Faizan Javed

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Interests & Expertise: 1) Data Science, Collective intelligence in the web domain (mining web data on the internet, large-scale machine learning), Big Data tools and techniques ( Hadoop, NoSQL datastores, high scalability architectures) 2) Research: Machine Learning, De-duplication/Entity Resolution, Entity Normalization, Semantic Web, Grammar Inference applications in software engineering and domain-modeling. 3) Entrepreneurship: Tech venture planning, market analysis, Angel/VC investing. I aspire to stay at the very cutting-edge and bring a good mix of solid computer science foundations, practical software design experience and business acumen.

data engineering data science machine learning web scalable

Activity
About

Faizan Javed

Presentations

1st Birmingham Big Data Science Group meetup

3rd meetup - Intro to Amazon EMR

Practical machine learning

Likes

Mastering the VC Game presentation

Neural Learning to Rank

Evaluating the search experience: from Retrieval Effectiveness to User Engagement

KDD 2019 IADSS Workshop - Research Updates from Usama Fayyad & Hamit Hamutcu

Knowledge Integration in Practice

Deep Learning for Semantic Search in E-commerce

eBay Search Query Intent

Find it! Nail it!Boosting e-commerce search conversions with machine learning at scale

Spelling correction systems for e-commerce platforms

Taxonomies for E-commerce

Enhancing Information Retrieval by Personalization Techniques

Tanvi Motwani, Lead Data Scientist, Guided Search at A9.com at MLconf ATL 2016

Kaggle meetup #3 instacart 2nd place solution

Deep Learning at Instacart

DataEngConf SF16 - Recommendations at Instacart

Instacart

Data Science @ Instacart

Supply optimization instacart

Instacart_Presentation[1]

Learned Embeddings for Search and Discovery at Instacart

How does Instacart Works

Déjà Vu: The Importance of Time and Causality in Recommender Systems

Deep Learning for Personalized Search and Recommender Systems

Machine learning the high interest credit card of technical debt [PWL]

Digests for the book "Scalability Rules: 50 Principles for Scaling Web Sites"

Next generation linked in talent search

Business Applications of Predictive Modeling at Scale - KDD 2016 Tutorial

Tuning and Debugging in Apache Spark

Everyday I'm Shuffling - Tips for Writing Better Spark Programs, Strata San Jose 2015

(ISM208) The Science of Saving with AWS Reserved Instances