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avatar for Dr. Parveen Singh

Dr. Parveen Singh

Govt. SPMR COLLEGE OF COMMERCE
Dr.
Jammu
Associate Professor and Head, Department of Computer Science, Cluster University Jammu, for last 20 years.
Perused PhD (2015-2019) on UGC Teacher fellowship, as full time research Scholar at University of Jammu,
J&K , worked in the Area of Data mining ,on the topic “Analytic Study of Data Mining based model for
public Health Care Management”. Strong math background and 6+ years of experience in using
predictive modeling, data processing, and data mining algorithms to solve challenging medical
problems. Involved in Python open source community and passionate about deep reinforcement
learning. Recently awarded (April 2021) DST (Department of science and technology) project
titled “Creating a Dashboard of Survey on Usage of ICT and learning Management System
during Covid-19 Pandemic in colleges and Universities in UT of Jammu and Kashmir”.
EDUCATION
 Bachelor in Electronics ,Jammu university (1993-1996)
 Masters in Computer Sciences, Jammu University.(1996-1999)
 Mphil in Computer sciences Periyar University.(2008-2010)
 PhD in Computer sciences, Jammu University.(2015-2019)
EXPERIENCE
 (2000-2015) Worked as Assistant Professor in, Higher education Department, Department of Computer
Sciences.
 (2015-2019) Data Science researcher at University of Jammu, J&K, on UGC Fellowship
Awarded by University Grant Commission (UGC), worked in the Area of Data mining, on the
topic “Analytic Study of Data Mining based model for public Health Care Management”.
 Developed an algorithm in R to predict length of stay of patient in a Hospital.
 Expertise in IBM SPSS Modeller, a leading, visual data science and machine learning
Tool.
 Transformed raw data into MySQL with custom-made ETL application to prepare unruly
data for machine learning.
 Used Python to scrape, clean, and analyze large datasets.
 (2019-till date ) Working as Associate Professor in, Higher education Department, Department of Computer
Sciences.
Monday, July 26
 

TBA

8:00am PDT

11:00am PDT

 
Tuesday, July 27
 

8:00am PDT

9:00am PDT

 
Thursday, July 29
 

9:00pm PDT

 
Friday, July 30
 

2:00am PDT

7:00am PDT

12:00pm PDT

6:00pm PDT

 
Monday, August 2
 

1:00pm PDT

 
Thursday, August 5
 

8:00am PDT

2:00pm PDT

 
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