GP GAURAV PATIL Contact

GAURAV
PATIL .

|

Machine Learning & Data Science enthusiast focused on turning raw data into useful insights, predictive models, and practical applications.

PythonMachine LearningDeep LearningData Analytics
Portrait of Gaurav Patil

02 / ABOUT

Turning data into
decisions.

I'm a Machine Learning and Data Science enthusiast with a strong foundation in Python, SQL, and modern ML frameworks. I enjoy building end to end solutions. From data preprocessing and feature engineering to model development, visualization, and deployment using tools like Scikit-learn, Power BI, Flask, and Streamlit.

Through projects such as student performance prediction, sales analytics dashboards, and interactive ML apps, I've gained hands on experience in turning raw data into actionable insights. My goal is to apply analytics and machine learning to solve real world problems and drive data-driven decisions.

PythonScikit-learnDeep Learning Power BITensorFlowNumpyPandasFlaskStreamlit

03 / EXPERTISE

Skills & projects.

PythonPython
NumPyNumPy
PandasPandas
Scikit-learnScikit-learn
TensorFlowTensorFlow
KerasKeras
Power BIPower BI
FlaskFlask
StreamlitStreamlit
SQLSQL
GitGit
DockerDocker
ExcelExcel

03 / PROJECTS

Featured Work.

Student Score Prediction
01

Student Score Prediction

Developed an end-to-end ML system predicting student performance, achieving R² = 0.89, with modular pipeline and deployment.

GitHub ↗
Sports Market Analysis
02

Sports Market Analysis

Analyzed sports industry market trends and performance metrics using Power BI to identify key opportunities and consumer patterns.

GitHub ↗
Customer Churn Prediction
03

Customer Churn Prediction

Built an ANN model to predict customer churn, helping businesses identify at-risk customers and improve retention strategies.

GitHub ↗
IMDB Movie Sentiment Analysis
04

IMDB Movie Sentiment Analysis

Built an RNN sentiment classifier that predicts positive or negative IMDb movie reviews from text.

GitHub ↗
Swiggy Sales Analysis
05

Swiggy Sales Analysis

Created interactive Power BI dashboards to visualize sales data, order trends, revenue patterns and customer behavior.

GitHub ↗
Iris Model
06

Iris Model

Built a Streamlit application classifying Iris species using sepal and petal features with Scikit-learn.

GitHub ↗

04 / CONTACT

Let's build something
useful.

Have an opportunity, project, or idea? Find me on the platforms below.