his page contains contact information for all the members of BigDAI/HiPIC. From here you can send e-mail to the BigDAI/HiPIC members, or visit their personal home pages.

People

• Woo, Jongwook (PhD, Director)
• Yadav, Savita (Graduate Student of Information Systems)
• Kang, Jo In (Visiting Scholar: PhD Candidate of Media Processing Lab, Kwangwoon University)

Alumni

• Lee, Jaehoon (Data Analyst of American Honda Mortots (AHM))
• Muralidharan, Samyuktha (Analyst, Business Analytics (Applebee's) at Dine Brands Global)
• Paul, Ankita (Graduate Student of Information Systems)
• Kundu, Shuvadeep (Manager, Cisco Systems @ Los Angele)
• Alam, Mohsen (IT Analyst @ Avery Dennison)
• Randall, Lunetto (Growing eCommerce w/ AI @ DataMilk)
• Shinde, Shradha (Data Engineer 3 @ Fandango)
• Patel, Dhruvi (Data Analyst & Visualization at Ally Lending)
• Dauletbak, Dalyapraz (PhD Student @ Indiana University)
• Mishra, Monika (BI Developer-Full Stack @ Kaiser)
• Gupta, Neha (Data Analyst @ Google)
• Singh, Ruchi (BI Developer, Gumgum.com @ Santa Monika)
• Purushu, Priyanka (City of Los Angeles)
• Pritwani, Kunal  (IT Security and Compliance Analyst / Programmer @ CalStateLA) 
• Chandra, Manvi (Data Analyst @ CISCO San Diego, past: Rapp)
• Kale, Priyanka (SQL Developer and DB Analyst @ Luth Research)
• Mistry, Priyal Nimesh (Graduate Student of Information Systems)
• Donda, Ram Dharan (S/W Engineer @ CISCO  San Diego,  past: SoftClouds)
• Bhingardive, Apekshit C (Graduate Student of Information Systems)
• Maner, Shahbaz (S/W Engineer @ United Health Group)
• Sarang, Pooja (Graduate Student of Information Systems)
• Giri, Piyush Pradip (S/W Engineer @ SmartUsys)
• Bhattacharya, Nillohit (S/W Engineer @ Infosys Limited)
• Mehta, Jay (Graduate Student of Information Systems)
• Ryu, HyeKyung (S/W Engineer @ TmaxSoft Korea)
• Oh, Suhyeon (Research Engineer)

 

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Professor Jongwook Woo

• Big Data Technical Advisor of Isaac Engineering since May 2018

• AWS Academy / Educate Contact of CalStateLA since 2016

• Advisory Council Member of Spark Technology Center since 2015

• Advisory Board Member of Big Data Education Project, The Pennsylvania State University - Altoona since 2015

• External Collaborator of IMSC at USC since 2009

• Big Data & Predictive Analysis shown at Linkedin

• CV (08/26/2021)

Office Location:  
Simpson Tower 604
Information Systems Department
California State University, Los Angeles
Los Angeles, CA 90032-8530

Work Phone: +1-323-343-2916  Fax: +1-323-343-5209
jwoo5 (AT) calstatela.edu, www.calstatela.edu/faculty/jongwook-woo

 

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Neha Gupta

   Office Location:
      Silicon Vally, Google

   Industrial Experience:  
      Data Analyst @ Google

      Intern of Data Analysis @ IT Strategist, Los Angeles (Summer 2018)

   Research:  
      Big Data Analysis/Science:

• Predictive Data Analysis and Fraud detection in Ad Tracking using Telecom Data with the help of Spark ML and Azure ML.

• Crime Pattern Analysis for Metropolitan cities (Los Angeles, New York, and Chicago) of United States using Hadoop, Hive, Pig, and Tableau.

• Written term paper of Microservices.

• Analyzing Housing Market data published by Zillow using Tableau.

