A results-driven Lead Product & Analytics with 10+ years of global experience delivering data-driven solutions across Healthcare, Finance, Energy, and IT services. Passionate about building intelligent systems that bridge the gap between product business strategy and data science innovation.
- Industry Experience – 8 years in
Digital Technology/IT, 6 years inHealthcareIndustry, 3 years in Energy, plus experience in HQ Commercial Finance. - Career Interest - AI Product Management and/or Commercial Product Data Analytics roles.
Artificial Intelligence: (Skill Level: Product Manager/Researcher)
1. Deep Learning, : Neural Networks, Transformers, xLSTM, Convolutional Neural Networks (CNNs), GAN's
2. Recommenders : Sequencial Recommendations, Bert4REc, SAS4REc, Popularity Bias
3. Machine Learning : Supervised, Unsupervised, Linear Regression, Logistic Regression
4. Generative AI, LLM's : GPT-4o API's, Phi2.
Autonomous AI Agents:
5. Langchain, (AI Agents, Role: Dedicated Finance Analyst, LLM: GPT-40) - Application: Fintech,
6. Microsoft Phi2 (Role: Research Assistant, LLM: Phi2) - Application: Research
Cloud Platforms:
7. AWS - S3, Athena, Redshift, Sagemaker, RDS, 8. Azure- VM's, Databricks, 9. Google Cloud-Colab Notebooks/A100 GPU/Google Analytics/Adwords, 10. Data Lake
BI & Visualization: (Digital Product Leader/Manager - Experienced Architect)
11. Tableau-Calculative Fields, 12. Spotfire-Information Links, AI Models, 13. Kibana-Rule Alerts, Anomoly Detections, 14. Power BI, 15. OBIEE, 16. AdvancedExcel-Advanced Templates
Databases:
17. Teradata, 18. Oracle, 19. RedShift, 20. Greenplum, 21. Athena, 22. PostgreSQL, 23. SQLite-Local Computations
**Programming: **
24. Python, 25. R, 26. SQL, 27. VBA, 28. HTML, 29. Visual Basic, 30. C# Basics
**CI/CD & Automation: **
31. AWS Code Pipeline, 32. Rally, 33. Python Automation, 34. Excel Macros
**Enterprise Systems: **
35. Oracle, 36. SAP, 37. Hyperion, 38. Workday, 39. Salesforce, 40. Support Central
- English – Fluent
- Tamil – Native Speaker
- German - Beginner (A2.1)
📧 [email protected]
📍 Based in Austria
🌐 Tableau Public
Currently driven to create advanced analytics and intelligent systems that transform product big data into actionable business product insights.