Machine Learning | Healthcare Analytics | Computer Vision

A Master's graduate in Electrical and Computer Engineering at the Johns Hopkins University, with a specialization in Machine Learning and Data Science. My journey in this field began during my undergraduate studies at Manipal Institute of Technology in the Electronics and Instrumentation department, where I focused on Medical Image Processing. This led me to pursue a minor in Computational Intelligence, along with internships at companies like Baker Hughes and ONGC.

As a data scientist at Althea.ai, I am developing innovative solutions to promote health equity and enhance the Star Ratings of U.S. health plans. I also work as a Research Assistant in the AI for Engineering and Medicine Lab (AIEM), my work is centered around bridging the gap between synthetic and real data using generative AI to improve image recognition tasks.

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Recent Work

Enhancing HEDIS Scores and Addressing Health Inequity through Machine Learning: A Geocoded Approach for Precision Health Interventions

Health Analytics ● Machine Learning ● Social Determinants of Health ● Patient Compliance ● Data Scraping ● Data Analysis ● Geocoding ● Python ● AWS Sagemaker ● DBeaver ● SQL

Addressing Food Insecurity and Chronic Conditions in the U.S. Through Machine Learning

Health Analytics ● Targeted Interventions ● Machine Learning ● Unsupervised Learning ● Choropleth Maps ● Python ● SQL

Synthetic-to-Real Unsupervised Domain Adaptation for Image and Video Classification

Computer Vision ● Generative AI ● Image Translation ● Style Transfer ● Domain Adaptation ● Stable Diffusion ● ControlNet ● VisDA-2017 ● Hugging Face ● PyTorch ● Diffusers ● Transformers ● OpenCV ● Python

Predicting Ejection Fraction using Segmentation guided Video Vision Transformers

Computer Vision ● Deep Learning ● Video Processing ● Image Segmentation ● Echocardiogram analysis ● DeepLabv3 ● ViVIT ● Echonet-Dynamic ● Hugging Face ● PyTorch ● Python

Defense Mechanisms against Adversarial Attacks in Computer Vision

Deep Learning ● Image Classification ● Adversarial Attacks ● Defense Strategies ● CNN ● CIFAR-10 ● PyTorch ● Python

Convolutional Auto-Encoder for Image Reconstruction and Denoising

Computer Vision ● Image Reconstruction ● Image Denoising ● Autoencoders ● CIFAR-10 ● PyTorch ● Python

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Get In Touch

I am passionate to move to industry to further my career as a Data Scientist/Data Analyst, while also harboring a keen interest in Machine Learning Engineer and AI Engineer roles. My goal is to apply the knowledge and skills I've acquired through my academic and research experiences in a practical, industry-focused setting. I am available for full-time roles starting July 2024. If you're interested in discussing potential opportunities or have any questions, feel free to reach out via email or connect with me on LinkedIn. I'm always open to engaging conversations and new collaborations :)