People

This 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, Professor & Director)
  • Dhwani Vaishnav (Graduate Student, Dept of Computer Information Systems, Cal State LA)
  • Hsiu-Ping Lin (Graduate Student, Dept of Computer Information Systems, Cal State LA)
  • Zalak Patel (Graduate Student, Dept of Computer Information Systems, Cal State LA)
  • Neelam Patidar (Graduate Student, Dept of Computer Information Systems, Cal State LA)

Alumni

 

Professor Jongwook Woo

Jongwook Woo, Big Data, HiPIC, Spark, Hadoop, Hive, Data Science, Big Data Artist

 

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

​

 Zalak Patel

Zalak Patel

  Office Location:
      Graduate Student, Simpson Tower, Cal State LA

   Industrial Experience:  

   Research:  
      Big Data Analysis/Science:

  • Big Data analysis for US College Net Price Prediction Comparing ML Regression Models using Hadoop and Pyspark on Oracle BDCE.

Publications and Conferences:

  •  Zalak Patel, Ayushi Porwal, Kajal Bhandare, Jongwook Woo, "US College Net Price Prediction Comparing ML Regression Models", June 12, 2024, https://arxiv.org/abs/2406.08071

Contact Info: 

​​

 Neelam Patidar

Neelam Patidar

 Office Location:
      Graduate Student, Simpson Tower, Cal State LA

 Industrial Experience:  

  •     2019 - 2022 : Key Account Manager @Cleartax       
  •     2022 – 2023: Business Analyst @BDO in India 

  Research:  
      Big Data Analysis/Science:

  • Big Data analysis on 33 types of cyberattacks, classified into 7 categories, within IoT environments comprising 105 devices. Utilized Hadoop and HiveQL on AWS and Oracle Big Data Cloud Service for efficient data processing and insights.

Publications and Conferences:

  • Neelam Patidar, Sally Zreiqat, Sirisha Mahesh, Jongwook Woo, “Cyberattack Data Analysis in IoT Environments” using Big Data, June 14, 2024 https://arxiv.org/abs/2406.10302

Contact Info:

​

 Dhwani Vaishnav

Dhwani Vaishnav

 Office Location:
      Graduate Student, Simpson Tower, Cal State LA

  Industrial Experience:  

  • 2019 - 2021 : Lead Product Engineer @ Harman International             
  • 2011 – 2019: Lead Test Automation Developer, Python @ ALSTOM

  Research:  
      Big Data Analysis/Science:

  • Big Data analysis for financial complaints of consumers registered on Consumer Financial Protection Bureau (CFPB) using Hadoop and HiveQL on AWS/Oracle BDCE.
  • Spatial analysis visualization on Microsoft Excel 3D Map and data visualization on Tableau.

Publications and Conferences:

  • Dhwani Vaishnav, Manimozhi Neethinayagam, Akanksha S Khaire, Mansi Vivekanand Dhoke, Jongwook Woo, "CFPB Consumer Complaints Analysis Using Hadoop", Oct 9 2023,  https://arxiv.org/abs/2310.06076

Contact Info:

​​

 Hsiu-Ping Lin

Hsiu-Ping Lin

 

   Office Location:
      Graduate Student, Simpson Tower, Cal State LA

   Industrial Experience:  
      2019 – 2023: Jih Sun International Bank Co., Ltd. 

   Research:  
      Big Data Analysis/Science:

  • Big Data analysis for Amazon Books Rating prediction using PySpark.

  • Iowa Liquor Sales data analysis using Hadoop and HiveQL.

     

Publications and Conferences:

  •  Hsiu-Ping Lin, Suman Chauhan, Yougender Chauhan, Nagender Chauhan, Jongwook Woo, "Amazon Books Rating prediction & Recommendation Model", Oct 4 2023,  https://arxiv.org/abs/2310.03200

Contact Info: 

hlin54 (AT) calstatela.edu

hsiuping01@gmail.com

https://www.linkedin.com/in/hsiu-ping-lin-910585192/ 

 
 

Visiting Scholar: Jo In Kang

Jo In Kang

Office Location:
      Simpson Tower, CalStateLA

   Industrial Experience:  
       2021 - July 2022: Visiting Scholar: BigDAI Center of California State University Los Angels 

       2020 - Present :  PhD Candidate of Media Processing Lab, Kwangwoon University

       2018 : Embedded Engineer as intern Using C Language and Android Studio(JAVA), PLEXENSE Inc. in South Korea

      2020: Python programming lecturer, Songyang High School in South Korea

    Research:  
      Deep Neural Network Analysis:

  • Deep Neural Network Analysis for efficient Depth Map Creation with Stereo Image of KITTI Dataset. Specifically focused on network light-weighting used by Edge Device.
  • Parallel computing analysis for realizing distributed processing Deep Neural Networks.

      Big Data Analysis:

  • Big Data analysis for Power semiconductor data using Hadoop File System, Spark cluster using PySpark.

