Background and Objectives Coronavirus disease 2019 (COVID-19), a global public health emergency of profound magnitude, has brought life to an unprecedented near-standstill. The clinical profile of the disease is still emerging and is marked by considerable geographical variability in terms of transmissibility, clinical profile, virulence, and mortality of the disease. As clinical data is being reported from around the globe, it becomes important to focus on local subjects in a global milieu, lest one misses the trees for the forest. Our study is a short retrospective analysis of the demographic and clinical profiles of subjects presenting with a mild flu-like illness to our hospital who were tested for COVID-19. It compares the differences in age and sex of those who tested positive with those negative. In addition, it reviews the length of time it might take for a case testing positive on reverse transcriptase-polymerase chain reaction (RT-PCR) test to become negative. Methodology A retrospective analysis of data from adults who presented to our hospital with a mild flu-like illness between the months of March and May 2020 was conducted to understand the disease profile. The nasal/oropharyngeal swabs were collected from each patient and were transported to state-approved laboratories chain for RT-PCR analysis. Information was collected from reports received, clinical information forms, and sample collection forms that were being maintained as a part of the clinical management protocol. Data were analysed using Stata software, version 13 (StataCorp LLC, College Station, TX, USA). Observations and Results Three thousand twenty-six subjects presented to our hospital with either mild flu-like symptoms or with suspected exposure to a confirmed case of COVID-19. The subjects had a mean age of 37.3 (± 15.1) years and 1,805 (60.3%) were males. A regression analysis revealed an adjusted odds of 1.6 (95% confidence interval (CI): 1.2, 2.1) for testing positive for males as compared to females. For every one year increase in age, the odds for testing positive increased by 1.02 (95% CI: 1.01, 1.03). Of the 2,592 individuals for whom data was available, 201 (7.6%) were found positive on RT-PCR 1, 2 2 2 2 3 4