Tech Stack Expertise:• Programming & Data Analysis: Python, Rust, SQL, R, SPSS• Data Visualization & BI Tools: Tableau, Power BI, Kibana, Looker, Datapine• Databases & Infrastructure: MySQL, Redis, MongoDB, Hive, Google BigQuery, Vertex AI, ElasticSearch• AI & Machine Learning Frameworks: PyTorch, TensorFlow• Advanced ML Techniques: Reinforcement Learning, Transformer Architectures (e.g., Sequence-to-Sequence, Autoregressive), LLMs, LangChain, Retrieval-Augmented Generation (RAG), Generative AI, • NLP/Understanding/Generative AI methods• Experimental Design & Causal Inference: A/B Testing, Causal Models• Professional Background: As an innovative leader in data science, I bring over a decade of experience driving cutting-edge AI and machine learning initiatives across multiple sectors, including Marketing, Travel, and Healthcare. I specialize in building and leading high-performance data science teams to create scalable machine learning solutions that significantly enhance sales channels and drive business growth. In my recent role at XPO, I led key initiatives focused on cost allocation and attribution modeling within the company's expansive Less-than-Truckload (LTL) network across the United States. This work was instrumental in optimizing shipment logistics through our distributed service center network. Additionally, I spearheaded the development of state-of-the-art, context-aware NLP models. These multilingual models are designed for real-time email classification, enabling faster customer resolution and automating customer service pathways through a transformative conversational AI framework. My contributions in predictive modeling and advanced NLP techniques have played a critical role in driving cost efficiencies and elevating overall customer satisfaction.Prior to XPO, I served as a research scientist at Meta, where I led pivotal marketing science research aimed at empowering small and medium-sized business (SMB) advertisers across Meta’s platform ecosystem. By leveraging advanced experiment design, incrementality testing, and performance marketing strategies—alongside personalized recommendation engines and sophisticated customer segmentation—I contributed to elevating Meta’s capabilities in data science, machine learning, decision science, causal inference, and operations research. My goal has consistently been to solve complex business challenges and translate intricate data into actionable insights, enabling SMBs to thrive in an increasingly digital marketplace.