Hands on Leadership, MLOps industry level skills, latest Python ML libraries in use
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 scientists, 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.
The power of Data. My work.
01
Mistral AI API, OpenAI API, RAG, LoRA, Prompt auto-regressor tests
End to end RAG application with large context and grounding for chat tools, summary building and trend retrievals based on images/videos
02
AWS Cloud And Data Engineering
Used PostgresDB SQL, Python, Kibana and ElasticSearch, Pinecone to retrieve data insights, to enable to product owners, AWS cloud proficiency.
03
E-Commerce Products, A/B Testing and Design
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. A/B designed dozens of Data of Data Science experiments to equip stakeholders with information
favorites
Architecture and MLOps
A/B Design and Experimentation
In Action
Data Science Product Design
Improve e-commerce subscription rate (#Honest, #Headspace, #FabFitFub)