All Episodes
Snacks Weekly on Data Science — 142 episodes
Forecasting Models for Airport Marketplace Operations [Uber]
Accelerating Experimentation Velocity with Interleaving [Expedia]
Building Taxonomies with Large Language Models [Microsoft]
Fraud Detection with Multi-Agent AI Architecture [Razorpay]
Hybrid Search for Improved Content Discovery [OLX]
Localization-Led Generative AI Product [Udemy]
Ladder of Evidence to Understand Product Effectiveness [Meta]
Customized AI System for Subtitle Translation [Vimeo]
Scaling Unit Test Coverage with AI Tools [NYTimes]
Product classification evolution [Shopify]
Building an Ads System from Scratch [Faire]
Optimize SQL Stored Procedures with LLM [Agoda]
LLM-Empowered Job Search [LinkedIn]
Personalized CRM with Bandit algorithm [Uber]
Enhanced Evaluation for Analytics AI Agent [Thomson Reuters Labs]
Measure Listing Lifetime value [Airbnb]
RankNet and LambdaRank for Enhanced Ranking Models [OLX]
Evolving user intent understanding prediction [Udemy]
Framework for Navigating Product Strategy as Data Leaders [Meta]
Estimating Incremental Lift in Customer Value Using Synthetic Control [PayPal]
Predicting User Session Intent with Multi-Task Learning [Netflix]
Product Recommendations with LLMs and Word2Vec [CVS Health]
Building AI Agents at Airtable [Airtable]
Quick Thoughts and Reflections at the End of 2025
Real-time Spatial and Temporal Forecasting [Lyft]
GenAI Solution for Invoice Document Processing [Uber]
Optimize Web Performance [Walmart]
Understanding Metric Movement with Root Cause Analysis [Pinterest]
Improving Search Ranking for Maps [Airbnb]
Out-of-Stock Product Recommendations with Machine Learning [Instacart]
Covariate Selection in Causal Inference [Booking.com]
Personalizing Marketing with Uplift Modeling [Klaviyo]
Quick History and Fun Facts About Halloween: Pumpkins, Candies, and Costumes
Feed Ranking: From Batch Inference to Online Inference [Whatnot]
Self-serve Experimentation Tool for Marketing [Tripadvisor]
Global Feature Importance with Collective Wisdom [Meta]
Evaluating Retrieval Capabilities of Language Models [Microsoft]
Personalized Recommendation with Foundation Models [Netflix]
A/B Testing vs. Multi-Armed Bandits: A Simulated Study [Vanguard]
Catalog Attribute Extraction with Multi-Modal LLMs [Instacart]
Segmenting Supply with a Data-Driven Methodology [Airbnb]
Causal Inference with Bayesian Structural Time Series Model [Walmart]
Advancements in Embedding-Based Retrieval [Pinterest]
How Data Scientists Lead and Drive Impact [Meta]
Building Scalable Risk Management Platform [Revolut]
Tackling Interference Bias with Marketplace Marginal Values [Lyft]
Causal Inference with Double Machine Learning [Microsoft]
Scalable and Blendable Feed Construction [Whatnot]
Using Generative and Traditional AI to Enhance Travel Experience [Expedia]
Ensuring Data Quality at Petabyte Scale [Glassdoor]
Building a Travel Assistant with LLMs [Agoda]
Setting Goals at Scale with the Goal Map [Meta]
Predicting user actions with transformer-based models [Hike]
Quantization Techniques for Language Model [EsperantoTech]
Key Ingredients for a Secure Agentic AI Future [Intuit]
Lessons and Best Practices in Online Experimentation [Oda]
Predict Booking Cancellations with Survival Modeling [Booking.com]
Measure the unit cost of GenAI Features [Workday]
Adopt recommendation for property search [Expedia]
Evaluate LLM-based chatbots performance [Microsoft]
Algorithmic Content Recommendation with Editorial Judgment [NYTimes]
Enhancing Conversational AI with LLMs [Airbnb]
Emerging Economy of Large Language Models (LLMs) [Wix]
Global Holdout Groups [Klaviyo]
Scaling Code Reviews with LLMs [Faire]
Estimating Long-Run Treatment Effects Using Surrogate Indices [Instacart]
Enabling ML Productivity and Efficiency at Scale [Meta]
Elevating Product Machine Learning Models with LLMs [Coupang]
Ranking Lodgings: Machine Learning Behind the Booking Experience [Expedia]
Machine Learning Solution to Personalize Recommendations [Thumbtack]
Enhancing Machine Learning model quality with model excellence score framework [Uber]
Enhance Customer Ticket Categorization with Generative AI [RazorPay]
A Brief Overview of Causal Analysis [Microsoft]
Develop a chatbot using customized generative AI solution [Noom]
Personal Data Classification [Airbnb]
Improving Search Engine Marketing Performance: My First Data Science Project
