About Us

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Suvarna is an engineering leader and AI innovation strategist with tremendous experience in software engineering and implementation. She has expertise in AI forecasting, big data product architecture, and mathematical/ML-based time series forecasting models.

She has contributed to the development of products, models, and technology enhancements in various retail enterprises and Fortune 500 companies. Her work has helped these organizations venture into new verticals and build software products empowered by AI that have had a positive impact on their bottom line.

Suvarna is an award-winning inventor with multiple  publications and patents. She has collaborated on innovation steering committees across various organizations and verticals to develop state-of-the-art processes and systems using big data AI and machine learning , retail generative AI execution, and blockchain-based supply chain management.

In her free time, 

Suvarna enjoys volunteering for diversity and inclusion initiatives, swimming, and coaching early career graduates. She is a passionate advocate for diversity and inclusion in the tech industry, and she believes that everyone has the potential to succeed. 

PATENTS & PUBLICATIONS 

• Beyond Machine Learning: Advantages of Ensemble Models for Interpretable Time Series Forecasting https://opsmatters.com/ · Jun 6, 2023 
• Scheduling a Workforce for a Forecasted Event According to Timing of the Forecasted Event 17/353211 · Filed Jun 21, 2021  - for Zebra Technologies

• Automated Input Processing for Machine Learning-Based Task GenerationAutomated Input Processing for Machine Learning-Based Task Generation18/369019 · Filed Sep 15, 202318

• Systems and Methods for Automatic Resource Forecasting and Optimization 18/195193 · Filed May 7, 202318/195193 · Filed May 7, 2023
   
• A multi-packaging level blockchain that updates across trading partners to facilitate associating pre-shipment data with shipments
  US 81379227 · Filed Dec 8, 2022US 81379227 · Filed Dec 8, 2022
   
•  A multi-packaging level blockchain that updates across trading partners to facilitate associating pre-shipment data with returned objects
  US 81378700 · Filed Dec 8, 2022US 81378700 · Filed Dec 8, 2022
   
• Automatically cluster sites to forecast future volume for a site with limited operational history US 81382910 · Filed Nov 11, 2022