Vivek Shah
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Vivek Shah Email & Phone Number

Principal Data Scientist at Capital One
Location: New York City Metropolitan Area, United States, United States 12 work roles 2 schools
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Current company
Role
Principal Data Scientist
Location
New York City Metropolitan Area, United States, United States
Company size

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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.

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Capital One

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Profile bio

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.

Current workplace

Vivek Shah's current company

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Capital One
Capital One
Principal Data Scientist
New York, NY, US
Website
Employees
63917
AeroLeads page
12 roles

Vivek Shah work experience

A career timeline built from the work history available for this profile.

Principal Data Scientist

New York, NY, US

Gen Ai Modeler

Current

Riverwoods, IL, US

  • 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.
Jul 2024 - Present

Senior Data Scientist

Riverwoods, IL, US

  • 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.
Aug 2023 - Jul 2024

Data Scientist

San Jose, California, US

  • 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.
Jan 2023 - May 2023

Head Teaching Assistant

New York, NY, US

  • 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.
Feb 2022 - May 2023

Teaching Assistant

New York, NY, US

Course: STAT-UB.0103 - STATISTICS FOR BUSINESS CONTROL AND REGRESSION MODELS

Sep 2022 - Jan 2023

Data Science Analyst

Riverwoods, IL, US

  • 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.
Jun 2022 - Aug 2022

Graduate Employee Adjunct

New York, New York, US

  • 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
Feb 2022 - Jun 2022

Graduate Student Assistant

New York, New York, US

  • 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
Sep 2021 - Jun 2022

Business Analyst

New Delhi, Delhi, IN

  • 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.
Jan 2021 - Aug 2021

Data Analyst

Mumbai, Maharashtra, IN

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.

Jun 2019 - Aug 2019
Team & coworkers

Colleagues at Capital One

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2 education records

Vivek Shah education

Master'S Degree, Data Analytics

New York University

Bachelor'S Degree, Electronics And Telecommunication Engineering

Dwarkadas J. Sanghvi College Of Engineering
FAQ

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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