Sudeshna Bose

Data-driven Analyst with two years of experience specializing in data cleaning and analysis to enhance operational performance. Skilled in SQL, Python, and statistical methodologies, with a proven track record of transforming raw data into actionable insights. Adept at data visualization, cleansing, and supporting strategic decision-making through comprehensive analysis. Recognized for strong problem-solving, analytical thinking, and effective communication skills.

Master Thesis on Automated Estimation of Injury in Medical Images:                                                      IIT Kharagpur
Key Result Areas:
 Applied different methodologies to detect lesions from Covid affected CT images of Lungs.
 Utilized GLCM on images to generate scatter plots for analysis.
 Conducted Coarse Lung Segmentation and Modified Convexity Hull Algorithm on CT images.
 Implemented Supervised and Unsupervised learning techniques to differentiate healthy and unhealthy lung regions.

A* Algorithm For Path Planning

Key Result Areas:
 Built a website facilitating radiologists to manage patient appointments and payments.
 Developed an Audio Video Consultation Platform for remote medical consultations.
 Created an Image classifier to automatically detect medical conditions from images, aiding doctors in diagnosis.