Aditya Ramachandran
About me
I am a software engineer.
My experience includes diving into machine learning and backend development, where I've learned about data analysis, training models, and deploying solutions to solve real-world problems. While I'm still fascinated by the possibilities of AI and ML, I'm currently focusing more on backend development.
In my backend development journey, I enjoy crafting solutions that are scalable, easy to maintain, and perform well. Whether it's designing APIs or optimizing databases, I love the challenge of building the foundation for applications and services.
My toolbox includes languages like Python, Java, as well as frameworks such as Flask and Spring Boot and a myriad of Machine Learnig Libraries (well, its a long list). I'm also familiar with databases like PostgreSQL and MySQL.
I frequently indulge in watching captivating YouTube content, with channels like Sebastian Lague and Code Bullet being among my favorites. These videos not only entertain but also serve as a wellspring of inspiration.
While, I am no expert, I have a generalist, first-principle view towards complex problems.
When I'm not busy with tech stuff, I enjoy taking photos as a hobby. Here are three of my favorite pictures that I've managed to capture (and the good ones I could find from the bunch of photos I have lol)
I'm always eager to learn and grow, whether it's exploring new technologies or collaborating with others on exciting projects. If you're interested in learning together or have ideas to share, feel free to reach out!
The best way to reach out to me would be via email.
-
Email: adityaramachandran25@gmail.com
Github: github.com/Aditya-Ramachandran
Medium: medium.com/@adityaramachandran25
Linkedin: linkedin.com/in/aditya-ramachandran-27b2ab24a
Select Blog Posts
-
Don’t Be Lost in the Loss: Understanding Loss Functions
Generating Interest: A Gentle Introduction to Generative Adversarial Networks
Understanding Degrees of Freedom in Statistics: A Beginner’s Guide
Select Projects
SiesmoStream: I built this web-app to make exploring earthquake data fun and interactive. Easily plot earthquakes on a map and discover patterns over time. Whether you're a beginner or an expert, it's perfect for learning more about earthquakes and their impact. Give it a try and uncover something fascinating about our planet!
MarketMage: MarketMage is a Python-based project that brings your supermarket sales data to life through interactive visualizations and insightful analysis. With a user-friendly interface, it allows you to explore and understand sales trends, profit margins, and regional patterns across different store locations in the US.
Cardiovascular Disease Detection using Ensemble Learning: A university project where the primary aim was to detect cardiovascular disease (CVD) early, effectively managing its progression and enhancing patient well-being. To improve accuracy in diagnosis, we proposed an ensemble model integrating machine learning algorithms such as XGBoost, K Nearest Neighbours, Decision Trees, and Random Forest. This approach combines the strengths of each algorithm to enhance prediction outcomes for CVD detection and management.
Selected Kaggle Notebooks: This serves as a collection of my Kaggle notebooks, showcasing various data analysis projects and explorations. You can find a wide range of topics covered, including data cleaning, visualization, machine learning, and more.
Miscellaneous Things
While in university, I co-authored a conference paper in IEEE as part of my work on cardiovascular disease detection in healthcare:
A lot of my university time was spent getting my hands dirty and tinkering around machine learning systems. This led to achieving Kaggle Expert status in datasets, discussions, and notebooks, placing me in the top 7% of users across all sections on Kaggle.I like writing too. I occasionally do write tech blogs on medium. (Although it's been a while since my last post, I'm eager to resume writing soon).