I'm a Product Data/AI lead.
I have an engineering background in computer science with a focus on data, machine learning, artificial intelligence, as well as robotics, and system control.
I have worked for more than ten years as an embedded data scientist, collaborating directly with customers and stakeholders to understand product requirements and value.
I have led and developed cross-functional AI projects, providing end-to-end technical solutions including architectural design, data modeling, and application development.
After completing an executive master’s degree, I expanded my work to include the business aspects of technical projects. My current responsibilities include product configuration, solution design, program management, project financials, and mentorship.

Areas:
Predictive ML, Recommendation system, Application Personalisation, Demand Forecast, Marketplace, Signal Parsing and Processing, Marketing Campaigns Analytics, Product analysis, User Behavior, Cashflow Forecast, In-Application User-Facing Analytics.
Stack:
Python: Pandas, Numpy, Scikit, scikit-learn, Keras etc.
SQL
Visualization: Tableau, Superset, Looker, Google Data Studio, AWS QuickSight
Platform: AWS SageMaker, ec2, API Gate, Athena, lambda, Crowlers
Always happy to connect!