Nikhil Garg
Biographic Data
| ID | 8942761 |
|---|---|
| NAME | Nikhil Garg |
| GIVEN NAMES | Nikhil |
| FAMILY NAME | Garg |
| SIGNATURE | GARG N |
| AFFILIATIONS | Stanford University |
| ORCID | 0000-0002-9210-2826 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Comparative Analysis of Marketing Approaches for Perishable and Non-Perishable Agricultural Products in Meerut, Uttar Pradesh
Farming in the Meerut district, Uttar Pradesh is a very important component of rural life and economy of the area. Marketing of agricultural produce varies vastly, whether the product is perishable, i.e., a fruit, vegetables, and milk, or non-perishable i.e., wheat, rice, pulses and mustard. The paper is a comparative analysis of the marketing policies used in the two categories. The aims are to find out the main strategies, to compare them with …
Markets for public decision-making
Decoding the Great Indian Recapitalisation Plan
Indian government has infused `250,000 million in the year 2016 and 2017 followed by `100,000 million within the year 2018 and 2019 with an inspiration of reducing the non-performing assets (NPAs) levels of public sector banks (PSBs). Figuring among the top 20 banks with the highest gross non-performing asset (GNPA) ratios, according to CARE Ratings’ analysis of the first quarter results of 38 banks, PSBs are more stressed than their private sect…
Word embeddings quantify 100 years of gender and ethnic stereotypes
Significance Word embeddings are a popular machine-learning method that represents each English word by a vector, such that the geometry between these vectors captures semantic relations between the corresponding words. We demonstrate that word embeddings can be used as a powerful tool to quantify historical trends and social change. As specific applications, we develop metrics based on word embeddings to characterize how gender stereotypes and a…
No prominent works on this page.
Word embeddings quantify 100 years of gender and ethnic stereotypes
Significance Word embeddings are a popular machine-learning method that represents each English word by a vector, such that the geometry between these vectors captures semantic relations between the corresponding words. We demonstrate that word embeddings can be used as a powerful tool to quantify historical trends and social change. As specific applications, we develop metrics based on word embeddings to characterize how gender stereotypes and a…
Decoding the Great Indian Recapitalisation Plan
Indian government has infused `250,000 million in the year 2016 and 2017 followed by `100,000 million within the year 2018 and 2019 with an inspiration of reducing the non-performing assets (NPAs) levels of public sector banks (PSBs). Figuring among the top 20 banks with the highest gross non-performing asset (GNPA) ratios, according to CARE Ratings’ analysis of the first quarter results of 38 banks, PSBs are more stressed than their private sect…
Markets for public decision-making
Comparative Analysis of Marketing Approaches for Perishable and Non-Perishable Agricultural Products in Meerut, Uttar Pradesh
Farming in the Meerut district, Uttar Pradesh is a very important component of rural life and economy of the area. Marketing of agricultural produce varies vastly, whether the product is perishable, i.e., a fruit, vegetables, and milk, or non-perishable i.e., wheat, rice, pulses and mustard. The paper is a comparative analysis of the marketing policies used in the two categories. The aims are to find out the main strategies, to compare them with …
Computer Science (3 works) · Economics (2 works) · Geography (2 works) · Agricultural Economics and Practices (1 work) · Agricultural marketing (1 work) · Agriculture (1 work) · Anthropology (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Auction Theory and Applications (1 work)