Aneesh Sajan
Data Science, Applied Analytics, Machine Learning, Search & Personalization in Amazon
- Role
- Senior Data Scientist at Amazon
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Aneesh Sajan
Data Science professional with 15+ years of experience in Applied Analytics and Machine Learning. Led development of large-scale ML systems including ranking algorithms, personalized recommendation systems, fraud detection models, and anomaly detection solutions using deep learning, graph-based ML, and causal inference. Passionate about data-driven decision-making, strategy development, and delivering scalable solutions that serve billions of daily customer interactions.
Experience
Senior Data Scientist
Mar 2022 — Present · Seattle, WA, US
Amazon Search • Visual Search • Query Understanding • ML Operations • Data platforms Personalization & Recommender Systems • Developing ML models for personalized recommendations, enhancing customer engagement and retention. • Building graph-based recommendation systems leveraging social graphs and deep learning for content discovery. • Modeling customer propensity for deals using predictive analytics. • Developing algorithms to mitigate bias in sparse data, improving recommendation fairness. • Defining a framework to measure inspirational content value. • Conducting large-scale A/B testing and causal inference to assess personalization impact. • Driving strategy documents to align data science innovation with product development. • Driving data-driven decision-making, influencing cross-functional teams. • Writing, reviewing, and implementing science roadmaps and vision; setting research directions. • Building scalable ML pipelines.
Education
National Institute of Technology
Bachelor in Technology , Electronics and Communications Engineering
2007 — 2011
Skills
- Microsoft Excel
- Data Warehousing
- C
- Visual Basic for Applications (Vba)
- Hadoop
- Data Analysis
- Business Analysis
- Vba
- Sas
- Business Analytics
- Analytics
- Sql
- Apache Pig
- Data Modeling
- Hive
- Pl/Sql
- R
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