Vivek Shah Email & Phone Number
Who is Vivek Shah? Overview
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Vivek Shah is listed as Principal Data Scientist at Capital One, a company with 63917 employees, based in New York City Metropolitan Area, United States, United States. AeroLeads shows a matched LinkedIn profile for Vivek Shah.
Vivek Shah previously worked as Senior AI Engineer (Senior Modeler) at Discover Financial Services and Gen AI Modeler at Discover Financial Services. Vivek Shah holds Master'S Degree, Data Analytics from New York University.
Email format at Capital One
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About Vivek Shah
I’m a data scientist with a creative mind for machine learning solutions with an obsession with communicating results effectively. I’m experienced in working on a data team from descriptive to prescriptive analytics, and validating results based decisions taken.Tableau public link: https://public.tableau.com/app/profile/vivek.shah3873Technical: Python, SQL, R, MongoDB (NoSQL), Athena, S3, MySQL, Java, MATLAB, Tableau, Git.Data Science Skills: Machine Learning, AI, NLP, Convolutional Neural Networks, Model Optimization, Statistics, Predictive Modeling. Frameworks and Libraries: PySpark, Jupyter, AWS, Spark, TensorFlow, Keras, PyTorch, OpenCV, Spacy, Google DialogFlow, Hugging Face
Listed skills include Leadership, Pandas, Data Science, Web Scraping, and 27 others.
Vivek Shah's current company
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Vivek Shah work experience
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Senior Ai Engineer (Senior Modeler)
Gen Ai Modeler
Current- Deployed a Gen AI model for Topic Modeling using customer transcripts, achieving over 80% accuracy in generated tags through fine tuning model using Retrieval-Augmented Generation (RAG).
- Streamlined document review accuracy by 30% with prompt engineering and RAG, enabling detailed analysis of 20-page reports,aiding agents in swift and precise information extraction.
Senior Data Scientist
- Researched and experimented to optimize speech-to-text model, resulting in 65% reduction in word error rate enhancing compliance and risk mitigation efforts.
- Automated document generation with a 50% reduction in processing time, enhancing formatting, content, and style utilizing models and leveraging QLoRA and LoRA techniques for quantization.
Data Scientist
- Elevated overall product value by integrating an XGBoost model within a larger suite using Python and AWS, achieving a 25% increase in weekly revenue forecast accuracy for better strategic planning and inventory.
- Boosted customer engagement and significantly increased sales by categorizing pet product and medicine data from S3 using Python, achieving precise multi-level classification to reduce overstock and stockouts.
- Eliminated 50 weekly hours by automating Athena to SQL Server data transfer via EC2, boosting data management efficiency.
Head Teaching Assistant
- SP22_Tech-UB: Introduction to Data Science
- Guided students with python programming assignments about data science and solved python related coding queries.
- Educated 52 students on executing SQL queries in python and assisted them on setting up databases on SQL lite.
Teaching Assistant
Course: STAT-UB.0103 - STATISTICS FOR BUSINESS CONTROL AND REGRESSION MODELS
Data Science Analyst
- Identified areas of opportunities for churned customers by computing exploratory data analysis on 500k+ credit bureau data.
- Remodeled decision-tree algorithm to increase customer acquisition by 13% using Principal Component Analysis & Regularization.
- Communicated with teams to transform business needs into analytical requirements, introduced predictive modeling,and designed a dashboard to measure KPI (Hard pull rate) to fulfill YOY growth of 4.2B $ in new business.
- Utilized advanced statistical techniques and tools such as Snowflake, AIR 9, and Teradata to store, analyze real-time data.
- Derived a sensitivity model to optimize pricing strategies by segmenting customers based on FICO and internal risk score.
Graduate Employee Adjunct
- CS:102 Data Structures- Recitation Leader
- Presented and delivered weekly data structures slides( Hash maps, Linked List, Sorting algorithms) to help students built conceptual knowledge of data structures in Java.
- Held weekly office hours to discuss new concepts and solve coding queries for around 50 students.
- Graded and submitted student's daily assignments to the professor in a timely matter
Graduate Student Assistant
- CS102: Data Structures
- Gained experience assisting 50 students with a range of topics related to data structures during the office hours.
- Provided assistance to professors in recording of student-submitted papers and related coursework.
- Graded fellow students' work in Java and documented each students' ability in a timely and professional manner
Business Analyst
- Predicted customers’ likelihood to renew insurance with 75-80% accuracy by building logistic regression & random forest models on Python
- Presented metrics from 10+ analytics channels on marketing, pricing, & profitability to leadership to monitor the business health.
- Identified client requirements & programmed a document parser using an NLP model to efficiently analyze large sets of data.
- Researched & published 8+ use case articles on applying analytics to solve business problems, leading to winning new business.
Data Analyst
Performed simulation analysis of trading strategies using Python, resulting in 5% reduced risk exposure & improved profitability.Utilized Tableau and Excel to develop customized P&L, risk analysis, and performance attribution reports, enabling portfolio managers and traders to make more informed decisions resulting in improved risk management.
Colleagues at Capital One
Other employees you can reach at capitalone.com. View company contacts for 63917 employees →
Michael A. Taylor
Colleague at Capital One
Greater Richmond Region, United States
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Sonja Checinski
Colleague at Capital One
New York City Metropolitan Area, United States
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Allen Vargason
Colleague at Capital One
Lincoln, Nebraska, United States, United States
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Rosalie Dela Pena-Bello
Colleague at Capital One
Metro Manila, National Capital Region, Philippines, Philippines
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Dishant Bhatt
Colleague at Capital One
Durham, North Carolina, United States, United States
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Jasmine Luo, Crme, Chia
Colleague at Capital One
Mclean, Virginia, United States, United States
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AW
Andrew Woodward
Colleague at Capital One
Arlington, Virginia, United States, United States
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Tre' Garrison
Colleague at Capital One
Laurel, Maryland, United States, United States
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Elise Ryan
Colleague at Capital One
United States, United States
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Eboni Hayes
Colleague at Capital One
Birmingham, Alabama, United States, United States
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Vivek Shah education
Master'S Degree, Data Analytics
Bachelor'S Degree, Electronics And Telecommunication Engineering
Frequently asked questions about Vivek Shah
Quick answers generated from the profile data available on this page.
What company does Vivek Shah work for?
Vivek Shah works for Capital One.
What is Vivek Shah's role at Capital One?
Vivek Shah is listed as Principal Data Scientist at Capital One.
Where is Vivek Shah based?
Vivek Shah is based in New York City Metropolitan Area, United States, United States while working with Capital One.
What companies has Vivek Shah worked for?
Vivek Shah has worked for Capital One, Discover Financial Services, Sikka.Ai, Nyu Stern School Of Business, and Courant Institute Of Mathematical Sciences.
Who are Vivek Shah's colleagues at Capital One?
Vivek Shah's colleagues at Capital One include Michael A. Taylor, Sonja Checinski, Allen Vargason, Rosalie Dela Pena-Bello, and Dishant Bhatt.
How can I contact Vivek Shah?
You can use AeroLeads to view verified contact signals for Vivek Shah at Capital One, including work email, phone, and LinkedIn data when available.
What schools did Vivek Shah attend?
Vivek Shah holds Master'S Degree, Data Analytics from New York University.
What skills is Vivek Shah known for?
Vivek Shah is listed with skills including Leadership, Pandas, Data Science, Web Scraping, Data Analysis, Tensorflow, Keras, and Communication.
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