2021-Present

TWILIO

Senior Machine Learning Engineer
-----------------

1. Leading threat network team for account security.

2. Building Automatic SMS Fraud detection solution having latency under 100ms, reduced the 90% fraud rate and saved over a million dollar revenue.

2019-2021

PHILIPS

Data Scientist
-----------------

• 1. Lead Philips AI tool suite adoption for integrating machine learning use cases under data science as a service for HSDP including AI asset repository, and AI tools suite hub.
• 2. Designed and developed an automatic cardiac MRI image segmentation model using deep learning with 90% quality.
• 3. Explored various MLOps tools and created a comparative report.
• 4. Automated cyber-safe marketing campaign analytical dashboard with global marketing team which enhanced their productivity and reduced manual efforts.

2018-2019

SIEMENS HEALTHINEERS
Data Scientist
-----------------

• 1. Designed and developed a supply chain prediction model for sales at Advance Therapy with 97% quality using predictive modeling.
• 2. Deployed log analysis and defect classification model using deep learning model for predictive maintenance of medical devices.
• 3. Designed and developed fault cable detection app for service engineer team which reduced error while installing/repairing field systems.
• 4. Developed defect classification model for software R&D for efficient RCA analysis using NLP and RNN which reduced defects by 50%.

2016-2018

ACCENTURE
Data Analyst
-----------------

• 1. Optimised merchandise financial planning and assortment planning using machine learning models which increased performance by 10% for leading retail client.
• 2. Developed MFP (Merchandise Financial Planning) and assortment planning solution using oracle RPAS.
• 3. Automated various use-cases related to automating Incident closure, CR closure, creating dashboards etc. using RPA tools, python and excel.