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Data Analytics & Machine Learning Migration to Google Cloud for AdTech Company

Services Covered:

Cloud Consulting and Services • AI and Machine Learning • Big Data Analytics and Business Intelligence
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Industry
Industry

Advertising & Marketing

Duration
Duration

5 months

Budget
Budget

50K - 199K

Client Size
Start Date

1 November 2018

Team Size
Team Size

6-10 Employees

Engagement Model
Engagement Model

Onshore

Project Capability Score (PCS)

gauge meter
75/100
Good

Project Capability Score (PCS) estimates how capable Kanda Software is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

MedData Group

mapBoston, United States of America

Project Summary

Kanda Software transitioned the client's legacy data processing pipelines and machine learning models to Google Cloud, designing new pipelines and ML frameworks to process terabytes of data. The engagement included business analysis, requirements finalization, development, testing, and maintenance. The work improved internal data operations efficiency, reduced turnaround time for data availability, and enabled monetization of new opportunities through advanced analytics.

Key Challenges

  • Transition legacy data processing pipelines and machine learning models to Google Cloud
  • Perform business analysis and finalize requirements
  • Develop a project plan and deliver the solution, test, and maintain within a six-month engagement

Project Deliverables

  • New data pipelines in Google Cloud (BigQuery)
  • Machine learning models and frameworks (TensorFlow, BigQuery ML)
  • Dashboards in Data Studio for standard reports

Project Solution

Performed business analysis and finalized requirements, then designed and developed new data pipelines and machine learning frameworks in Google Cloud. Implemented BigQuery-based data processing for terabytes of data, used Python and TensorFlow (and BigQuery ML) for model development, and delivered dashboards in Data Studio. The team managed testing, delivery, and ongoing maintenance with on-site and remote business analysts, a project manager, engineers, and QA.

Project Outcome

  • Improved internal data operations efficiency
  • Monetized new opportunities through advanced data analytics
  • Reduced turnaround time for data availability for internal operations

Platforms

  • CloudCloud

Tech Stack

  • PythonPython
  • TensorFlowTensorFlow

Client Endorsement

Overall Review Rating

4.88star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“The project improved internal data operations efficiency and helped monetize new opportunities through advanced data analytics. Besides exceptional communication skills, Kanda Software assembled a talented team of analysts, managers, and technical resources to usher the process.”

Krishna Boppana

Head of Technology

Note: This endorsement is based on publicly available client feedback from external review sources.

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