Hi there 👋

I'm Preeti

With the heart of a data wizard and the brain of a number-crunching ninja, I'm ready to tackle any data puzzle that comes my way. Armed with the power of machine learning, computer vision, data visualization, and EDA, I can see patterns where others only see noise. I speak the language of Python, SQL, and statistics fluently and can translate complex data into actionable insights that drive business growth. So, let's join forces and unleash the full potential of data!

💻 Tech Stack:

📊 GitHub Stats:

My Hobbies and interests:

Chess
Sketching
Painting
Volleyball
Travelling

🌐 Connect with me:

Preeti Rai's Projects

animateddrawings

Code to accompany "A Method for Animating Children's Drawings of the Human Figure"

bike-sharing-demand-prediction

This project aims to develop a machine learning model to predict bike-sharing demand based on various factors such as weather conditions, time of day, and historical usage patterns. The dataset used for this project consists of 8760 records and 14 attributes.

brain-tumor-detection

This project aims to develop an advanced DL model using CNN to accurately detect and classify brain tumors from MRI scans.

cardiovascular-risk-prediction

The aim of this project is to develop an advanced machine learning model that accurately predicts the 10-year risk of Coronary Heart Disease (CHD), enabling early detection and personalized preventive interventions.

face-mask-detection

The aim of this project is to develop a model capable of accurately predicting whether a person is wearing a mask or not.

mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book

mlops-zoomcamp

Free MLOps course from DataTalks.Club

online-retail-customer-segmentation-project

This project aims to analyze a transnational dataset from a UK-based online retail company and identify major customer segments. By categorizing customers into distinct groups based on their characteristics, businesses can gain valuable insights and tailor their strategies to better serve each segment.

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