Curriculum Vitae
Engineering background, achievements, and professional timeline.
Sudhanwa Kaveeshwar
AI Engineer | Agentic AI | Generative AI | Data & AI Systems
Executive Summary
AI engineering professional with over 3 years of experience in data engineering and AI agent development, expert in Python and Generative AI technologies. Key achievements include reducing revenue processing time by 85% through optimized ETL pipelines with Azure Databricks & SQL, and enhancing user engagement by deploying AI-powered Assistant Bots that completed 5+ user journeys across 2 channels, resulting in a 30% boost in operational efficiency.
Key Achievements
Implemented NLP solutions increasing self-serve analytics adoption by 300% (3x), enhancing user insight generation.
Achieved Python data ingestion under 10 minutes for over 1 million rows from BigQuery, enhancing data processing efficiency.
Created AI-powered assistance, completing 5+ user journeys and boosting operational efficiency by 30%.
Work Experience
Data Scientist — Bajaj Finserv Health
Pune, India- Engineered a Kafka-based streaming pipeline, enabling real-time data flow to Power BI and powering live dashboards with <5s insight latency.
- Streamlined Airflow orchestration for data mart creation by enabling concurrent execution of multiple Azure Databricks jobs with dependency-aware scheduling, reducing refresh time by 67% (3 hrs → 1 hr) and ensuring 9 AM SLA compliance for MIS and business reports.
- Implemented ETL pipeline with Azure Databricks & SQL, reducing revenue processing time by 85%. Enhanced Power BI reports with trend analysis. Improved data accuracy by 70% through stakeholder collaboration.
- Constructed a cross-sell recommendation engine using Neo4j, leveraging historical booking transactions and user activity data, which deployed targeted offers and intelligent bundling strategies to drive a 27% lift in GMV.
- Delivered an AI-powered analytics platform for non-tech users with LLM insights, persona analysis, data summarization and agent-driven exploration, improving self-serve analytics adoption by 3x.
Associate Data Scientist — Bajaj Finserv Health
Pune, India- Built and tested a scalable Azure ETL pipeline to store 50+ KPIs in MySQL. Delivered insights via Power BI dashboard for visualization. Mechanized reporting workflows, boosting data accuracy and availability by 70%.
- Architected a high-throughput Python ELT pipeline to extract over 1 million rows from Google BigQuery into Azure Data Lake, leveraging multiprocessing and batch processing to achieve an average ingestion time of under 10 minutes.
- Created a flexible backend for AI bots integration, deployed OpenAI Assistant for lab bookings and triage, and established monitoring databases, cutting booking times by 30% and boosting triage accuracy by 20%.
- Devised scalable backend for LLM models with conversation history and session tracking, added file upload with automated insights, and enabled agent-based creation, increasing self-serve insight generation by 60%.
- Formulated a Lab Service Excellence Score to evaluate labs on price, volume, coverage, and catalog diversity, integrating it into booking to boost high-performing labs and improving user experience and efficiency by 30%.
Data Science Intern — Bajaj Finserv Health
Pune, India- Developed a configuration-driven ETL pipeline with Azure Data Factory. Consolidated datasets into data marts, reducing query time by 65% and lowering costs.
- Orchestrated an archival pipeline to compress and migrate aged transactional datasets to Azure Blob Cold Storage, slashing data storage costs by 40% while maintaining full accessibility for audits.
- Enhanced query costs by 20% and execution time by 15% through data models and data marts development.
Technical Competencies
Education
Acropolis Institute of Technology and Research
2019 — 2023 | Indore, India