Summary
Overview
Work History
Education
Skills
Additional Information
Timeline
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Gayathri Viswanathan

Sydney,NSW

Summary

A data science expert with more than 9 years of experience in operations, product management, statistical system design, machine learning model development, and production deployment. Built machine learning pipelines to tackle a variety of problem statements in the e-commerce industry. I'm always looking to learn new things and stay up to speed on the latest developments in order to add value to the company.

Overview

10
10
years of professional experience

Work History

Data Scientist

WINR
02.2023 - 07.2023
  • Leveraged open source libraries to employ advanced parsing techniques for efficient extraction and interpretation of complex multinational addresses across four diverse marketplaces
  • Implemented a streamlined deployment strategy by containerizing the solution as a Docker container and seamlessly deploying it using AWS ECS and Amazon SageMaker
  • Created AWS Glue table to establish a seamless connection between an Aurora database and AWS Athena, empowering efficient data extraction for analysis through SQL queries.

Data Scientist

Trimble
11.2021 - 05.2022
  • Implemented a revenue forecasting model using Time Series models for Argentina and Australia’s agricultural divisions worth $25bn. Holt's winter, ARIMA, Facebook Prophet were used as algorithms
  • Collected, analyzed and interpreted patterns using DOMO to understand user journey for the product and recommended effective sales and marketing stratergies

Business Research Analyst

Amazon
04.2018 - 11.2021
  • Designed, implemented and deployed a robust end-to-end ML engine with a false positive rate less than 5% that included both Classification & Clustering techniques. .
  • Algorithms - Random Forest, SVM, and K-Means. S/W Tools: Python, Sci-Kit Learn, and AWS S3, SageMaker
  • Large-scale data wrangling by determining statistically significant features and using a stratified sample technique with 90% confidence to qualify brands for pilot campaigns.
  • Developed a customizable, user-friendly dashboard using Amazon Quicksight to analyse defect patterns and generate actionable insights that improved the user experience by 50% and boosted stakeholder productivity by a considerable margin
  • Managed ten resources, mentored 30+ new grad employees, and guided them up the corporate ladder.

Senior Data Analyst

Amazon
06.2013 - 04.2018
  • As a member of multiple Amazon product teams, I was actively engaged in stakeholder management, business reporting, escalation management, and root-cause analysis. Implemented process improvements and tracked productivity
  • Created a pipeline to consume critical data from databases and stored the data in AWS S3

Education

Post-Graduation Diploma - Data Science

Great Lakes Institute of Management
Chennai, India
10.2021

Bachelor of Science - Mathematics

Ethiraj College For Women, Madras Institute of Technology
Chennai, India
04.2013

Skills

  • Programming Languages and S/W Frameworks: Python, Scikit-Learn, Numpy, Pandas, NLTK, Boto3, Pytorch
  • Visualization Dashboards: Amazon Quicksight, DOMO, Tableau
  • Databases: MS-SQL, Redshift
  • Cloud platforms & services: AWS - SageMaker, Lambda, S3, ECS, Athena, Glue

Additional Information

  • AWARDS AND RECOGNITIONS , 1. VP award - One Awardee out of the entire BU (approx. 3,000 Employees) for that quarter.

Timeline

Data Scientist

WINR
02.2023 - 07.2023

Data Scientist

Trimble
11.2021 - 05.2022

Business Research Analyst

Amazon
04.2018 - 11.2021

Senior Data Analyst

Amazon
06.2013 - 04.2018

Post-Graduation Diploma - Data Science

Great Lakes Institute of Management

Bachelor of Science - Mathematics

Ethiraj College For Women, Madras Institute of Technology

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Gayathri Viswanathan