Summary
Overview
Work History
Skills
Professional Projects
Accomplishments
Timeline
Generic
Barkha Katey

Barkha Katey

Bangalore

Summary

Seasoned Data Scientist experienced working with large datasets, breaking down information and applying interpretations to complex business concerns. Proficient in distribution, predictive and hypothetical modeling. Bringing several years of related experience strengthening company operations.

Overview

5
5
years of professional experience

Work History

Data Scientist

Accenture AI
Bangalore
03.2022 - Current
  • As a Data Scientist at Accenture, I am Integral member of the asset team, identifying $186M in revenue leakage across five major clients
  • Data Analytics and ACA Expertise: Leveraged strong data analytics, development, Machine Learning and Health ACA business functional skills
  • Strategic Client Engagements: Played a crucial role in securing a $55M+ operations and consulting contract at client which is a key account for Accenture, showcasing a true 'One Accenture' approach by integrating multiple tech, ops, and consulting teams
  • Innovative Deal Structuring: Contributed to signing a groundbreaking value-based deal at client one of Accenture's largest health clients, earning significant visibility within West and US leadership due to the deal's innovative structure and high dollar value
  • Client Differentiation: Enhanced Accenture's market position by differentiating product, leading to sole-sourced new work without competitive bidding, as confirmed by feedback from key client executives and Accenture

Data Analyst

Ernst & Young
Bangalore
03.2020 - 03.2022
  • As a Data Analyst for Technology Consulting at EY, I had worked with the EY stakeholders to help them understand the different types of traffic on multiple EY website pages
  • I had also analyzed the page types and UX items contributing to conversion rate
  • This helped the organization to focus its efforts on placement of different articles on website
  • Improved business processes by analyzing SAP data with Celonis, delivering a 0% defect dashboard for KPIs like Net Value and Payment Details
  • Reduced churn rate by 21% through a predictive model using key customer and marketing data, deployed on the client’s system

Skills

  • Python
  • Numpy
  • Pandas
  • MySQL
  • Statistical Analysis
  • Machine Learning
  • Deep Learning
  • Natural Language Processing
  • GenAI
  • Time Series Forecasting
  • Power BI

Professional Projects

  • AERO (ACA Revenue Optimizer) :- A tool that ingests industry-standard enrollment/financial data from ACA exchanges and health payers and reconciles the data to identify revenue recover opportunities for payers.
  • Measurement Framework for EY Website Pages- Aimed at increasing the conversion rates on all the EY website pages, analyzing page types, UX items, and various other factors.
  • Customer Churn using Machine Learning for Telecom - A predictive model was deployed on the front-end using essential features to reduce churn rate significantly.

Accomplishments

  • Client Value Creation Award (6 times)
  • Exceptional Client Service Award
  • EY Bronze Badge for Data Science
  • Exemplify Client-Centricity Award

Timeline

Data Scientist

Accenture AI
03.2022 - Current

Data Analyst

Ernst & Young
03.2020 - 03.2022

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Barkha Katey