DEBASISH MOHANTY

Integrated Masters in Material Science
CIPET-IPT, BBSR, India

5 years of learning on material development and characterization.

Comprehensive Machine Learning Pipeline for Prediction of Power Conversion Efficiency in Perovskite Solar Cells
ADVANCED THEORY AND SIMULATIONS

https://onlinelibrary.wiley.com/doi/10.1002/adts.202300309

StartHire

The primary objective of this project was to create an integrated web platform that facilitates the connection between startups and students based on their specific skills and qualifications.While employed at AIC-Nalanda, I collaborated with an intern to develop a website that enhances communication and collaboration between students and startups.

PCE regression ML model development and deployment

Regression models utilizing classical machine learning techniques such as XG-Boost, TabNet, Multi-Level- Perceptron, Ridge, and Lasso were employed to prognosticate the efficiency of perovskite solar cells by leveraging empirical data. To enable the deployment, a website was created using ReactJS, ThreeJs, and FastAPI, and subsequently hosted on an AWS EC2 instance.

Essensia

Website development for a startup organization with various e-commerce functionality using wix builder. Essencia Institute is an educational institute, set up by three eminent researchers, who are interested in developing skills to germinate the seed of knowledge to the next generation. The website serves advanced science courses, consultations, and discussion forums for ease of researchers and students. This organization also provides guidance for advanced projects and mentoring.

Stability Assessment in Metal Halide Perovskite with Incorporation of Organic Additives

In this undertaking, I endeavored to enhance the stabilization of the perovskite stratum in the context of its application to solar cells. Various methodologies were implemented to confer moisture resistance and impede the degradation of the deposited layer.

Web Automation for automated journal retrieval from corresponding sources

This undertaking was focused on the development of an automation script designed to facilitate the retrieval of scientific articles from SCI-HUB via utilization of selenium-python. The script was engineered to enable the acquisition of a designated quantity of research papers across multiple queries. The project employs web scraping as a mechanism for processing web data and retrieving the desired elements as specified by the programmed instructions

LC50 Value Regressor

Lethal Consumption (50%) (LC-50) is a crucial chemical parameter that requires realtime monitoring for ecological wellbeing. I developed a ML model which uses different regression algorithms to determine the LC50 using various molecular descriptors.Lethal Consumption (50%) (LC-50) is a crucial chemical parameter that requires realtime monitoring for ecological wellbeing. I developed a ML model which uses different regression algorithms to determine the LC50 using various molecular descriptors.

Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs

Natural Language Processing: Machine Learning NLP In Python

Machine Learning Practical: 6 Real-World Applications

Python

Data Processing Specialist

Software Development Trainee