Personal Information
Organization / Workplace
Greater New York City Area United States
Occupation
Data Scientist at Bank of America
Industry
Technology / Software / Internet
About
My interests are centered on developing tools to assist people in understanding large sets of data. My approach to is to first understand the organizational, social or psychological context of the problem and then draw on statistics and machine learning tools to develop novel solutions. This encourages a holistic view of the problem under consideration and exposes nuances in user behavior that affect the utility of the solution. The approach also centers on evaluating gains in terms of both the efficiency of the system and its effectiveness in terms of the system's ability to better support the individual(s) using the data.
Likes
(155)Simple Lean Agile KPIs
Yuval Yeret
•
13 years ago
Scalable Data Models with Elasticsearch
BeyondTrees
•
8 years ago
Data modeling for Elasticsearch
Florian Hopf
•
8 years ago
Securing Search Index with Searchable Encryption
Harry Ochiai
•
6 years ago
Apache Kafka as Event Streaming Platform for Microservice Architectures
Kai Wähner
•
5 years ago
Monitoring and Orchestration of your Microservices Landscape with Kafka and Zeebe (Meetup)
Bernd Ruecker
•
5 years ago
The role of workflows in microservices
Bernd Ruecker
•
5 years ago
Enhancing relevancy through personalization & semantic search
Trey Grainger
•
10 years ago
Site Search Analytics in a Nutshell
Louis Rosenfeld
•
13 years ago
Apache UIMA and Semantic Search
Tommaso Teofili
•
14 years ago
Natural Language Search with Knowledge Graphs (Haystack 2019)
Trey Grainger
•
4 years ago
How to Build a Semantic Search System
Trey Grainger
•
5 years ago
Building Search & Recommendation Engines
Trey Grainger
•
6 years ago
The Semantic Knowledge Graph
Trey Grainger
•
7 years ago
Reflected intelligence evolving self-learning data systems
Trey Grainger
•
7 years ago
Leveraging Lucene/Solr as a Knowledge Graph and Intent Engine
Trey Grainger
•
8 years ago
Self-learned Relevancy with Apache Solr
Trey Grainger
•
6 years ago
Capacity Planning with Free Tools
Adrian Cockcroft
•
14 years ago
Events Processing and Data Analysis with Lucidworks Fusion: Presented by Kiran Chitturi, Lucidworks
Lucidworks
•
8 years ago
State of Solr Security 2016: Presented by Ishan Chattopadhyaya, Lucidworks
Lucidworks
•
7 years ago
Where Search Meets Machine Learning: Presented by Diana Hu & Joaquin Delgado, Verizon
Lucidworks
•
8 years ago
Why Human Annotated Data Matters for Search - Grant Ingersoll, Lucidworks & Kevin Vondemkamp, Appen
Lucidworks
•
6 years ago
Taxonomical Semantical Magical Search - Doug Turnbull, OpenSource Connections
Lucidworks
•
6 years ago
Real-Time Analytics with Solr: Presented by Yonik Seeley, Cloudera
Lucidworks
•
8 years ago
Lifecycle of a Solr Search Request - Chris "Hoss" Hostetter, Lucidworks
Lucidworks
•
6 years ago
Queue Based Solr Indexing with Collection Management: Presented by Devansh Dhutia, Gannett Co.
Lucidworks
•
8 years ago
Payloads in Solr - Erik Hatcher, Lucidworks
Lucidworks
•
6 years ago
Scaling search with SolrCloud
Saumitra Srivastav
•
9 years ago
Cross Datacenter Replication in Apache Solr 6
Shalin Shekhar Mangar
•
7 years ago
Tuning Solr for Logs
Sematext Group, Inc.
•
9 years ago
Personal Information
Organization / Workplace
Greater New York City Area United States
Occupation
Data Scientist at Bank of America
Industry
Technology / Software / Internet
About
My interests are centered on developing tools to assist people in understanding large sets of data. My approach to is to first understand the organizational, social or psychological context of the problem and then draw on statistics and machine learning tools to develop novel solutions. This encourages a holistic view of the problem under consideration and exposes nuances in user behavior that affect the utility of the solution. The approach also centers on evaluating gains in terms of both the efficiency of the system and its effectiveness in terms of the system's ability to better support the individual(s) using the data.