Hands on Leadership, MLOps industry level skills, latest Python ML libraries in us
Strong Mathematical background, years of industry and academia experience. Applied Statistics and Probability to solve real world business problems and transform business with technology and information.
I have worked for renown companies like The Honest Company, Headspace, AtomTickets, FabFitFun and Shift. E-commence experience from pricing a lipstick (https://fabfitfun.com) to BMW (https://shift.com).
Languages: Java, Scala, Python and SQL
Designed dozens of A/B tests
A/B Testing
Led teams of data scientist, engineers and analysts.
Implemented MLOps solutions on AWS leveraging SageMaker and AWS ecosystem.
Designed and rolled to production data products such as RecSys built from scratch and using collaborative filtering approach, built dozens of predicted LTV for e-commerce on user and segment level, worked with multimodal non-structured datasets, worked on performance tuning for foundational models (LoRA, PEFT), used transformers.
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AWS Cloud And Data Engineering
Used PostgresDB SQL, Python, Kibana and ElasticSearch to retrieve data insights, to enable to product owners, AWS cloud proficiency.
A/B Testing And Design
A/B designed dozens of Data of Data Science experiments to equip stakeholders with information to make decisions and iterate on improvements
E-Commerce Products
And Latest Foundational Model Work Know your user base, understand data gaps and digital engagement with your site, your product, prevent users from dropping by attending to the user digital need
High Dimensional Embeddings and their applications in e-commerce
Why does cosine similarity and vector spaces enables a data scientist to build recommendation systems, find relevant responses to the user inquiries?
Because Mathematics lies as a foundational stone in DS and AI
