• Led the design and implementation of machine learning models for accurately identifying and classifying fasteners, including screws, bolts, nuts, and rivets. Utilized Python, and TensorFlow to develop these models, achieving a 95% accuracy rate in fastener classification, thereby enhancing product assembly line efficiency by 30%.• Engineered and implemented state-of-the-art vision-based scanning systems using OpenCV andPython to analyze the condition, orientation, and configuration of mechanical components beforedisassembly.• integrating data from advanced fastener recognition and part scanning systems. Utilized pythonand SQL for backend development, along with algorithm optimization techniques that improved disassembly sequence efficiency by 35% and reduced overall project timelines by 15%.

• Authored a comprehensive summary report that illustrated the progressive implementation of Industry 4.0 technologies, demonstrating effective adaptation and integration across the organization.• Led an analytics pilot project that resulted in the development of real-time dashboards, improving visibility into Customer Supply Readiness, Operations Performance, and Inventory Management by 80%.• Utilized Power BI to architect and deploy analytics solutions, enhancing data visualization and decision-making processes across the company.

• Developed and delivered Python curriculum, enhancing coding proficiency by 50% and increasing STEM field interest by 30%.• Developed semi-supervised and unsupervised methods for depth estimation in images and videos in the wild.

• Implemented data warehouse for ~50GB of data sets for a Financial Reports of CFO teams using Microsoft Cloud Technologies (Azure Synapse, Azure Data Factory, Azure SQL Server, Azure Storage), healthcare data sources from 3+ vendors.• Orchestrated ETL and ML models into production-ready pipelines for the Eve Healthcare Coupons along with Data Quality checks.• Scaled a Channel Preference ML Model to dynamically analyze customer reaction towards offers from different channels. For a scale of 70 million customers, this model has been optimized from 25 hrs to 5 hrs (80% reduction) using Azure and Kubernetes friendly practices.

• Crafted and migrated a smooth-scalable-optimized Field Reporting Solution for ~500 Sales Representatives from AWS Cloud Services to Microsoft Cloud Services and saving client costs by 10%.• Validated data, conducted data mapping, and modeled diverse features for AI/ML applications & extracted historical data from the Enterprise Data Warehouse (EDW) employing AWS Glue and Created hierarchical agent and branch hierarchies using PySpark Adjusted to match latency requirements of 1 millisecond.• Owner of End-to-End Digital Services solution for the hyderabad division, from data architecture, design, and build to customer-specific report generation leveraging MySQL, Azure Analysis Services, and Power BI• Performed data fusion of the unstructured data; loaded it in the analytical zone of Snowflake Database with 80% cleaner data of 5 TB.

I have gained experience working as an independent contractor on prominent freelancing platforms such as Upwork and Fiverr, where I have provided my services as a Mathematician. My specialization lies in the fields of 'Engineering Mathematics' as well as 'High-Level Calculus and Statistics'.