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Snacks Weekly on Data Science — 133 episodes

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Title
1

Product classification evolution [Shopify]

2

Building an Ads System from Scratch [Faire]

3

Optimize SQL Stored Procedures with LLM [Agoda]

4

LLM-Empowered Job Search [LinkedIn]

5

Personalized CRM with Bandit algorithm [Uber]

6

Enhanced Evaluation for Analytics AI Agent [Thomson Reuters Labs]

7

Measure Listing Lifetime value [Airbnb]

8

RankNet and LambdaRank for Enhanced Ranking Models [OLX] 

9

Evolving user intent understanding prediction [Udemy]

10

Framework for Navigating Product Strategy as Data Leaders [Meta]

11

Estimating Incremental Lift in Customer Value Using Synthetic Control [PayPal]

12

Predicting User Session Intent with Multi-Task Learning [Netflix]

13

Product Recommendations with LLMs and Word2Vec [CVS Health]

14

Building AI Agents at Airtable [Airtable]

15

Quick Thoughts and Reflections at the End of 2025

16

Real-time Spatial and Temporal Forecasting [Lyft]

17

GenAI Solution for Invoice Document Processing [Uber]

18

Optimize Web Performance [Walmart]

19

Understanding Metric Movement with Root Cause Analysis [Pinterest]

20

Improving Search Ranking for Maps [Airbnb]

21

Out-of-Stock Product Recommendations with Machine Learning [Instacart]

22

Covariate Selection in Causal Inference [Booking.com]

23

Personalizing Marketing with Uplift Modeling [Klaviyo]

24

Quick History and Fun Facts About Halloween: Pumpkins, Candies, and Costumes

25

Feed Ranking: From Batch Inference to Online Inference [Whatnot]

26

Self-serve Experimentation Tool for Marketing [Tripadvisor]

27

Global Feature Importance with Collective Wisdom [Meta]

28

Evaluating Retrieval Capabilities of Language Models [Microsoft]

29

Personalized Recommendation with Foundation Models [Netflix]

30

A/B Testing vs. Multi-Armed Bandits: A Simulated Study [Vanguard]

31

Catalog Attribute Extraction with Multi-Modal LLMs [Instacart]

32

Segmenting Supply with a Data-Driven Methodology [Airbnb]

33

Causal Inference with Bayesian Structural Time Series Model [Walmart]

34

Advancements in Embedding-Based Retrieval [Pinterest]

35

How Data Scientists Lead and Drive Impact [Meta]

36

Building Scalable Risk Management Platform [Revolut]

37

Tackling Interference Bias with Marketplace Marginal Values [Lyft]

38

Causal Inference with Double Machine Learning [Microsoft]

39

Scalable and Blendable Feed Construction [Whatnot]

40

Using Generative and Traditional AI to Enhance Travel Experience [Expedia]

41

Ensuring Data Quality at Petabyte Scale [Glassdoor]

42

Building a Travel Assistant with LLMs [Agoda]

43

Setting Goals at Scale with the Goal Map [Meta]

44

Predicting user actions with transformer-based models [Hike]

45

Quantization Techniques for Language Model [EsperantoTech]

46

Key Ingredients for a Secure Agentic AI Future [Intuit]

47

Lessons and Best Practices in Online Experimentation [Oda]

48

Predict Booking Cancellations with Survival Modeling [Booking.com]

49

Measure the unit cost of GenAI Features [Workday]

50

Adopt recommendation for property search [Expedia]

51

Evaluate LLM-based chatbots performance [Microsoft]

52

Algorithmic Content Recommendation with Editorial Judgment [NYTimes]

53

Enhancing Conversational AI with LLMs [Airbnb]

54

Emerging Economy of Large Language Models (LLMs) [Wix]

55

Global Holdout Groups [Klaviyo]

56

Scaling Code Reviews with LLMs [Faire]

57

Estimating Long-Run Treatment Effects Using Surrogate Indices [Instacart]

58

Enabling ML Productivity and Efficiency at Scale [Meta]

59

Elevating Product Machine Learning Models with LLMs [Coupang]

60

Ranking Lodgings: Machine Learning Behind the Booking Experience [Expedia]

61

Machine Learning Solution to Personalize Recommendations [Thumbtack]

62

Enhancing Machine Learning model quality with model excellence score framework [Uber]

63

Enhance Customer Ticket Categorization with Generative AI [RazorPay]

64

A Brief Overview of Causal Analysis [Microsoft]

65

Develop a chatbot using customized generative AI solution [Noom]

66

Personal Data Classification [Airbnb]

67

Improving Search Engine Marketing Performance: My First Data Science Project

68

Reward engineering for better content recommendation [Netflix]

69

Adaptive Experimentation for Paid Marketing Optimization [Instacart]

