Summary
Overview
Work History
Education
Skills
Accomplishments
Timeline
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Kanupriya Arora

Sydney,NSW

Summary

Dynamic and experienced Lead Data Scientist with over 8 years of industry experience, specializing in AI strategy, implementation, and ML models. Excited to leverage expertise in data-centric approaches and team leadership to drive actionable insights at Canva.

Overview

9
9
years of professional experience

Work History

Lead Data Scientist

Ernst & Young
03.2022 - Current


  • Built strong relationships with external partners such as vendors or consultants to facilitate successful collaboration on joint projects and initiatives.
  • Led and managed the Gen-AI contact-center project for a large financial firm, optimizing business processes, customer service representative work, and introducing structured processes.
  • Utilized advanced querying, visualization and analytics tools to analyze and process complex data sets.
  • Built A/B testing frameworks for clients to test model quality.
  • Translated business goals, feature concepts, and customer needs into well-defined and prioritized product requirements, aligning them with targeted business use cases.
  • Created and managed Generative AI Community within the organization, driving innovation and leveraging AI technologies to generate business value.
  • Led AI strategy development and effectively managed a high-performing team to successfully deliver exceptional outcomes for clients.
  • Led and developed the team to help clients gain comprehensive insights into shoe brands by employing advanced ML techniques, such as video augmentation, to analyze and interpret video data effectively.
  • Providing thought leadership in both using data to solve business problems and in arriving at innovative statistical solutions.


Data Scientist

OFX
01.2020 - 03.2022
  • Led initiative to migrate and automate legacy reporting platform to Google Cloud Platform.
  • Conducted trainings on Google Cloud Platform globally.
  • Developed NLP project to transform unstructured textual data which enhanced data-driven decision making.
  • Optimized customer journey using Google Analytics and BigQuery.
  • Automated repetitive tasks using scripting languages such as Python or R, saving time during the analytical process significantly.

Data Engineer

The University Of Melbourne, Melbourne
04.2019 - 01.2020
  • Managed cloud migration, server fallout, and physical server maintenance, ensuring seamless data operations.
  • Designed and implemented infrastructure for optimal extraction, transformation, and loading of data from diverse sources, using SQL and Google Cloud Platform (GCP) technologies.
  • Provided guidance and support to researchers in utilizing cloud platforms such as Melbourne Research Cloud and Azure, facilitating end-to-end data management and visualization processes

Senior Data Analyst

Accenture
11.2014 - 01.2018
  • Streamlined data analysis workflows for increased efficiency and faster decision-making processes.
  • Delivered comprehensive reports highlighting key trends, patterns, anomalies, presenting findings to senior management for informed decision-making purposes.
  • Actively involved in agile project management from requirement gathering to project delivery.
  • Implemented data cleansing and standardization processes on textual data for clustering analysis.
  • Created complex data report dashboards in Power BI, Tableau and SQL.

Education

Master of Science - Data Science

The University of Melbourne
Melbourne
12.2019

Bachelor of Science - Computer Science

LPU
India
08.2014

Skills

  • Feature Engineering
  • Gen-AI
  • Visualisation ( Power BI , Tableau , Google Data Studio)
  • Python , SQL , R
  • NoSQL Databases
  • Multiple Cloud Platforms( AWS , GCP and Azure)
  • Predictive Analytics
  • Agile Methodology
  • Advanced data mining
  • Data Governance
  • Machine Learning

Accomplishments

  • Achieved a remarkable 90% increase in business productivity by strategically designing, developing, and seamlessly migrating legacy compliance reporting to the Google Cloud Platform, effectively automating the entire end-to-end journey.
  • Empowered the organization's future talent by conducting Data Science workshops for graduates, equipping them with essential up-skilling opportunities to meet the.

Timeline

Lead Data Scientist

Ernst & Young
03.2022 - Current

Data Scientist

OFX
01.2020 - 03.2022

Data Engineer

The University Of Melbourne, Melbourne
04.2019 - 01.2020

Senior Data Analyst

Accenture
11.2014 - 01.2018

Master of Science - Data Science

The University of Melbourne

Bachelor of Science - Computer Science

LPU

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Kanupriya Arora