Ranjita Das (Ph.D.)

Ranjita Das (Ph.D.) has a diverse range of work experience in scientific research and volunteer work. From 2017 to 2020, they worked as a Postdoctoral Fellow at the University of Houston, focusing on studying ground state destabilization and enzyme catalysis through computational modeling. Ranjita was also involved in interdisciplinary collaborations during this time.

In 2015 and 2016, they worked as a Postdoctoral Fellow at the Max Planck Institute for Chemical Energy Conversion, where they conducted computer-aided simulations to study the electronic structure of reaction intermediates, specifically focusing on biomimetic hydrogenase enzymes. Ranjita also had the opportunity to design research projects during this role.

From 2021 to 2022, they worked at KCAT ENZYMATIC PRIVATE LIMITED, first as a Research Scientist and later as a Scientist. It is not specified in the provided information what their specific responsibilities were in these roles.

More recently, starting in 2022, they joined Aganitha Cognitive Solutions as a Junior Scientist, but no specific details about their responsibilities or projects are given.

In addition to their research roles, Ranjita also volunteered at the American Red Cross Texas Gulf Coast Region from 2018 to 2019. Ranjita'sresponsibilities involved supporting the Volunteer Services team and guiding new volunteers through the intake process.

Overall, Ranjita Das (Ph.D.) has demonstrated a strong background in scientific research, particularly in enzyme catalysis and computational modeling. Ranjita has also been involved in interdisciplinary collaborations and has volunteer experience supporting the American Red Cross.

Ranjita Das (Ph.D.) completed their Doctor of Philosophy (Ph.D.) in Computational Chemistry, specifically in the field of Density Functional Theory, from the Indian Institute of Technology, Kharagpur. Ranjita attended the institution from 2009 to 2014. In addition to their Ph.D., they have obtained several certifications, including "How Google does Machine Learning" from Coursera in April 2021, "Reverse and complement nucleic acid sequences (DNA, RNA) using Python" from Coursera in March 2021, "Data Science Course" from Udemy in November 2019, and "RDS Trained Associate" from R&D Society in April 2019.