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I am Amogh Ramagiri

Name: Amogh Ramagiri

Profile: Data Scientist

Email: amoghgr64@gmail.com

Skills

Python | Flask | Firebase 100%

C | Machine Learning | Deep Learning 90%

MySql | Scikit-learn | TensorFlow 75%

MongoDB | PowerBI | OpenCV 55%

About me

This is Amogh and I have a strong analytical mindset and a flair for visual storytelling, I am a Data Scientist who specializes in turning complex datasets into clear, compelling narratives. I have developed a profound expertise in machine learning and Artificial Intelligence. My academic background in computer science and Artificial Intelligence provided me with a solid foundation, which I have built upon with hands-on experience in predictive modeling, natural language processing, and deep learning.

I am adept at translating data insights into strategic business initiatives, having worked with both startups and research institutes. My focus is on developing algorithms that not only predict trends but also drive actionable business decisions.

I have led projects that resulted in a 25% increase in operational efficiency and a 15% growth in customer engagement through targeted data-driven strategies. I am a lifelong learner, constantly exploring new visualization techniques and analytics platforms to stay ahead of the curve. My aim is to empower organizations to make data-informed decisions that drive success and innovation.

Resume

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Education

Master of Science in Data Science

Aug 2024 - Present

The George Washington University, DC

Currently in my first smester courses studying Intro to Data Science, Intro to Data mining, and Data warehousing

Bachelor of Technology

Sept, 2020 - May, 2024

Presidency University, Bangalore, India

Pursued B.Tech in Computer Science and Engineering (Specialized in Artificial Intelligence and Machine Learning) with GPA of 8.27/10

Publications

Image Classification for Optimised Prediction of Leukemia Cancer Cells using Machine Learning and Deep Learning Techniques

Researched and proposed LDSVM (LR + DT + SVM) has more effective model for Image classification. Published in IEEE Conference at Graphic Era Hill University (ICIDCA), April 2023

Professional Experience

Research Intern

Sept 2023 - March 2024

National Changhua University of Education, Taiwan

Successfully performed feature fusion on voice and face feature extraction, creating a cutting-edge multi-modal biometric authentication system.
Played a pivotal role in optimising the recognition system by fine-tuning deep learning model, resulting in a 20% reduction in false positives and enhancing overall system reliability.
Optimized resource allocation and data pipeline efficiency, resulting in a 30% reduction in processing time.

Web-Developer Intern

Jun 2022 - Aug 2022

Wodo, India

Led multiple front-end development projects, ensuring seamless and visually appealing UX.
Leveraged Python with flask to develop robust backend solutions for website functionality.
Developed ML model, obtained 96% accuracy for sales prediction and employed PowerBI to visualize sales trends and pattern recognition, resulting in a 15% increase in revenue.