Publications and Conferences:

• Crime Pattern Analysis using Hadoop Big Data Poster at WiDS (Women in Data Science), February 2018

Contact Info: 

ngupta8 (AT) calstatela.edu

https://www.linkedin.com/in/nehaguptacalstatela/

https://github.com/ngupta8

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Priyanka Purushu

  Office Location:
   Simpson Tower, CalStateLA

  Industrial Experience:  
      3+ years of experience as SAP ABAP programmer (SAP Certified)

   

Research:  

Big Data Analysis/Visalization/Science:

• Big Data Analysis in LAFD (Los Angeles Fire Department) healthcare insurance claim data using Spark ML and Tableau
• Big Data Analysis and Science in city of Los Angeles data using Hadoop (Hive, Pig), Spark ML, Azure ML and Adobe Connect
• Fraud Transaction Detection using Azure ML and Spark ML
• Yelp Data Analysis – using Apache Spark Data frames.
• Yelp Data Analysis - Json file conversion and data cleaning was done using PIG and Hive. Valuable insights were made using the Hive queries and visualization was done for the same using Excel Power View and Tableau 9.2.
• LA crime dataset from 2011-2015 was cleaned using Excel and then analyzed. Various interesting insights on LA crimes was visualized using Tableau.
• LA crime dataset from 2011 to 2015 was cleaned and processed using R. Various insights were brought to visualization using R queries.​

Publications and Conferences:

• (Submitted and under review as of Nov 2017) Priyanka Purushu, Niklas Melcher, and Jongwook Woo, “Fraud Transaction Prediction in Finance Using Spark Machine Learning”, in The International Journal of Knowledge-Based Organizations

Contact Info: 

ppurush (AT) calstatela.edu, priyanka.purushu89 (AT) gmail.com

https://github.com/priyanka21sk

https://www.linkedin.com/in/priyanka-purushu-180091148/

 

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Kunal Pritwani

  Office Location:
   ITS Security, CalStateLA

  Company/Research:  
   IT Security and Compliance Analyst / Programmer @ ITS - Security Department of CalStateLA

   Big Data Analysis/Science:

• Predictive Analysis using Spark ML in Cloud Computing: MS Azure, Data Bricks and IBM Data Science Experience
• Data Analysis of College Data, Stock Data, and Word Development Data using Hadoop Hive, Spark SQL/Data Frame in Cloud Computing: MS Azure, Data Bricks and IBM Bluemix/Data Science Experience
• Women's Business Listing Approval Web Site Development using Adobe and Amazon AWS at City of Los Angeles

Publications and Conferences:

• Kunal Pritwani, Knox Wasley, and Jongwook Woo, “Big Data Analysis of World Development Indicators using Apache Spark”,  2017 Pre-ICIS SIGDSA Symposium, Korea, Dec 2017
• "Historical College Scorecard Big Data Analysis using In-Memory processing", Kunal Pritwani, Atinder Singh, Dharmesh Soni, Mounika Vallabhaneni and Jongwook Woo, in Global Journal of Computer Science and Technology (GJCST), Volume 17, Issue 1: 21-27, ISSN 0975-4172
• “Historical Analysis of College Scorecard”, The 25th Annual Student Symposium, CalStateLA, February 24th 2017.

Contact Info: 

kpritwa (AT) calstatela.edu

https://www.linkedin.com/in/kunal-pritwani

https://github.com/pritwanikunal

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Manvi Chandra

  Office Location:
    CISCO @ San Diego; Past: Rapp @ Santa Monica

  Research:  
     Data Analyst at Rapp

•  Movie Data Analysis and Prediction

• Hydrogen Gas Power Plant Data Analysis and Prediction Using Spark and Azrure ML with Decision Forest

• Online Retail Store Data Analysis

Publications and Conferences:

• Manvi Chandra and Jongwook Woo, “Big Data Prediction in Hydrogen Gas Power Plant using Apache Spark”, in the proceedings of KSCI (Korean Society of Computer and Information), volume 25, no 1, 2017

Contact Info:
chandramanvi24 (AT) gmail.com, manvi.chandra (AT) rapp.com
https://www.linkedin.com/in/manvi-chandra-872a2a88
https://github.com/avimuks/Project-528
https://github.com/manvichandra/520movies

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Priyanka Kale

  Office Location:

       Pluto TV at West Hollywood  

   Research:  
       Digital Analytics Specialist at Pluto TV
       
         Big Data Analysis/Science:

• Yelp Data Analysis and Prediction  

             Publications and Talks:

