Projects

Data Science Projects:-

Email -SMS Spam Classifier | Aug 2022 – Sep 2022 | (GitHub) | (Web App) | (YouTube)

For Prediction Model I used Multinomial Naive Bayes Classifier, giving 95% Accuracy and Precision Score.
For Dataset, I used Two different Dataset, One Email dataset and One SMS. After cleaning Both datasets and removing Unnecessary Features.
For Frontend, used HTML & CSS
For Framework, I used Flask
Containers Docker
Deployment used Heroku

2. Thyroid Disease Detection | June 2022 – Sep 2022 | (GitHub) | (Web App) | (YouTube)

For the Prediction Model, I used the eXtreme Gradient Boosting Classifier(xgboost), giving a 97.5% Accuracy and 97 % Precision Score.
For Dataset, I used UCI data. Used three different Files and After cleaning concat all three files then made the Final EDA, Feature Engineering, Feature Scaling, Feature Selection and finally modeling on that concat Data file.
For Frontend, used HTML & CSS
For Framework, I used Flask
Containers Docker
Deployment used Heroku

3. Insurance Premium Prediction | Aug 2022 – Aug 2022 | (GitHub) | (Web App)

Data Analysis Projects :-

1. Survey Monkey Dashboard in Power BI and Tableau | (GitHub)

Survey Monkey Data cleaning & transformation work done in Excel and Python According to the Client's requirement.
Dashboard created in Power BI & Tableau

2. Swiggy Pre - Post Diwali Sales Analysis | (GitHub)

Swiggy pre – post Diwali Sales Data collected from swiggy October 2019 Diwali sales data. Cleaning & transformation work done in Power Query.
Dashboard created in Power BI.

3. Global SuperMarket E-Commerce Data Sales Analysis in Excel | (GitHub) | (YouTube)

Global SuperMarket E-Commerce Data Sales, Cleaning, merging & transformation work done in Excel with the help of Excel formula XLOOKUP, RANK, OFFSET and others.
Dashboard created in Excel

4. Maven Space Mission | (GitHub)