70

Product bundle recommendation with Graph Learning and GPT [CVS Health]

71

Augmentation techniques for imbalanced text classification [Walmart]

72

Optimize delivery picking process with mathematical modeling [Instamart]

73

Building Contextualised Moderation Classifier [GovTech Singapore]

74

Promotion aware demand forecasting for groceries [AFresh]

75

Graph technology in fraud detection and prevention [Booking.com]

76

Marketing mix modeling in marketing Measurement [Qonto]

77

Causal machine learning to power data driven decisions [Urban Company]

78

Advanced Product Categorization with Vision Language Models [Faire]

79

Leverage CUPED to reduce experimentation lifecycle [Walmart]

80

Building video classifiers with vision language models and active learning [Netflix]

81

Measuring Marketing Incrementality with Geo Testing [Expedia]

82

Personalized Out-of-App Marketing Strategy [Uber]

83

Predicting Estimated Time of Arrival (ETA) Reliability [Lyft]

84

Moderating Inappropriate Video Content [Yelp]

85

Measuring brand perception with social media data and deep learning [Airbnb]

86

Empower Decision Making with Regression Discontinuity Design [Instacart]

87

Product Recommendation with Deep Learning and Reinforcement Learning [LinkedIn]

88

Measure Semantic Relevance in Search with Large Language Models (LLMs) [Faire]

89

Making Informed Decisions in A/B Tests with Multiple Metrics [Spotify]

90

Improving ETA Predictions with Advanced Deep Learning Architecture [DoorDash]

91

Forecasting with the balance of art and science [Meta]

92

Optimize Feature Selection with Generic Algorithm [JustEatTakeaway.com/Grubhub]

93

Monitoring Mechanisms for Recommendation Systems [Tubi TV]

94

Determine Causal Effects through Adoptor Analysis [Walmart]

95

Measure Web Performance with Composite Metric [Indeed]

96

Developing Text-to-SQL Feature with Large Language Models (LLMs) [Pinterest]

97

A/B Testing with Cluster Experimentation Under Strong Network Effects [Meta]

98

Measuring Marketing Effectiveness with Geo-experimentation [Grammarly]

99

Monte Carlo Simulatoin for Sampled Success Metrics [Shopify]

100

Building Generative AI Product for Customer Segmentation [Klaviyo]

101

Machine Learning Solution for Failed Job Auto Remediation [Netflix]

102

Measure Technical Debt in Software Engineering [Booking.com]

103

Improving Price Experimentation at Amazon [Amazon]

104

Tackle Position Bias in Uber Eats Feed Recommendation [Uber]

105

Decision Making with Analytical Hierarchy Processing [New York Times]

106

Leveraging Generative AI to Boost Data Analyst Productivity [Intuit]

107

Perturbation analysis of Large Language Models (LLM) [Microsoft]

108

Monte Carlo Simulation to Predict Tennis Game Outcomes [DraftKings]

109

Two-Tower Neural Network Architecture for Candidate Generation in Recommendation System [Expedia]

110

Large Language Model (LLM) with Retrieval Augmented Generation (RAG) Technology for Efficient Agile Planning [Walmart]

111

Automated Sanity Checks to Streamline Machine Learning Deployment [Intuit]

112

Demand Forecasting with Machine Learning Models [Picnic]

113

Handling Online-Offline Discrepancy in Ads Ranking System [Pinterest]

114

Consolidate multiple machine learning models for a better performance [Instacart]

115

Building Recommendation System with Encoder Architecture [ZipRecruiter]

116

Leverage ChatGPT to build claim assistant functionality [Oscar Health]

117

Ads Simulation to Accelerate Advertising Optimization [UberEats]

118

Leveraging Generative AI for Food Recipe Creation [HelloFresh]

119

2024-01-01 How I achieved my 2013 new year resolution through an effective and unconventional learning approach

120

[Special episode] Different types of Data Science work and why I enjoy being a Data Scientist

121

2023-12-18 Product Personalization with Learning to Rank [CARS24]

122

2023-12-11 Optimising Marketing Allocation with Marketing Mix Models [Haleon]

123

2023-12-04 Generative AI solution to create engaging email subject lines [Nextdoor]

124

2023-11-27 Clustering-based customer segmentation [Microsoft]

125

2023-11-20 In-video search [Netflix]

126

2023-11-13 Geo Experimentation [Mercado Libre]

127

2023-11-06 CUPED explained [Statsig]

128

2023-10-30 geospatial search made easy [Walmart]

129

2023-10-23 personalized recipe recommendations [The New York Times]

130

2023-10-16 synthetic search data [Expedia]

131

2023-10-09 label noise problems and solutions [Walmart]

132

2023-10-02-instacart-ads-incrementality

133

Introducing Snacks Weekly on Data Science