  In this article, we introduce an innovative parametric representation of the
Hubble parameter, providing a model-independent means to explore the dynamics
of an accelerating cosmos. The model's parameters are rigorously constrained
through a Markov Chain Monte Carlo (MCMC) approach, leveraging a comprehensive
dataset consisting of 31 data points from cosmic chronometers (CC), 1701
updated observations of Pantheon supernovae type Ia (SNeIa), and 6 data points
from baryonic acoustic oscillations (BAO). Our analysis delves into the
behavior of various cosmological parameters within the model, including the
transition from a decelerating phase to an accelerating one, as well as the
density parameters and the equation of state (EoS) parameter. The outcomes of
our investigation reveal that the equation of state parameter aligns with
characteristics reminiscent of the phantom model, supporting the prevailing
understanding of our universe's current state of acceleration. This research
contributes valuable insights into the ongoing cosmic expansion and underscores
the utility of our novel parametric approach.
