Hey there!
I'm Madhav Somanath, an AI/ML enthusiast with full-stack development skills focused on bringing keen insights & value to business solutions.
Get in touch madhav.somanath@gmail.com
I'm currently a student at GECB, Trivandrum building things from the new knowledge I aquire everyday. Undergoing certification from IBM and ASAP Kerala, a one year long course in AI/ML Engineering. Having finished my summer internship from VSSC, ISRO, and a four year long volunteering journey with IEEE and IEEE Computer Society, I'm looking forward to new and exciting journeys ahead.
As a data science enthusiast with machine learning / deep learning skillset, I enjoy building solutions which bring insight from deep analysis of the problem and all its parameters, which after properly studying I use my full-stack development skill to visualize and communicate these insights in a comprehensive and intuitive manner to all involved, making for a well crafted experience.
When I'm not in front of a computer screen, I'm probably jamming on my guitar or penning down ideas for my next big plan to explore and travel.
- Python
- SQL
- JavaScript
- TypeScript
- HTML
- CSS/Sass
- R
- Keras
- Tensorflow 2.x
- Scikit-Learn
- Node.js
- Flask
- Django
- React.js
- D3.js
- Git & Github
- MongoDB
- Visual Studio
- LaTeX
- Adobe Creative Suite
- Colab
- Azure
- AWS
- Google Cloud
- IBM Cloud
Tensorflow based Music MIDI generator using LSTM trained based on my favorite childhood anime and video game songs.
Designed and Developed the official website for Aagneya, the techno-cultural fest of Government Engineering College, Trivandrum.
Time series machine learning model based on lasso regression and LSTM (Tensorflow), made into a web-app with Streamlit and hosted on Heroku.
A broswer based visualizer for the popular clustering technique in machine learning known as K-Means Clustering.
Mini Project based on exploring trends shown across the world for cases of COVID-19, and visualizing it.
Using clustering and dimentionality reduction techniques, classifying customers from real world data. Part of Udacity Machine Leanring with Tensorflow Nanodegree course (Unsupervised learning).
Using Tensorflow 2.x to identify and classify images based on the MNIST dataset. Part of Udacity Machine Leanring with Tensorflow Nanodegree course (Deep learning).
A project undertaking topics such as regression, SVM, K nearest neighbors, Decision Trees etc. Part of Udacity Machine Leanring with Tensorflow Nanodegree course (Supervised learning).
The official website for Government Engineering College, Trivandrums' Techno-Cultural fest Aagneya in the year of 2019.
An auto updating expense tracker made with React.js and Context API, built with support for future backend database.
Implementation of a tracker for a URL shortener which handles event registration links of Aagneya'20 by shortening the URL and keeping a count of the click rate through to the shortened URL.
A basic one octave piano made with JavaScript, HTML and CSS using Visual Studio Code editor.
A minimal, web based version of the popular 90's game DX ball written in vanilla JavaScript.