Publications and Conferences:

  •  Efficient Depth Map Creation with A Lightweight Deep Neural Network to SCI-listed, MDPI electronic.
  • Event Processing- based Low-Power Low-Cost Wireless Sensor Network for Real Time Wildfire Monitoring, KCI-listed KIEE
  • A Light-weight stereo matching network for an embedded vision system, ICTC2020 International Conference. 

Contact Info: 

Kjikji956 (AT) gmail.com 

 

Yadav Savita

Yadav Savita

Office Location:
      Data and Reporting Analyst at ExcelMSO

   Industrial Experience:  
      2011 - 2017: Software Engineer with Java @ Vara, 3i InfoTech, Base Info, MicroRoot in India 

   Research:  
      Big Data Analysis/Science:

  • Big Data analysis for Used Car using Hadoop and HiveQL on Oracle BDCE. Spatial analysis visualization on Microsoft Excel 3D Map, data visualization on Tableau, and Microsoft Power BI.
  • Scalable Big Data Predictive Analysis for Airbnb Price and Rating using Azure ML, Spark cluster using PySpark, Spark ML on Databricks Enterprise Edition.

Publications and Conferences:

  •  TBA: Scalable Big Data Predictive Analysis of Airbnb Rating Classification

Contact Info: 

syadav5 (AT) calstatela.edu, msavi.yadav (AT) gmail.com

https://www.linkedin.com/in/savita-y-2a525a44/

https://github.com/SYSavy/

 

Jae Hoon Lee

Jae Hoon Lee

Office Location:
      Data Analyst  of American Honda Mortots (AHM)

   Industrial Experience:  

       2022  - : Data Analyst of American Honda Mortots (AHM)

      2014 - 2015: Assistant Systems Engineer at Tata Consultancy Services (TCS) 

   Research:  
      Big Data Analysis/Science:

  • Scalable Big Data analysis with COVID-19 cases and vaccination using Hadoop and HiveQL on Oracle BDCE.
  • Interactive COVID-19 Dashboard with Vaccination info using Tableau
  • Spatial analysis visualization on Microsoft Excel 3D Map, data visualization on Tableau.

Publications and Conferences:

  •  Jae Hoon Lee, Timothy Rochester, Riker Santivong, Wesam Farjo, Justin Licea, Jongwook Woo, "Covid-19 Analysis Using Scalable Big Data:The Correlation of  Vaccine and Confirmed Cases", 

    06/29/2021, bigdai-06292021, Report of BigDAI 

Contact Info: 

Jtrend.jay (AT) gmail.com

https://www.linkedin.com/in/jaehoon~lee/

https://github.com/abcbbong

 

Samyuktha Muralidharan

Shinde Shradha

Office Location:
      Analyst, Business Analytics (Applebee's) at Dine Brands Global

   Industrial Experience:  
      2021 - Present: Business Analyst @ Dine Brands Global

      2014 - 2015: Assistant Systems Engineer at Tata Consultancy Services (TCS) 

   Research:  
      Big Data Analysis/Science:

  • Analysis of Airbnb data using Hadoop and Hive QL on Oracle BDCE, providing insights on the seasonality in demand, distribution, revenue of various neighborhoods and supply- demand ratio of listings, visualizing data on Excel 3-D Maps and Tableau.
  • Scalable Predictive Analysis for Airbnb Price and Rating using Azure ML, Spark Computing Engine in Databricks and Hadoop/Spark cluster using PySpark, Scala, SparkML, Rapids, GPU.

Publications and Conferences:

  •  Samyuktha Muralidharan, Sanjana Boddireddy, Shilpa Konde Deshmukh "Big Data Analysis and Visualization of Airbnb Listings Dataset", 29th Annual Virtual Student Symposium on RSCA, CalStateLA, March 2021.

     

Contact Info: 

smurali2 (AT) calstatela.edu,  samyuktham1992 (AT) gmail.com 

https://www.linkedin.com/in/samyuktha-muralidharan-a5061b5a/ 

https://github.com/Samyuktha-M 

 

Dhruvi Patel

 

Dhruvi Patel

Office Location:
      Data Analyst & Visualization at Ally Lending

   Industrial Experience:  
      2021 - Present: Data Analyst & Visualization at Ally Lending

      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

Paul Ankita

 

Dhruvi Patel

Office Location:
      Simpson Tower, CalStateLA

   Industrial Experience:  
     3+ years of experience (As of Feb 2021) in data analysis in Publication industry and NGO sector.

     1 year experience as Research associate from Chennai Mathematical Institute, India.

   Research:  
      Big Data Analysis/Science:

  • Iowa Liquor Sales data analysis using Hadoop and HiveQL on Oracle BDCE, tempo-spatial analysis visualization on Microsoft Excel 3D Map and Microsoft Power BI, data visualization on Tableau.
  • Iowa Liquor Sales Data Predictive Analysis using Microsoft Azure ML and Spark ML.

