Satyapir Ghosh
Software Developer
Jhargram, WB
satyapirgcetts@gmail.com
6290133075
Skills
Python
javascript
MySQL
Node Js
Languages
Bengali
Hindi
English
Work Experience
Front End Developer / IIT Kharagpur
Sep 2023 - Current
• Developed an immersive website for IIT Kharagpur’s SSBL Lab,
focusing on pioneering research and enhancing collaboration and
visibility within academic and broader communities. Integrated
user-friendly design, dynamic elements, and interactive features
to boost engagement and attract new students.
• Achieved a notable 40% increase in website engagement,
amplifying impact and garnering increased attention in academic
circles. This led to enhanced collaboration and dissemination of
research findings, contributing significantly to the lab’s
recognition and success.
• Implemented SEO best practices to improve the website’s
visibility and search engine ranking. Continuously monitored and
optimized performance to ensure an optimal user experience.
Web Link
Python Developer / EC IIT Kharagpur
July 2022 - Sep 2023
• Developed a project focused on addressing plastic pollution
through the study of microbial degradation of plastics in the
bovine gut, showcasing a commitment to environmental
sustainability and innovative problem-solving
• Implemented strategies to significantly enhance the speed and
efficiency of the Python-based interaction network analysis
tool, reducing processing time and improving overall performance
by 20%.
• Utilized pandas for efficient data structuring and
manipulation, coupled with Matplotlib to create insightful
visualizations of complex microbe-metabolite interactions in
bovine gut microbiota. Integrated advanced plotting
functionalities to produce visually compelling representations,
empowering researchers to gain deeper insights into microbial
community dynamics.
• Implemented industry best practices in code organization,
documentation, and optimization techniques to enhance the
clarity, readability, and user experience of the project.
Resulted in improved collaboration, future maintenance, and
accessibility for researchers and practitioners
Project Assistant / SRIC IIT Kharagpur
Aug 2021 - jun 2022
• Designed and executed a cutting-edge project aimed at
predicting cancer types through diagnostic image analysis,
demonstrating a dedication to advancing medical diagnostics and
improving patient outcomes.
• Implemented transfer learning and ensemble techniques using
pre-trained VGG and ResNet models to classify cancer types.
Utilized image data manipulation techniques, including data
augmentation, cropping, and resizing, with TensorFlow to
optimize model performance on a reduced dataset of 400 images,
classifying them into 4 types with 100 images for each type.
• Implemented features to enhance accuracy and efficiency in
cancer diagnosis, resulting in significant improvements upon
deployment of the solutions.
• Successfully deployed solution, leading to significant
improvement from 83.2% to 84.1% in early detection rates and
patient outcomes.
Education
Govt.College of Engineering and Textile Technology, Sherampore
2015 - 2019
Bachelor Degree