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, Shift and SmarterX.
E-commence experience from pricing a lipstick (https://fabfitfun.com) to BMW (https://shift.com) with a hint of looking into product details, ingredients, image urls to accurately classify a product under regulatory compliance regulation.
Languages: Java, Scala, Python and SQL
Designed dozens of A/B tests
A/B Testing
OpenAI Fine-tuning all day long, Autogen and CrewAI with yaml rules!
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.
Fine-tuned and launched to production classification models, zero-shot learners.
Used PostgresDB SQL, Python, Kibana and ElasticSearch to retrieve data insights, to enable to product owners, AWS cloud proficiency.
A/B designed dozens of Data of Data Science experiments to equip stakeholders with information to make decisions and iterate on improvements
Used PostgresDB SQL, Python, Kibana and ElasticSearch to retrieve data insights, to enable to product owners, AWS cloud proficiency.
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
