Nandika Karnik



I'm a passionate Computer Science major with a minor in the Mathematics of Finance, curious about how data and algorithms can drive better decision-making—especially in the world of finance. I enjoy working on projects that have real-world relevance and lead to insights that matter. I grew up coding and have fond memories of building games on Scratch as a little girl. Since then, my curiosity about the many ways technology can be applied has only grown.

Outside of tech, I love trying new recipes, watching Formula 1, or getting lost in a good book.

Projects

Rescura

Rescura was built at HackPrinceton (fall 25) in 36 hours to detect and aid those facing health emergencies, especially in rural areas by detecting ECG and motion data from an inexpensive wearable and contacting emeregency services and guiding bystanders through CPR.

Gaia

Winning 1st place at GirlHacks 25, Gaia is a web application with a dynamic AI chatbot designed to support women on campus by connecting them with resources, guidance, and community!

Easy S&P

Easy S&P is a stock screener that allows user to filter stocks by sector and sort them by key metrics. Future updates will include availability online and a news sentiment analyzer built using AWS Sagemaker.

Banking Campaign Predictor

Implemented a Random Forest Classifier on the Banking Data - Marketing Targets dataset from Kaggle to predict whether a customer would subscribe to a term deposit.

NY Graduation Model

Trained a Multiple Linear Regression model on the 2005-2015 Graduation Rates Public - School dataset from NYC Open Data to predict Total Grad percentages.

Credit Predictor

Trained a Random Forest Classifier model on the German Statlog Credit Dataset to determine whether a potential customer was credit-worthy or not.

Mini-Projects

Descriptions of and my code for simple scripts, mini-projects, and more.


Certifications

AWS Certified Machine Learning Engineer – Associate AWS Certified AI Practitioner Badge C++ Certified Associate Programmer Badge

Skills

Programming Languages: C/C++, Java, Python, SQL (MySQL), Bash
Tools: Git, Jupyter Notebook, Google Colab, Visual Studio Code, PyCharm, IntelliJ, MS Excel, Anaconda
Libraries: Scikit-Learn, pandas, NumPy, Matplotlib, Seaborn