Dhaval Patel

DevOps Engineer

Yorktown Heights, New York, United States22 yrs 8 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in scalable algorithms for knowledge discovery.
Developed anomaly detection algorithms for time series data.
Extensive teaching and research experience in computer science.

Stackforce AI infers this person is a Data Science expert with a strong focus on Big Data and Machine Learning applications.

Contact

dhavalpatelinu@gmail.com LinkedIn

Skills

Core Skills

Artificial IntelligencePredictive ModelingBig DataMachine LearningData MiningTeachingResearch

Other Skills

AlgorithmsC++Computer ScienceData AnalysisDatabasesDistributed SystemsGraph Data AnalyticHTMLHadoopHigher EducationInformation RetrievalJavaLaTeXLecturingLinux

About

A passionate computer coder with in-depth knowledge of Data Mining, Text Mining, Natural Language Processing, Database, Distributed Computing, High Performance, Big Data Computing (GPU + Hadoop + Spark + Message Passing), Applied Statistics, My earlier research was generally in the areas of large-scale data analysis for knowledge discovery. Fundamentally, my overall research goal is to develop scalable algorithms and systems to enable efficient knowledge discovery over dynamic, heterogeneous, and massive-scale complex data, such as interval data, time series data, spatial data, spatiotemporal data, social network data, and many more.

Experience

Ibm

3 roles

Senior Technical Staff Member (STSM)

Promoted

Dec 2021 – Present · 4 yrs 3 mos

Research Staff Member (RSM)

Oct 2017 – Dec 2021 · 4 yrs 2 mos

I am working in the field of Ope-rationalizing Artificial Intelligence in Physical World, making real systems to capable to predict the near future events.

Artificial IntelligencePredictive Modeling

Research Scientist

May 2016 – Sep 2017 · 1 yr 4 mos

My work involve integration of Big Data, Machine Learning, Data Mining, Project Management and Time Series Data Analytic. I have developed a good understanding of Sensor Data coming from Oil, Petroleum and nano Scala VLSI industry and development of algorithms for Spark 2.0.x.
Recently, I developed classification based anomaly detection algorithm for time series data with very few positive class (anomaly, unbiased samples).

Big DataMachine LearningData MiningProject ManagementTime Series Data Analytic

School of computing, national university of singapore

Visiting Research Professor

Jun 2015 – Jun 2015 · 0 mo · Singapore

Summer Research Visit as a Visiting Professor at School of Computing, National University of Singapore. I worked with Prof. Wynne Hsu and Prof. Lee Mong Li. I helped Khine to integrate a shape file extension to GeoVast System. We also finalize how GeoVast can be ported into Web browser, such that analyst can use it from any where.

Ibm research lab

Visiting Scientist (Consultant)

May 2014 – May 2014 · 0 mo · Delhi

Graph Data Analytic

Graph Data Analytic

Iit-roorkee

Assistant Professor

Mar 2013 – May 2016 · 3 yrs 2 mos · Roorkee

Primary Activities. Teaching and Research.
Teaching
I taught following core computer science courses to BTech, MTech and PhD Students,
Art of Doing Computer Science Research (QIP Course and Short term Course)
Big Data Training Program
Parallel and Distributed Algorithm (Spring 2016)
Object Oriented Analysis and Design (Autumn 2015)
Operating System (Spring 2015)
Database Management Systems (Autumn 2014)
Introduction to Computer Science and Engineering (Autumn 2014)
Data Mining & Warehousing (Spring 2014)
Database Management Systems (Autumn 2013)
Data Structures (Autumn 2013)
Research.
A volume of 50+ research papers. Bringing conference papers from IJCAI, CIKM. ECIR, and journal papers from WWWJ, TIST, KAIS etc
Detail of papers can be obtained
https://scholar.google.co.in/citations?user=c06_VJAAAAAJ&hl=en

TeachingResearch

University of south australia

Visiting Researcher

Feb 2013 – Feb 2013 · 0 mo · Greater Adelaide Area

Visiting Prof. Jiuyong Li's Data Mining Group

Nus, 2010

Research Fellow

Jul 2010 – Mar 2013 · 2 yrs 8 mos · Singapore

Spread pattern mining of infectious disease & Spatio-Temporal Data Analysis

Spatio-Temporal Data Analysis

Nus, 2006-2010

Teaching Assistance

Jun 2006 – Jun 2010 · 4 yrs

Taught Database System and Computer Security during tutorial session
Prepared lab manual for graduate level Knowledge Discovery and Data Mining course and
graded assignments
Supervised C programming lab