Tanya Garg
Bharati Vidyapeeth, Oracle India Private Limited, Guru Gobind Singh Indraprastha University, Indus Valley Partners
About
Ms. Tanya Garg is a Research Scholar at Faculty of Computer Applications, Bharati Vidyapeeth’s Institute of Management and Research, Bharati Vidyapeeth (deemed to be University), New Delhi, India. She is currently working as an Assistant Professor, Bharati Vidyapeeth’s Institute of Computer Applications and Management, New Delhi, India for the past 7 years. She has an additional 3 years of corporate work experience. She completed her BCA, MCA from Guru Gobind Singh Indraprastha University, New Delhi and is a University Gold Medalist for her MCA, Class of 2014. Her research interests include Machine Learning and Data Science.
Employment
-
Bharati Vidyapeeth Assistant Professor2016 - 2023
-
Oracle India Private Limited Application Developer2016 - 2016
-
Indus Valley Partners Software Developer2014 - 2016
Education
-
Bharati Vidyapeeth Doctor of Philosophy2019 - Present
-
Guru Gobind Singh Indraprastha University Masters of Computer Applications2011 - 2014
-
Guru Gobind Singh Indraprastha University Bachelor of Computer Applications2008 - 2011
Projects & Funding
Projects & funding information is unavailable.
Publications (12)
- Evaluation of Statistical models for timeseries data forecasting Save
- A Novel GRU Based Encoder-Decoder Model (GRUED) Using Inverse Distance Weighted Interpolation for Air Quality Forecasting Save
- Artificial Intelligence to the Rescue of Air Pollution Problem- Forecasting, Alternatives and Measures Save
- Artificial Intelligence to the Rescue of Air Pollution Problem- Forecasting, Alternatives and Measures Save
- An Empirical Analysis of Machine Learning Models for Developing a Custom Air Quality Forecaster Save
- Deep text summarization to facilitate online assessment and evaluation Save
- Technological advances for the Air Pollution menace of Delhi- A comprehensive study Save
- A study of spatial and temporal data mining applications Save
- Novel framework for handwritten digit recognition through neural networks Save
- An adaptive study of advances in Machine Learning Save