Shravani Kurkute

I am an aspiring professional passionate about the fields of technology, machine learning, data ethics, and design. My journey has been shaped by diverse academic and professional experiences, ranging from developing machine learning models to enhancing user experiences through thoughtful design.

I have interned at CODSOFT, where I worked on impactful projects like "Movie Genre Classification," "Credit Card Fraud Detection," and "Spam SMS Detection," utilizing advanced machine learning techniques such as TF-IDF, Naive Bayes, and SVM. These experiences honed my skills in natural language processing, fraud detection, and data analysis.

In the realm of design, I have completed courses in UX Design, including "Foundations of User Experience (UX) Design" and "Start the UX Design Process: Empathize, Define, and Ideate," which reflect my interest in creating meaningful and user-centric solutions.

My academic pursuits also include a focus on data ethics, algorithmic bias, and privacy regulations, with a keen interest in balancing innovation with privacy and transparency.

I thrive in collaborative environments, demonstrated by my participation in the Smart India Hackathon (SIH) 2024, where my team ranked 32nd out of 250+ teams. We developed a scalable solution for quantifying carbon footprints in Indian coal mines, showcasing my commitment to sustainability and technological innovation.

Additionally, my roles as a campus ambassador for IIT Delhi's Rendezvous festival and a social entrepreneurship intern at Hamari Pahchan NGO reflect my proactive approach to leadership and community engagement.

Through projects like the "Health and Wellness Tracker" and "StudySwap," I continue to explore innovative solutions leveraging advanced algorithms and web development, while contributing to real-world problem-solving.