Neha Sheth Email & Phone Number
Who is Neha Sheth? Overview
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Neha Sheth is listed as Senior Data Scientist @ Motorola | UIUC Alumni | ML | NLP | GenAI at Motorola Solutions, a company with 17917 employees, based in Chicago, Illinois, United States. AeroLeads shows a matched LinkedIn profile for Neha Sheth.
Neha Sheth previously worked as Senior Data Scientist at Motorola Solutions and Data Scientist Co-Op at Motorola Solutions. Neha Sheth holds Master Of Science - Ms, Information Management, 4.0/4.0 from University Of Illinois Urbana-Champaign.
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About Neha Sheth
Currently working as a Senior Data Scientist at Motorola Solutions. Passionate about data, stories and computational creativity. Specializing in NLP, Large Language Models, Machine Learning and Generative AI. Open to collaborations!2+ years of experience across diverse industries and Fortune 500 clients in the fields of machine learning and natural language processing. Capable of deploying end-to-end data science pipelines to translate business requirements to technical deliverables. Published researcher, start up enthusiast, curious and original.Programming: Python (scikit-learn, numpy, pandas, matplotlib, seaborn, nltk, tensorflow, keras, PyTorch, OpenCV), R (dplyr, data.table, ggplot2,tidyverse, caret, cluster), PySpark, C, C++, HTML, CSS, SQL Server, SAS, bash.Technologies: Data science pipeline, A/B testing, NLP (text classification, summarization, question- answering, chatbots, named entity recognition, automatic speech recognition), Large Language Models, HuggingFace, Computer Vision, Time series forecasting, Rest APIs, Docker, Kubernetes, Apache Spark, OOP, Asynchronous Programming, APIs, Git, Advanced Excel (vlookup, PivotTable, VBA), Powerpoint, Power Automate, Rapid Miner, Tableau, PowerBI, Talend (ETL), Hadoop, MapReduce, AWS, Azure.
Neha Sheth's current company
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Neha Sheth work experience
A career timeline built from the work history available for this profile.
Data Scientist Co-Op
Graduate Research Assistant
- Deployed a multimodal teaching assistant chatbot leveraging LLMs (GPT-3.5, LLaMA-2, FLAN-T5). Fine-tuned models on synthetic data, leading to a ROUGE score of 48.3 on fine-tuned variants, achieving 40% decrease in TA workloads across 10+ courses.- Implemented a “retrieve and re-rank” pipeline for hybrid search using Contriever model and Cross Encoders.
Data Scientist Co-Op
-Automated ETL process through Azure pipelines, decreasing data ingestion latency and time-to-insights for stakeholders by 35%.-Developed a task-oriented dialogue system with Retrieval Augmented Generation on open source LLMs to boost employee engagement toward R&D facility by 20%.
Data Science Intern
-Developed LSTM-based models for root cause analysis and anomaly detection for predictive business process monitoring leading to 20% increase in response times.-Built a sentiment analysis system with 93% accuracy to track customer satisfaction scores in real-time support interactions using lexical and transformer-based approaches.
Data Scientist
· Deployed an automatic speech recognition model with 86% accuracy using AWS services with multi-speaker detection.· Led a team of 5 interns to build analytics solutions for 1K+ branches of Fortune 500 financial institutions; spearheaded fraud detection, collections modeling, statistical root cause and trend analysis using credit bureau data in SQL, Python.
Research Assistant
Assisted with data cleaning, visualization and model testing. Conducted literature reviews comparing SOTA models in natural language processing and recommendation systems; presented work at international conferences.
Analyst Intern
-Worked on identifying and enhancing means to utilize data to improve standard operating procedures, performing detailed business analysis, outlining problems, opportunities and solutions in order to ensure smooth delivery of the product.-Formulated a business dashboard using Tableau to measure the overall performance of the company and produce resourceful.
Head Of Exchange
-Responsibilities included facilitating incoming international interns from more than 80 countries with visa processing and other official documentation. -Assisted them during the tenure of their internship and organizing the Summer Reception program and resolving all official and work-related issues of interns.
Data Science Research Intern
-Researched on Prediction of Drug-Food Interactions using Linked Open Data for data mining, Machine Learning algorithms and DeepDDI framework.-Implemented Logistic Regression, Naive Bayes and Random Forest using DrugBank dataset using sklearn.
Data Science Trainee
-Gained expertise in programming with Python and it’s libraries- NumPy, Pandas and Matplotlib to develop data science modules in Anaconda Spyder IDE.-Worked on calling REST APIs for JSON data and Web Scrapping.-Got proficient with supervised and unsupervised Machine Learning approaches: regression, classification, clustering and association using.
Colleagues at Motorola Solutions
Other employees you can reach at motorolasolutions.com. View company contacts for 17917 employees →
Dhruvin Desai
Colleague at Motorola Solutions
Greater Chicago Area, United States, United States
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SM
Sean M.
Colleague at Motorola Solutions
Lusby, Maryland, United States, United States
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JL
Joseph Larson
Colleague at Motorola Solutions
Windsor, Colorado, United States, United States
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Bruce D. Oberlies
Colleague at Motorola Solutions
Cary, Illinois, United States, United States
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GM
Greeshma Mahadeva Prasad
Colleague at Motorola Solutions
San Francisco Bay Area, United States, United States
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RB
Robert Benvenutti
Colleague at Motorola Solutions
Patchogue, New York, United States, United States
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EK
Erdal Kapar
Colleague at Motorola Solutions
Istanbul, Istanbul, Türkiye, Turkey
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WF
William Froelich
Colleague at Motorola Solutions
Greater Chicago Area, United States, United States
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KL
Kok Lim Tan
Colleague at Motorola Solutions
Penang, Malaysia, Malaysia
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SM
Samuel Matheus De Moura Rocha
Colleague at Motorola Solutions
Campinas, São Paulo, Brazil, Brazil
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Neha Sheth education
Master Of Science - Ms, Information Management, 4.0/4.0
Bachelor Of Technology - Btech, Computer And Communications, 8.2/10
High School, Science, 85.4%
90.1%
Frequently asked questions about Neha Sheth
Quick answers generated from the profile data available on this page.
What company does Neha Sheth work for?
Neha Sheth works for Motorola Solutions.
What is Neha Sheth's role at Motorola Solutions?
Neha Sheth is listed as Senior Data Scientist @ Motorola | UIUC Alumni | ML | NLP | GenAI at Motorola Solutions.
Where is Neha Sheth based?
Neha Sheth is based in Chicago, Illinois, United States while working with Motorola Solutions.
What companies has Neha Sheth worked for?
Neha Sheth has worked for Motorola Solutions, National Center For Supercomputing Applications, Kohler Co., Transorg Analytics, and Manipal University Jaipur.
Who are Neha Sheth's colleagues at Motorola Solutions?
Neha Sheth's colleagues at Motorola Solutions include Dhruvin Desai, Sean M., Joseph Larson, Bruce D. Oberlies, and Greeshma Mahadeva Prasad.
How can I contact Neha Sheth?
You can use AeroLeads to view verified contact signals for Neha Sheth at Motorola Solutions, including work email, phone, and LinkedIn data when available.
What schools did Neha Sheth attend?
Neha Sheth holds Master Of Science - Ms, Information Management, 4.0/4.0 from University Of Illinois Urbana-Champaign.
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