and model selection to optimize model performance, achieving accuracy rates above 90% on various projects. -Actively participated in the evaluation and selection of ML frameworks, contributing to the adoption of TensorFlow for deep learning projects. -Utilized my web development skills in HTML, CSS, and JavaScript to successfully deploy the model on a webpage using Flask API. Show less
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Tata Motors
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India
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Motor Vehicle Manufacturing
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700 & Above Employee
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Robotics Engineer Intern
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Jan 2020 - Jun 2020
– Leveraged computer vision and PLC programming techniques to enhance welding precision and efficiency on the assembly line; reduced welding errors by 60 % and saved 20 hours of manual inspection per week. – Streamlined operations by optimizing robot tip change cycles, collaborating within a team of 5, resulting in a remarkable production increase from 36 to 98 cars per day, leading to significant time and resource savings. – Employed OpenCV image processing techniques to validate the… Show more – Leveraged computer vision and PLC programming techniques to enhance welding precision and efficiency on the assembly line; reduced welding errors by 60 % and saved 20 hours of manual inspection per week. – Streamlined operations by optimizing robot tip change cycles, collaborating within a team of 5, resulting in a remarkable production increase from 36 to 98 cars per day, leading to significant time and resource savings. – Employed OpenCV image processing techniques to validate the Sealant application plan by detecting car structure edges. – Conducted comprehensive experimentation with deep neural network architectures (including Vgg16, Vgg19, ResNet50, and AlexNet) to ensure precise application and uphold rigorous quality standards for sealant application plans. – Conducted routine maintenance on 30+ industrial robots, optimizing performance and ensuring consistent operation; delivered detailed analysis reports through Jira, enabling data-driven decision-making by management. Show less – Leveraged computer vision and PLC programming techniques to enhance welding precision and efficiency on the assembly line; reduced welding errors by 60 % and saved 20 hours of manual inspection per week. – Streamlined operations by optimizing robot tip change cycles, collaborating within a team of 5, resulting in a remarkable production increase from 36 to 98 cars per day, leading to significant time and resource savings. – Employed OpenCV image processing techniques to validate the… Show more – Leveraged computer vision and PLC programming techniques to enhance welding precision and efficiency on the assembly line; reduced welding errors by 60 % and saved 20 hours of manual inspection per week. – Streamlined operations by optimizing robot tip change cycles, collaborating within a team of 5, resulting in a remarkable production increase from 36 to 98 cars per day, leading to significant time and resource savings. – Employed OpenCV image processing techniques to validate the Sealant application plan by detecting car structure edges. – Conducted comprehensive experimentation with deep neural network architectures (including Vgg16, Vgg19, ResNet50, and AlexNet) to ensure precise application and uphold rigorous quality standards for sealant application plans. – Conducted routine maintenance on 30+ industrial robots, optimizing performance and ensuring consistent operation; delivered detailed analysis reports through Jira, enabling data-driven decision-making by management. Show less
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Education
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2021 - 2023
Arizona State University
Master of Science - MS, Robotics and Autonomous Systems with AI -
2017 - 2021
SIT- Symbiosis Institute of Technology
Bachelor of Technology - BTech, Electronics and telecommunication -
2005 - 2017
Kendriya vidyalaya IIT POWAI
10+2, Science
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