Insurance Premium Prediction App

A Streamlit web app that predicts health insurance premiums using an XGBoost regression model based on user medical and demographic inputs, with robust preprocessing and feature engineering.

Interactive Clustering Web App for Targeted Marketing

Developed and deployed a Streamlit-based web application for clustering learners based on various features to help an educational institute target its audience for advertisements. Supports 8+ dynamic features, allowing users to upload datasets and visualize clusters in real time.

Model building for classification(LR+RF).

Built a logistic regression model using scikit-learn, performed analysis with matplotlib, and applied feature reduction for better insights on a popular 'Wine Dataset' for the classification problem and deployed using streamlit.

Admission Predictor

AdmitPredict is a machine learning project that uses linear regression to estimate a student's chances of admission based on various factors such as GRE score, TOEFL score, CGPA, and university ranking.

Comprehensive Financial Analytics Dashboard: Harnessing Data for Decision Making

Leveraged an 8-year Balance Sheet dataset in Excel, seamlessly integrating it into Tableau Public through meticulous data modeling ,I crafted dynamic measures to unveil key financial metrics including Gross Profit and debt equity ratios, enabling strategic decision-making with clarity and precision.

Startup Funding - Report (Presentation)

In the project, I have the dataset consisting details of different startups their fundings, type of fundings, funding rounds, founding date, last date of funding and many more. I made a Tableau dashboard describing my view of analysis which might be helpful for any investors to invest in a startup.

Analyzing Consumer Behavior: Gender-Based Purchasing Patterns Using CLT and Hypothesis Testing

Analyzed the customer purchase behavior (specifically, purchase amount) against the customer’s gender and the various other factors to help the business make better decisions. Also checked if the spending habits differ between male and female customers or not.

EDA of a Delivery Company: Insights using Wilcoxon Test and Multi-Dimensional Grouping

Cleaned, sanitized and manipulated the data to get useful features out of raw fields. Make insights out of the raw data to help in building forecasting models on it. Concept Used: • Feature Creation • Relationship between Features • Column Normalization /Column Standardization • Outlier treatment

Data Analysis and Hypothesis Testing for E-Bike Purchases: A Case Study on YULU Company

Analyzed variables significance in predicting the demand for shared electric cycles in the Indian market and also how well those variables describe the electric cycle demands. Did exploratory data analysis and tried to established a relation between the dependent and independent variable