SWARITRA SAXENA

• Lead the development and deployment of innovative AI/ML solutions tailored for the Electrical Utilities sector, focusing on improving operational efficiency and asset reliability
• Projects:

MTM (Meter Transformer Mapping): Implemented advanced data conditioning techniques, time series k-means clustering, and a statistical algorithm to detect incorrect meter-to-transformer mappings and generate recommendations for accurate transformer assignments

• Conducted multiple proofs of concept (POCs) for various telecom business challenges, developing numerous AI/ML-based solutions.
• Utilized DevOps/ML Ops practices to deploy these solutions in the GCP environment, delivering comprehensive end-to-end solutions, and collaborating with the pre-sales team to validate business objectives.
• Projects:

PCEM (Predictive Cell Energy Management): Optimized radio technology usage by dynamically locking and unlocking it during low-traffic periods for 4G/5G cells, leveraging AI/ML predictions. This approach ensures minimal impact on customer experience while saving energy on radio equipment, reducing telecom vendors' operational costs.

IBO (Intent-Based Operation): Analyzed user intent and performed real-time utilization, AI/ML forecasting for 5G partitions/slices. The system autonomously adjusts network utilization to meet intended requirements if the forecasted data does not align with user intent.

• Collaborated with clients and stakeholders to address business challenges, design effective solutions, and ensure successful project delivery
• Analyzed and processed complex data sets using advanced tools
• Automated data migration, analysis, and validation processes to meet project requirements
• Projects:

1. E&I to M&R Migration Journey: Analyzed historical data to capture the journey of members migrating from Product E&I to M&R.

2. Built a response model to predict members likely to migrate from E&I to M&R, boosting marketing campaign efficiency by increasing responses, or reducing expenses.

3. Customer Feedback Analysis: Developed a predictive model to detect the most sarcastic comments, as well as partially to highly negative comments.

• Assisted in designing and developing various AI-based projects.
• Projects:

NER Model on Airlines Consumer Comments: Built an NER model to identify source and destination cities from airline consumer comments for one of the largest airline services.

• Researched, designed, and implemented a scalable NoSQL management system.
• Projects:

Data Analysis on Health Data of Mining Machines: Part of a team that developed a platform connecting mining equipment using IoT devices to enable real-time monitoring and effective utilization of mining equipment