• “ CheckMate - Geolocation Analyzer”, PRIYANKA KALE, PRIYAL MISTRY, HITESH JAGTAP in CBE FAculty Research Colloquim, CalStateLA, Dec 1 2016

• “ Geolocation Data Analysis for Safe Residence using HiveQL”, PRIYANKA KALE, PRIYAL MISTRY, HITESH JAGTAP in 24th Annual Student Symposium, CalStateLA, 26th February 2016

• “ Revenue & employment Analysis of International Students in USA”, Priyanka Kale, Apekshit Bhingardive, Aditya Verma in 24th Annual Student Symposium, CalStateLA, 26th February 2016

Contact Info: 
priyanka.kale17 (AT) gmail.com
http://www.linkedin.com/in/priyankakale
https://github.com/priya708

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Priyal Nimesh Mistry

Office Location:
Simpson Tower, CalStateLA

Research:  
Big Data Analysis:

• Sentiment Data Analysis

Publications and Talks:

• “ CheckMate - Geolocation Analyzer”, PRIYANKA KALE, PRIYAL MISTRY, HITESH JAGTAP in CBE FAculty Research Colloquim, CalStateLA, Dec 1 2016


• “ Geolocation Data Analysis for Safe Residence using HiveQL”, PRIYANKA KALE, PRIYAL MISTRY, HITESH JAGTAP in 24th Annual Student Symposium, CalStateLA, 26th February 2016


•  

Contact Info:
priyalmistry4 (AT) gmail.com
https://www.linkedin.com/in/priyal-mistry-133a3596

 

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Ram Dharan Donda

Office Location:
Simpson Tower, CalStateLA

Research:  
Big Data Analysis:

• Crime Rate and Business Data Analysis in Los Angeles

Publications and Talks:

• “Business Data Analysis near CalStateLA, USC, UCLA using Spark SQL in Los Angeles, 2016”, Donda, Ram Dharan in HiPIC, CalStateLA, 24th June 2016


• “Crime rate data analysis in Los Angeles, 2012 - 2015”, Donda, Ram Dharan; Puli, Sridhar Reddy in HiPIC, CalStateLA, 24th June 2016


• “ Crime rate data analysis in Los Angeles”, Sontinani, Ravi Teja; Donda, Ram Dharan; Puli, Sridhar Reddy; Devabathini, Sri Chakra Sanjay in 24th Annual Student Symposium, CalStateLA, 26th February 2016


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Contact Info:
rdonda (AT) calstatela.edu
https://www.linkedin.com/in/ramdharan-donda-91267a26

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Apekshit Bhingardive

Office Location:
Simpson Tower, CalStateLA

Research:  
Big Data Analysis:

• Uber and Taxi Data Analysis in New York
• Resale Market Analysis
• Analysis of Revenue Earned from Students in USA

Publications and Talks:

• “Revenue and Employment Analysis of International Students in USA”, Priyanka Kale, Apekshit Bhingardive, Aditya Verma in 24th Annual Student Symposium, CalStateLA, 26th February 2016


•  

Contact Info:
abhinga (AT) calstatela.edu or apekshitb (AT) live.com
https://www.linkedin.com/in/apekshitb

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Shahbaz Maner

Office Location:  S/W engineer at United Health Group (Optum Technology Government Solutions)
Irvine, CA

Research:  
Big Data Analysis: Traffic Violation Dataset 

Contact Info:
manershahbaj12 (AT) gmail.com
http://www.linkedin.com/in/shahbajmaner
https://github.com/shahbajmaner
https://code.google.com/u/102168484064347716279/

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Pooja Sarang

Office Location:  
Simpson Tower, CalStateLA

Contact Info:
poojasarang22 (AT) gmail.com
https://www.linkedin.com/in/poojasarang
https://github.com/poojasaran22

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Piyush Pradip Giri

Work:  .net/Web Developer at SmartUsys
Irvine, CA

Research:  
Big Data Analysis: Criminal Data Analysis   

Contact Info:
piyush.giri2910 (AT) gmail.com
https://www.linkedin.com/pub/piyush-giri/1a/633/710
https://github.com/piyushgiri/CrimeDb