Reward engineering for better content recommendation [Netflix]
Adaptive Experimentation for Paid Marketing Optimization [Instacart]
Product bundle recommendation with Graph Learning and GPT [CVS Health]
Augmentation techniques for imbalanced text classification [Walmart]
Optimize delivery picking process with mathematical modeling [Instamart]
Building Contextualised Moderation Classifier [GovTech Singapore]
Promotion aware demand forecasting for groceries [AFresh]
Graph technology in fraud detection and prevention [Booking.com]
Marketing mix modeling in marketing Measurement [Qonto]
Causal machine learning to power data driven decisions [Urban Company]
Advanced Product Categorization with Vision Language Models [Faire]
Leverage CUPED to reduce experimentation lifecycle [Walmart]
Building video classifiers with vision language models and active learning [Netflix]
Measuring Marketing Incrementality with Geo Testing [Expedia]
Personalized Out-of-App Marketing Strategy [Uber]
Predicting Estimated Time of Arrival (ETA) Reliability [Lyft]
Moderating Inappropriate Video Content [Yelp]
Measuring brand perception with social media data and deep learning [Airbnb]
Empower Decision Making with Regression Discontinuity Design [Instacart]
Product Recommendation with Deep Learning and Reinforcement Learning [LinkedIn]
Measure Semantic Relevance in Search with Large Language Models (LLMs) [Faire]
Making Informed Decisions in A/B Tests with Multiple Metrics [Spotify]
Improving ETA Predictions with Advanced Deep Learning Architecture [DoorDash]
Forecasting with the balance of art and science [Meta]
Optimize Feature Selection with Generic Algorithm [JustEatTakeaway.com/Grubhub]
Monitoring Mechanisms for Recommendation Systems [Tubi TV]
Determine Causal Effects through Adoptor Analysis [Walmart]
Measure Web Performance with Composite Metric [Indeed]
Developing Text-to-SQL Feature with Large Language Models (LLMs) [Pinterest]
A/B Testing with Cluster Experimentation Under Strong Network Effects [Meta]
Measuring Marketing Effectiveness with Geo-experimentation [Grammarly]
Monte Carlo Simulatoin for Sampled Success Metrics [Shopify]
Building Generative AI Product for Customer Segmentation [Klaviyo]
Machine Learning Solution for Failed Job Auto Remediation [Netflix]
Measure Technical Debt in Software Engineering [Booking.com]
Improving Price Experimentation at Amazon [Amazon]
Tackle Position Bias in Uber Eats Feed Recommendation [Uber]
Decision Making with Analytical Hierarchy Processing [New York Times]
Leveraging Generative AI to Boost Data Analyst Productivity [Intuit]
Perturbation analysis of Large Language Models (LLM) [Microsoft]
Monte Carlo Simulation to Predict Tennis Game Outcomes [DraftKings]
Two-Tower Neural Network Architecture for Candidate Generation in Recommendation System [Expedia]
Large Language Model (LLM) with Retrieval Augmented Generation (RAG) Technology for Efficient Agile Planning [Walmart]
Automated Sanity Checks to Streamline Machine Learning Deployment [Intuit]
Demand Forecasting with Machine Learning Models [Picnic]
Handling Online-Offline Discrepancy in Ads Ranking System [Pinterest]
Consolidate multiple machine learning models for a better performance [Instacart]
Building Recommendation System with Encoder Architecture [ZipRecruiter]
Leverage ChatGPT to build claim assistant functionality [Oscar Health]
Ads Simulation to Accelerate Advertising Optimization [UberEats]
Leveraging Generative AI for Food Recipe Creation [HelloFresh]
2024-01-01 How I achieved my 2013 new year resolution through an effective and unconventional learning approach
[Special episode] Different types of Data Science work and why I enjoy being a Data Scientist
2023-12-18 Product Personalization with Learning to Rank [CARS24]
2023-12-11 Optimising Marketing Allocation with Marketing Mix Models [Haleon]
2023-12-04 Generative AI solution to create engaging email subject lines [Nextdoor]
2023-11-27 Clustering-based customer segmentation [Microsoft]
2023-11-20 In-video search [Netflix]
2023-11-13 Geo Experimentation [Mercado Libre]
2023-11-06 CUPED explained [Statsig]
2023-10-30 geospatial search made easy [Walmart]
2023-10-23 personalized recipe recommendations [The New York Times]
2023-10-16 synthetic search data [Expedia]
2023-10-09 label noise problems and solutions [Walmart]
2023-10-02-instacart-ads-incrementality
Introducing Snacks Weekly on Data Science