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followers: 8.0 following: 33.0 repos: 34.0 gists: 0.0

Name: Sri Balaji Muruganandam

Type: User

Company: University at Buffalo

Bio: Turning data into usable, meaningful insights

Twitter: iSriBalaji

Location: Buffalo, New York

Blog: https://isribalaji.in/

Hello, I'm Sri Balaji

Master's Student • University at Buffalo • Data Science

Playing with data, one byte at a time, as a Data Engineer at Resultant. Building data pipelines and data infrastructure for Colarado state healthcare system(CDPHE).
Armed with a Master's in Data Science😉 from the acclaimed University at Buffalo, The State University of New York.
Curated a triumph at the Morgan Stanley Hackathon with Atlanta Mission . Built a social engagement platform that deciphers sentiments, one post at a time.
Hailed as a "Best Team" awardee for Vodafone Nucleus during a year-long journey as a Data Engineer at TCS. Navigating the Vodafone Nucleus Project with ideas and innovation.
Spent a summer with Fellowship.AI, igniting Machine Learning marvels specifically on the language models.

Fun facts:

I love crafting mobile, web, and desktop applications for small applications.
I learnt to skate within a few days during my Fall Semester. Will share some of the pics on Twitter where I am active
Lost in the riveting world of Machine Learning and AI blogs. An ardent follower of ML and Deeplearning luminaries - Yann LeCun, Geoffrey Hinton, Andrew NG, and Andrej Karpathy//
An active volunteer of Buffalo's startup community for its events, networking with visionaries, competing, and soaking up skills.
Between code lines, I dive into books: "Lean Startup," "Trailblazer," "Happiest Man on Earth," and more. Exploring diverse worlds, one page at a time.

👀 Dive Deeper into My Journey:

🌐 isribalaji.in

Cloud Certifications

Certified Google Cloud Professional Database Engineer
Certified AWS Cloud Practioner
Certified Google Cloud Professional Data Engineer

Let's Connect and Explore Together:

Sri Balaji Muruganandam's Projects

aaamlp_notes

This is the notes and code summarized from the book Approching Almost Any Machine Learning Problem by 4x Grandmaster Abhishek Thakur

aws

Developing a simple Web application that takes images and detect whether it contains inappropriate content using AWS S3, Lambda Function and Image Rekognition

callodineblog

A Microblogging site build on Django framework.

clinicon-medical-assistant

A device which will help the people who literally have no idea over the diseases which they are exposed to and the hard-to-reach areas which are still reported with the absence of medical personnel

clustering-demographic-data-using-a-classification-tree

Cluster the demographic data of Table 14.1 using a classification tree. Specifically, generate a reference sample the same size as the training set, by randomly permuting the values within each feature. Build a classification tree to the training sample (class 1) and the reference sample (class 0) and describe the terminal nodes having highest estimated class 1 probability.