Publications and Conferences:

  • TBA

Contact Info: 

apaul11 (AT) calstatela.edu, paulankita.88 (AT) gmail.com

https://www.linkedin.com/in/ankitapaul1988/

https://github.com/apaul11/

 

Shuvadeep Kundu

 

Shuvadeep Kundu

Office Location:
      Manager, Cisco Systems @ Los Angeles

   Industrial Experience:  
     2021 – Present: Manager, Cisco Systems @ Los Angeles

     2007 – 2021: Senior Technical Consultant, Cisco Systems @ Los Angeles

     2005-2007: Technical Associate, Mahindra British Telecom

     

   Research:  
      Big Data Analysis/Science:

  • Iowa Liquor Sales data analysis using Hadoop and HiveQL on Oracle BDCE, tempo-spatial analysis visualization on Microsoft Excel 3D Map and Microsoft Power BI, data visualization on Tableau.
  • Iowa Liquor Sales Data Predictive Analysis using Microsoft Azure ML and Spark ML.

Publications and Conferences:

  • TBA

Contact Info: 

skundu (AT) calstatela.edu, kundusdeep (AT) gmail.com

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

 

Mohsen Alam

 

Dhruvi Patel

Office Location:
      IT Analyst @ Avery Dennison

   Industrial Experience:  
     2021 - Present: IT Analyst @ Avery Dennison

     Los Angeles County – COVID-19 Contact Tracing Data Team; Children's Medical Services Web Administration

     Mt. San Antonio College – Information Systems Tutor

   Research:  
      Big Data Analysis/Science:

  • “Topic Modeling on Amazon Review Data” – Application of LDA to extract topics from Amazon review data to examine utilitarian and hedonic opinions influence on review helpfulness
  • “Hive on Yelp” – Analyses on Yelp features' performance over time, consumers written review sentiment, and consumer rating patterns in different regions using Hadoop and HiveQL
  • “Twitter and S&P 500” (in progress…) – Analysis on live Twitter data and historical stock market data using StreamSets, HiveQL, and Python

Publications and Conferences:

  • TBA

Contact Info: 

malam (AT) calstatela.edu, malam (AT) gmail.com

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

https://github.com/mohsenualam

 

Lunetto Randall

 

Lunetto Randall

Office Location:
      Growing eCommerce w/ AI @ DataMilk

   Industrial Experience:  
     2021 - : Growing eCommerce w/ AI @ DataMilk

     2018 - 2020: Special Projects – Sales @ Clutter

     2014 - 2017: General Manager @ YogaWorks

   Research:  
        Big Data Analysis/Science:

  • “Hive on Yelp” – Analyses on Yelp features' performance over time, consumers written review sentiment, and consumer rating patterns in different regions using Hadoop and HiveQL.
  • “Twitter and S&P 500” (in progress…) – Analysis on live Twitter data and historical stock market data using Hadoop, HiveQL, and Python with Twitter API and Yahoo Finance API.

Publications and Conferences:

  • TBA

Contact Info: 

RLunett (AT) calstatela.edu, RLunetto (AT) gmail.com
https://www.linkedin.com/in/randall-lunetto/
https://github.com/LunettoRandall

 

Shinde Shrdha

 

Shinde Shradha

Office Location:
      Data Engineer 3 @ Fandango

   Industrial Experience:  
      2022 - Present : Data Engineer 3 @ Fandango

      2021 -  2022: Big Data & NLP Analyst for Citibank @ InfoTech

      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

 

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, dalyapraz.m (AT) gmail.com
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:  
       2019 - Present: BI Developer, Gumgum.com @ Santa Monika

       2018 - 2019: 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:  
     Nov 2021 - Present: Lead, Data Analytics at DIRECTV

     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.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

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

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

Samyuktha Muralidharan

 

Shinde Shradha

Office Location:
      Simpson Tower, CalStateLA

   Industrial Experience:  
      2014 - 2015: Assistant Systems Engineer at Tata Consultancy Services (TCS) 

   Research:  
      Big Data Analysis/Science:

  • Analysis of Airbnb data using Hadoop and Hive QL on Oracle BDCE, providing insights on the seasonality in demand, distribution, revenue of various neighborhoods and supply- demand ratio of listings, visualizing data on Excel 3-D Maps and Tableau.
  • Scalable Predictive Analysis for Airbnb Price and Rating using Azure ML, Spark Computing Engine in Databricks and Hadoop/Spark cluster using PySpark, Scala, SparkML, Rapids, GPU.

Publications and Conferences:

  •  Samyuktha Muralidharan, Sanjana Boddireddy, Shilpa Konde Deshmukh "Big Data Analysis and Visualization of Airbnb Listings Dataset", 29th Annual Virtual Student Symposium on RSCA, CalStateLA, March 2021.

     

Contact Info: 

smurali2 AT calstatela.edu,  samyuktham1992 AT gmail.com 

https://www.linkedin.com/in/samyuktha-muralidharan-a5061b5a/ 

https://github.com/Samyuktha-M