Data Scientist
• Collaborated with a team of data scientists on the Palantir Foundry platform, utilizing Python to ingest and process customer data.• Developed and trained AI models using Tensor Flow to accurately recommend personalized content and track user actions, article consumption, event attendance, and overall experience on the customer’s site.• Utilized AB testing to determine the performance of models and improve upon them.• Conducted comprehensive data analysis using Foundry Contour to… Show more • Collaborated with a team of data scientists on the Palantir Foundry platform, utilizing Python to ingest and process customer data.• Developed and trained AI models using Tensor Flow to accurately recommend personalized content and track user actions, article consumption, event attendance, and overall experience on the customer’s site.• Utilized AB testing to determine the performance of models and improve upon them.• Conducted comprehensive data analysis using Foundry Contour to understand user behavior, enhancing model accuracy and relevance of recommendations.• Worked closely with stakeholders to identify key metrics and performance indicators, aligning AI model outputs with business objectives.• Created and maintained robust data pipelines, ensuring seamless data flow and up-to-date information availability for ongoing analysis and real-time model recommendations.• Leveraged SQL and Python to extract, transform and analyze customer demographic data within a Snowflake environment.• Created a data-driven win-back marketing campaign to re-engage previously active customers.• Conducted in-depth statistical analysis on customer behavior, segmenting the customer base to identify key insights for the win-back campaign.• Collaborated with other Data Scientists to gather, clean, and enrich data, ensuring data quality and accuracy for analysis and AI model training.• Utilized machine learning techniques and AI algorithms to develop predictive models, improving the accuracy of future marketing campaigns.• Assisted in the creation and maintenance of data pipelines for seamless end-to-end data flow, ensuring that up-to-date information was available for analysis and modeling. Show less