“Let us have faith that right makes might; and in that faith let us, to the end, dare to do our duty as we understand it.” - Abraham Lincoln

About Me

Hi! I am Prashik, a student at Indian Institute of Technology, Bombay currently completing my masters degree. I am passionate about computer science and its applications in chemistry, with a particular focus on using machine learning to aid catalyst discovery. You can often find me in one of the labs at the IIT Bombay CSE Department, where I engage in discussions and collaborate on innovative projects in this exciting field.

Apart from this, I’ve had stints with competetive programming and software development.

Hit me up if you’ve got a cool idea regarding any of those and wish to collaborate!

Email:prashik.iitb@gmail.com

Present

Past

Under the mentorship of Prof. Ive Hermans, our project harnessed machine learning to revolutionize the screening of chemical compounds, achieving a remarkable 70% reduction in processing time. We meticulously curated a comprehensive dataset, encompassing over 50 features of catalysts, derived from an extensive review of more than 200 research papers. Utilizing SQL, we adeptly cleaned and filtered the raw data, ensuring precision and reliability. This innovative approach not only accelerated the research process but also set a new benchmark in the field of chemical compound analysis.

In my role as an Associate, I collaborated with the Data Engineering team to enhance the performance of AWS frameworks, achieving a 60% reduction in processing time. Additionally, I developed Data Quality Management services and conducted a proof of concept (POC) to minimize the cost of cloud resources used in these frameworks. This experience not only optimized system efficiency but also demonstrated significant cost savings in cloud resource management.

As a Research Assistant, I collaborated with Prof. Sumeet Kumar on the “YouTube Parental Control” project, developing a kid-friendly Android app. I also created a YouTube video transcript database to segregate educationally rich content through sentiment analysis, ensuring a safe and enriching viewing experience for children.

As a Research Assistant under Prof. Ashish Galande, I contributed to the project “Effect of Social Distancing Promotion Campaigns on Brand Value.” I utilized POS tagging, Regex, BeautifulSoup, and other NLP techniques to perform sentiment analysis on Twitter data, providing valuable insights into the impact of these campaigns on brand perception.

Future

Random

Social

  1. Twitter
  2. LinkedIn

Publications

Hopefully coming soon!


With love ❤️ by Hotshott