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Nillohit Bhattacharya

Work: S/W QA Engineer at Infosys Limited
Downtown LA

Research:  
Big Data Analysis:

• Airline Dataset 
• Twitter Sentiment Analysis using HiveQL of PySpark

Publications:

• Nillohit Bhattacharya  and Jongwook Woo, "Airline Data Set Analysis using Big Data in Cloud Computing" in The 2017 Korea Society of Management Information Systems Spring Annual Conference (KMIS 2017), Chonnam University, Korea, June 6 - 9 2017
• Nillohit Bhattacharya and Jongwook Woo, “Big Data Analysis of Airline Data Set using Hive”, in Journal of Systems and Software, August 2015, Vol. 5 No. 2, pp22-26, ISSN 2225-7217
• Nillohit Bhattacharya and Jongwook Woo, “Big Data Analysis of Airline Data Set on Cloud Computing”, in JIIBR (Journal of International and Interdisciplinary Business Research) Symposium, Oct. 7-9, 2015, Los Angeles, CA , ISSN 2225-7217

 

Contact Info:
nillohit.bhattacharya (AT) gmail.com
https://www.linkedin.com/in/nillohit
https://github.com/nillohit-bhattacharya

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Jay Pareshkumar Mehta

Office Location:  
Simpson Tower, CalStateLA

Research:  
Big Data Analysis: Historical Stock Data  

Contact Info:
jmehta3 (AT) calstatela.edu
https://www.linkedin.com/pub/jay-mehta/46/412/79b
https://github.com/jaymehta26
http://www.slideshare.net/jaymehta735

 

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HyeKyung Ryu

Office Location:  
TmaxSoft, Seoul, Republic of Korea

Contact Info:
hk3757 (AT) nate.com
http://www.linkedin.com/in/hyekkyung
https://github.com/hyekkyung

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Suhyeon Oh

Office Location:  
Seoul, Republic of Korea

Contact Info:
suhyeon729 (AT) gmail.com
http://www.linkedin.com/in/suhyeon7
http://github.com/suhyeon729

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Ruchi Singh

   Office Location:
      Simpson Tower, CalStateLA

   Industrial Experience:  
      Intern of Data Analysis @ Disney, Los Angeles (Summer 2017)

   Research:  
      Big Data Analysis/Science:

• Big Data Analysis and Science in city of Los Angeles data using Hadoop (Hive, Pig), Spark ML, Azure ML and Adobe Connect
• Local Business data and customer reviews using Big Data Hadoop Hive, Pig in Cloud Computing: Data Bricks, IBM Bluemix/Data Science Experience, and MS Azure
• Use of Big data and analytics in K-12 US education in Cloud Computing: Data Bricks, IBM Bluemix/Data Science Experience, and MS Azure

Publications and Conferences:

• Singh, Ruchi; Ananth, Yashaswi; Woo, Jongwook, “Big Data Analysis of Local Business and Reviews”, in The 19^th International Conference on Electronic Commerce: ICEC 2017, Pangyo, Seongnam, Korea, August 17- 18, 2017
• Big Data Analysis of Local Business and Reviews Poster at WiDS (Women in Data Science), February 2017
• “Big Data Analysis of Local Business and Reviews”, The 25th Annual Student Symposium, Cal State LA, February 24^th 2017
• “Use of Big data and analytics in K-12 US education”, The 25th Annual Student Symposium, Cal State LA, February 24^th 2017
• Paricipated in "A Big Data Platform for Fast Implementation at Disney", February 22 2017

Contact Info: 

rsingh26 (AT) calstatela.edu

https://www.linkedin.com/in/ruchi-singh-68015945

https://github.com/rsingh26/DataScience

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Neha Gupta

   Office Location:
      Simpson Tower, CalStateLA

   Industrial Experience:  
      Intern of Data Analysis @ IT Strategist, Los Angeles (Summer 2018)

   Research:  
      Big Data Analysis/Science:

• Predictive Data Analysis and Fraud detection in Ad Tracking using Telecom Data with the help of Spark ML and Azure ML.

• Crime Pattern Analysis for Metropolitan cities (Los Angeles, New York, and Chicago) of United States using Hadoop, Hive, Pig, and Tableau.

