  APOGEE and GALAH are two high resolution multi-object spectroscopic surveys
that provide fundamental stellar parameters and multiple elemental abundance
estimates for about half a million stars in the Milky Way. Both surveys observe
in different wavelength regimes and use different data reduction pipelines
leading to significant offsets and trends in stellar parameters and abundances
for the common stars observed in both surveys. Such systematic
differences/offsets in stellar parameters and abundances make it difficult to
effectively utilise them to investigate Galactic abundance trends in spite of
the unique advantage provided by their complementary sky coverage and different
Milky Way components they observe. Hence, we use the \textit{Cannon}
data-driven method selecting a training set of 4418 common stars observed by
both surveys. This enables the construction of two catalogues, one with the
APOGEE scaled and the other with the GALAH scaled stellar parameters. Using
repeat observations in APOGEE and GALAH, we find high precision in metallicity
(~ 0.02-0.4 dex) and alpha abundances (~ 0.02-0.03 dex) for spectra with good
signal-to-noise ratio (SNR > 80 for APOGEE, SNR > 40 for GALAH). We use open
and globular clusters to validate our parameter estimates and find small
scatter in metallicity (0.06 dex) and alpha abundances (0.03 dex) in APOGEE
scaled case. The final catalogues have been cross matched with the Gaia EDR3
catalogue to enable their use to carry out detailed chemo-dynamic studies of
the Milky Way from perspectives of APOGEE and GALAH.
