Abhijith N
@abhijith_9n
Data Scientist | Machine Learning Engineer
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Work Experience
Data Scientist
Principal Financial•  August 2023 - Present•  California
Optimizing approval process for insurance plans by reducing rejection rates and increasing approval efficiency. Leveraged Python, SQL, pandas for data analysis and modeling, Spark for big data processing and AWS for cloud infrastructure. Developed and implemented machine learning models tailored to different client types, creating a dynamic risk scoring system. Established an automated approval pipeline for low-risk applicants, supplemented by a human-in-the-loop process for borderline cases. Implemented continuous monitoring and model retraining to maintain accuracy in changing market conditions. Achieved a 10% increase in approval efficiency, automating faster approvals, especially for low-risk individuals and businesses. Enhanced overall customer satisfaction and ensured adherence to risk management frameworks.
Software Engineer | Data Scientist - Data Center Ops
HSBC•  March 2007 - November 2020•  Hyderabad, TS, India
• Developed and implemented an AI-powered chatbot for HSBC Premier clients, reducing average response times by 30% and improving customer satisfaction scores by 25%. • Utilized Python, TensorFlow, and BERT to build NLP models that enhanced query routing accuracy. • Reduced call volume by 25% through automated query resolution and 24/7 availability. • Developed interactive Power BI dashboards to track KPIs, SLAs, and team metrics, increasing SLA adherence by 20%. • Integrated SQL and Power Query for ETL processes, delivering real-time insights to senior management. • Improved team productivity by 15% through data-driven decision-making tools • Managed operations and supported global customers, focusing on deployment and maintenance stages of the SDLC cycle. • Spearheaded change management, system upgrades, and operational excellence in high-stakes environments. • Led a team in managing the operational aspects of an on-prem data center, ensuring continuous uptime and reliability. • Enhanced system efficiency and performance across various platforms, including Linux and Mainframes (iSeries and zSeries), SQL & PostgreSQL databases. Demonstrated leadership in improving systems and processes, achieving operational excellence.
Education
Sonoma State University
Electrical Engineering & Computer Science, MS•  July 2021 - December 2023•  GPA: 3.7
Relevant Coursework: Data Science, Data Mining, Cloud Computing Amazon/AWS, Robotics & Computer Vision, IoT (Internet of Things), Embedded Systems.
