Thank you for visiting my profile. I am an enthusiastic Data Scientist and Machine Learning Developer with creative problem-solving skills, aptitude for innovation, and academic experience. I have recently graduated from Georgia Institute of Technology with a Master of Science in Computer Science with specialization in Machine Learning. Below are some of the projects that I have worked on during my academics.
Chest X-ray Disease Diagnosis: Implemented neural network using SegNet to predict & classify patients with 15 different diseases using x-ray Images.
Patient Information Portal: Developed a web application that communicates with the FHIR server to get patient’s data and predicts the likelihood of the suffering from heart disease using machine learning algorithms
NYC Yellow & Green Taxi Analysis: Developed visualizations using Tableau for NYC’s yellow & green taxi data and experimented different machine learning algorithms using Python and Libraries like Pandas, Numpy, Scikit-Learn, and Seaborn to predict average revenue for drivers and average trip cost for customer
Stock Market Trading: Implemented Q-learning based algorithm to predict the Buy & Sell alerts by leveraging trading indicators
Network Security: Implemented Machine Learning algorithm to differentiate between malicious and legitimate network traffic
Medicare Data Analyses: Implemented Tableau solution to gain insights of Drug usage and Diseases analysis of the beneficiary. URL: [login to view URL]
Lawn Mower: Implemented simulator for lawn mower using machine learning algorithm to optimally mow the lawn in the provided lawn map which contains obstacles to challenge the mower agent
Apart from Data Analysis and Machine Learning, I have over 7 years of experience working in the field of DevOps. I have specialized hand on experience with developing and supporting end-to-end pipelines to automate the build and deployment process for any application. I have also gained hands-on experience building Infrastructure automation and Monitoring dashboards for very large scale companies.
Grafana, Power BI, Tableau, QuickSight, Kibana
Machine Learning Algorithms:
Supervised, Unsupervised, Reinforcement Learning
Frameworks & Libraries:
Scikit-learn, Keras, Seaborn, Tensorflow, Numpy, Pandas, Matplotlib, PyTorch, TensorFlow, Azure ML, H2O, .Net Core MVC, Angular JS, Bootstrap, Jquery, Flask, Django, Microsoft ChatBot, Node JS, Matplotlib
[login to view URL], [login to view URL], Scrapy, telgraf, Metricbeat
SQL, No SQL, TimeSeries
Jenkins, SonarQube, Nexus, Azure DevOps, GitHub, Openshift, Google Cloud Platform, Amazon Web Services, Prometheus, Elastic Search, Influx, Ansible, N8N, WordPress, Wix, Kube Flow
Looking forward to working with you on your projects.