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As a Data Scientist with a strong foundation in data analysis, predictive modeling, and machine learning, I transform complex data into actionable insights that drive business growth.
Over the past year, I've collaborated with teams across various sectors, from tech startups to established corporations. I’m passionate about transforming raw data into insights that empower decision-making and fuel business growth. By leveraging predictive modeling, machine learning, and data analysis, I strive to craft data-driven solutions that not only solve complex problems but also bring value and efficiency to organizations.
"Strategizing Data-Driven Solutions for Insightful Analysis and Impactful Development."
"Turning Data into Clarity: Insightful Analysis for Informed Decision-Making."
"From Insight to Implementation: Driving Development through Strategic Analysis and Data-Driven Solutions."
Thesis Paper
Breast cancer is the most common invasive cancer for women. It is the second major cause of cancer that causes death after lung cancer in women. This paper portrays an on-body microstrip patch rectangular antenna, which is found to operate at ISM-Industrial, Scientific and Medical band of 2.4–2.4835 GHz after placing it on the surface of the human breast, designed in the CST microwave studio to specify the tumor in narrow bandwidth. Being highly flexible, FR4 is selected as a substrate, and copper is selected for both ground and patch. To guarantee the safety of the patient, a human breast phantom is constructed consisting of two layers- skin and glandular tissue. The tumor is positioned at different locations on the breast phantom model to ensure the efficiency of the device. The S11 value without tumor is −49.405 dB and the voltage standing wave ratio is 1.0067957. Specific absorption rate is 1.18, total efficiency is −6.846 dB and radiation efficiency is −6.846 dB. To make the device biocompatible, all these parameters are experimented by comparing the cancerous tumor’s location and without the cancerous tumor.
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