Ganesh Adarkar

Data Scientist with 4+ years of experience building and deploying machine learning, NLP, anomaly detection, document intelligence, and Generative AI solutions across B2C, supply chain, and enterprise applications. Strong end-to-end capability across Python, SQL, AWS, Azure, MLOps, LLM orchestration, RAG, and production ML pipelines, with proven delivery of systems processing 100K+ documents daily and AI workflows resolving 65% of tier-1 support tickets. Experienced in translating complex business requirements into scalable analytical and AI solutions in collaboration with product, engineering, and business teams.

DATA SCIENTIST at ZeroOne AI (2024-06 – 2026-07)

Architected and delivered IDEA (Intelligent Data Extraction and Augmentation), an end-to-end document intelligence platform spanning data requirements, ML pipelines, model development, and production delivery.

• Developed deep learning models for engineering-drawing layout semantic segmentation, achieving 95% prediction accuracy, alongside OCR, layout analysis, and symbol-detection models delivering 70–80% accuracy on CAD drawings.
• Engineered a scalable document extraction pipeline processing 100K+ documents daily in resource-constrained environments.
• Built a LangGraph-based multi-agent support system for an edtech platform serving 100K+ learners, resolving 65% of tier-1 tickets within 90 days; developed a RAG pipeline achieving 88% retrieval precision on a 700-ticket evaluation dataset.

JUNIOR DATA SCIENTIST at Surreal AI (2023-10 – 2024-04)

• Owned real-time ETL pipelines supporting a 500K+ user chatbot, improving response latency and contributing to a 30% increase in user engagement.
• Applied NLP techniques including sentiment classification and topic modelling to analyse unstructured JSON feedback and support product and content decisions.
• Deployed and maintained AWS infrastructure across EC2, S3, and SageMaker for production data services and model inference.
• Automated data ingestion and processing workflows, reducing manual content processing by 25% and enabling real-time behavioural analytics.

ASSOCIATE DATA SCIENTIST at DeepCloud Solutions (2021-01 – 2022-07)

• Developed Power BI dashboards integrating multiple SQL data sources, improving operational visibility and contributing to an 18% reduction in supply-chain stockout incidents.
• Implemented XGBoost-based anomaly detection through Azure Pipelines, reducing data inconsistencies by 20% and improving reporting reliability.
• Processed and validated 40K+ rows of commercial data, delivering analysis-ready datasets for strategic planning and senior-management reporting.

MSc in Data Science – University of Glasgow (2022-09 – 2023-09)

MSc in Computer Science – University of Mumbai (2018-06 – 2020-11)

BSc in Statistics – University of Mumbai (2015-06 – 2018-04)