Working on B2B now. B2C later.Building practical LLMs

• Worked on B2C marketing problems.

• Mentoring students in building statistical models in R and Python across 3 classes.• Teaching and coaching students in Business strategy and KPI analysis models and design principles of an analytical study.

• Presented insights via a PowerBI dashboard linked to a classifier machine learning model; deployed on AWS Redshift.• Collaborated with cross-functional teams to devise an anomaly detection solution for manufacturing pipeline defects, saving over $0.3m annually.

• Formulated and implemented targeted measurement frameworks to establish KPIs, benchmarks, attribution metrics, tagging strategy and reporting approach – ensuring alignment with marketing and business goals across the consumer experience.• Led a team of 4 as Scrum Master, ensuring 100% Agile sprint compliance and optimizing client-focused workflows for customer identity resolution and customer journey modelling using Markov Chains.• Engineered an ELT pipeline integrating data sources with dbt, AWS, and Airflow, showcasing results on Tableau for tailored metrics enhancing decisions on marketing budgets, tactics, and content development.• Coordinated with Sainsbury’s marketing department to implement an A/B testing approach on the ground, leading to a 11% profitability increase for underperforming products.• Built a Walmart Internal Hiring Recruitment Portal creating a ETL pipeline with AWS Redshift backend and API calls with ExpressJs and NodeJS, ReactJS frontend tested end to end using CI/CD Jenkins, Selenium and Jasmine.

• Competed in the CinC 2017 with data provided by the Massachusetts General Hospital, developed a deep learning classifier to detect patients with atrial fibrillation using EKG signal data with 70% accuracy.

• Evaluated piezoelectric transducer data in underwater acoustic chambers, designed optimizations for increased sensitivity and frequency response up to 10%.