People

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

Alumni

 


Professor Jongwook Woo

Jongwook Woo, HiPIC, Big Data

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


Shinde Shrdha

Shinde Shradha   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

 

Dhruvi Patel

Dhruvi Patel   Office Location:
      Simpson Tower, CalStateLA

   Industrial Experience:  
      2018 - 2019: 
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


Neha Gupta

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:

Contact Info: 

ngupta8 (AT) calstatela.edu

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

https://github.com/ngupta8

 

Dalyapraz Dauletbak

Monika Mishra   Office Location:

      School of Information, Indiana University

   Industrial Experience:  

  •        PhD Student, Indiana University
  •        Community Manager at IDEAS (International Data Engineering and Science Association)
  •        Financial Data Analysis and Financial Management Consulting at KPMG Central Asia  (2015 - 2018)

   Research:  

Big Data Analysis/Science:

  • Traffic Data Analysis using Hadoop and Hive
  • Traffic jam Prediction using Big Data, Spark ML and Azure ML.
  • Measuring cyber security awareness using Twitter Sentiment Analysis

Publications and Conferences:

  • Dalyapraz Dauletbak and Jongwook Woo, "Traffic Data Analysis and Prediction using Big Data", The 14th Asia Pacific International Conference on Information Science and Technology (APIC-IST 2019), 06/23/2019, Beijing, China
  • "Waze Traffic Data Analysis and Prediction using Big Data" at SWRC (South Western Regional Conference), April 2019
  • "Waze Traffic Patterns in LA County", Third Stanford WiDS (Women in Data Science) Local Conference at CSULA, March 2019
  • "Waze Traffic Patterns in LA County", 27th Annual Student Symposium on Research, Scholarship, and Creative Activities at California State University of Los Angeles, February 2019
  • "Measuring Awareness of Cloud Security Threats: A Twitter Sentiment Analysis", 27th Annual Student Symposium on Research, Scholarship, and Creative Activities at California State University of Los Angeles, February 2019
  • "Measuring Awareness of Cloud Security Threats: A Twitter Sentiment Analysis", Cyber Security & Awareness Competition at Cal Poly Pomona, October 2019

Contact Info: 

dmanato (AT) calstatela.edu
https://www.linkedin.com/in/dalyapraz/
https://github.com/dalyapraz


Monika Mishra

Monika Mishra   Office Location:

      Glendale, Kaiser

   Industrial Experience:  

       BI Developer-Full Stack @ Kaiser

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


 

Ruchi Singh

Ruchi Singh   Office Location:
      BI Developer, Gumgum.com @ Santa Monika

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

   Research:  
      Big Data Analysis/Science:

  • Snowflake, Redshift, Looker
  • 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 19th 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 24th 2017
  • “Use of Big data and analytics in K-12 US education”, The 25th Annual Student Symposium, Cal State LA, February 24th 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


Priyanka Purushu

Purushu, Priyanka  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/

 

Kunal Pritwani

Pritwani, Kunal  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:

Contact Info: 

kpritwa (AT) calstatela.edu

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

https://github.com/pritwanikunal


Manvi Chandra

Manvi Chandra

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

  Research:  
     Data Analyst at Rapp

Publications and Conferences:

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


Priyanka Kale

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

Priyal Nimesh Mistry

Priyal Nimesh Mistry

Office Location:
Simpson Tower, CalStateLA

Research:  
Big Data Analysis:

  • Sentiment Data Analysis
Publications and Talks:

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

 


Ram Dharan Donda

Ram Dharan Donda

Office Location:
Simpson Tower, CalStateLA

Research:  
Big Data Analysis:

  • Crime Rate and Business Data Analysis in Los Angeles
Publications and Talks:

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


Apekshit Bhingardive

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:

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


Shahbaz Maner

Shahbaz Maner

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

Research:  
Big Data Analysis: Traffic Violation Dataset  airline data analysis

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


Pooja Sarang

Pooja Sarang

Office Location:  
Simpson Tower, CalStateLA

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


Piyush Pradip Giri

Piyush Pradip Giri

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

Research:  
Big Data Analysis: Criminal 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


Nillohit Bhattacharya

Nillohit Bhattacharya

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

Research:  
Big Data Analysis:

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


Jay Pareshkumar Mehta

Jay Pareshkumar Mehta

Office Location:  
Simpson Tower, CalStateLA

Research:  
Big Data Analysis: Historical Stock Data  NYSE stock

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

 


HyeKyung Ryu

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


Suhyeon Oh

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

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 19th 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 24th 2017
  • “Use of Big data and analytics in K-12 US education”, The 25th Annual Student Symposium, Cal State LA, February 24th 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


Neha Gupta

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:

Contact Info: 

ngupta8 (AT) calstatela.edu

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

https://github.com/ngupta8

 

Monika Mishra   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


Neha Gupta

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:

Contact Info: 

ngupta8 (AT) calstatela.edu

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

https://github.com/ngupta8

 

Dhruvi Patel

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