Vignesh Vignesh

Proficient in Python, SQL, and Pandas. Skilled in building predictive models, performing statistical analysis, and visualizing complex data sets to guide strategic decisions. Proven track record of managing end-to-end data projects, from data collection and cleaning to model deployment and evaluation. Passionate about uncovering actionable insights from data to solve real-world problems.

Customer Conversion Prediction Project Insurance Purchase Classification

Key skills: Python,Data cleaning,EDA,Model,Validate,Deploy.

• To develop the machine learning model for customer conversion prediction.
• Aim to predict whether customers will purchase insurance based on their demographic and behavioral data.
• cleaned the data and explore the data by statistical techniques,balanced the data by SMOTEENN.
• fit the model by Logistic Regression, Decision Tree Classifier, Random Forest Classifier, and XGBoost Classifier .
• XGBoost has the highest f1 score so deployed the model by XGBoost.

Singapore Flat Resale

Key skills : Python,Pre-Process,EDA,Model,Deployment.

• To develop the machine learning model to predict the resale price for the flat in singapore.
• Aim to predict the resale price for the flat in singapore.
• Pre-Processed the data and built the model.
• Random forest have the highest r2 score so deployed the model by Random forest.
• Develop a user-friendly web application using Streamlit to predict the resale price based on user inputs.

Air bnb analysis

Key skills : Python,Statistical analysis,Data visualization,Power bi,Streamlit.

• To create the dashboard by the insights of the airbnb data in streamlit and Power-bi.
• To create the dashboard for the price of the room,hostel,etc. for the selected location.
• Developed a streamlit web application with interactive maps showcasing the distribution of Airbnb listings, allowing users to explore prices, ratings, and other relevant factors.
• Create interactive visualizations that enable users to filter and drill down into the data.
• Created the dashboard using Power BI, combining various visualizations to present key insights from the analysis.