• Written term paper of Microservices.

• Analyzing Housing Market data published by Zillow using Tableau.

Publications and Conferences:

• Crime Pattern Analysis using Hadoop Big Data Poster at WiDS (Women in Data Science), February 2018

Contact Info: 

ngupta8 (AT) calstatela.edu

https://www.linkedin.com/in/nehaguptacalstatela/

https://github.com/ngupta8

 

   Office Location:

      Simpson Tower, CalStateLA

   Industrial Experience:  

       7+ years of experience as Oracle ERP techno-functional analyst (Oracle Certified)

   Research:  

      Big Data Analysis/Science:

• Amazon Product Review Data Analysis using Hadoop and Hive.
• Predicting Amazon Rating using Spark ML and Azure ML.
• Supermarket analysis using R.
• Diabetic patient analysis in SAS visual studio.

Publications and Conferences:

• Monika Mishra, Jaydeep Chopde, Maitri Shah, Pankti Parikh, Rakshith Babu, Jongwook Woo, "Big Data Predictive Analysis of Amazon Product Review", The 14th Asia Pacific International Conference on Information Science and Technology (APIC-IST 2019), 06/23/2019, Beijing, China

• Amazon Product Review Data Analysis at WiDS (Women in Data Science), March 2019
• Predictive Analysis of Amazon Product Review at SWRC (South Western Regional Conference), April 2019

Contact Info: 

mmishra2 (AT) calstatela.edu

https://www.linkedin.com/in/monika-mishra-8b2a4115/

 https://github.com/monika2403/mmishra2

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Neha Gupta

   Office Location:
      Simpson Tower, CalStateLA

   Industrial Experience:  
      Intern of Data Analysis @ IT Strategist, Los Angeles (Summer 2018)

   Research:  
      Big Data Analysis/Science:

• Predictive Data Analysis and Fraud detection in Ad Tracking using Telecom Data with the help of Spark ML and Azure ML.

• Crime Pattern Analysis for Metropolitan cities (Los Angeles, New York, and Chicago) of United States using Hadoop, Hive, Pig, and Tableau.

• Written term paper of Microservices.

• Analyzing Housing Market data published by Zillow using Tableau.

Publications and Conferences:

• Crime Pattern Analysis using Hadoop Big Data Poster at WiDS (Women in Data Science), February 2018

Contact Info: 

ngupta8 (AT) calstatela.edu

https://www.linkedin.com/in/nehaguptacalstatela/

https://github.com/ngupta8

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Dhruvi Patel

   Office Location:
      Simpson Tower, CalStateLA

   Industrial Experience:  
      Software specialist at Eclinical works

   Research:  
      Big Data Analysis/Science:

• New York Yellow Taxi analysis using Hadoop and Hive QL.
• Outbrain Ad Prediction using Azure ML and Spark ML.

Publications and Conferences:

• TBA

Contact Info: 

dpatel86 (AT) calstatela.edu, dhruvip2109 (AT) gmail.com

https://www.linkedin.com/in/dhruvip/

https://github.com/Dpatel2109

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Shinde Shrdha

   Office Location:
      Simpson Tower, CalStateLA

   Industrial Experience:  
      2014 - 2019: Full stack/Sharepoint Developer at Atos, Tcs, L&T Infotech, Accenture

   Research:  
      Big Data Analysis/Science:

• New York Times(Online) analysis using Hadoop and Hive QL.
• Covid-19 cases and deaths Prediction using Azure ML and Spark ML

Publications and Conferences:

•  "Customer Reading Rate for Online New York Times Newspaper", Shradha Ashokrao Shinde, Bita Sadat Faraji Tabrizi, and Jay Joshi, WiDS (Women in Data Science) symposium, March 2, 2020, California State University Los Angeles

• Shradha Ashokrao Shinde, Bita Sadat Faraji Tabrizi, and Jay Joshi, "Customer Reading Rate for Online New York Times Newspaper", CalStateLA Symposium, February 28, 2020

   

Contact Info: 

sshinde6 (AT) calstatela.edu, shradha.shinde54 (AT) gmail.com

https://www.linkedin.com/in/shradha-shinde-a2415940/

https://github.com/shradha5410