Hello, my name is
Shubham Waghmare
And I'm a

About me

I'm Shubham and I'm a

I am Shubham Waghmare, Pursuing Masters in Statistics a dedicated Data Science enthusiast with a strong foundation in mathematics and Statistics. Proficient in Python, SQL, and a range of data analysis tools. I have hands-on experience in data cleaning, exploration, and applying machine learning algorithms. I've worked on diverse projects, from web scraping and predictive modeling. I've also developed end-to-end projects like mumbai flat price predictor, I have also made many dashboards using Streamlit and PowerBI. showcasing my skills in libraries like Numpy, Pandas, and Sk-Learn.

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My skills

My creative skills & experiences.

Hello there! I'm currently diving into the world of AI and Machine Learning & excited to use my skills to solve problems through cool projects

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Languages
Python, SQL, R
Tools
 Jupyter Notebook, VS Code
Data Science
 Data Cleaning, EDA, Web Scraping
Machine Learning
 Supervised Learning
Mathametics for ML
 Statistics & Probability
Visualization Tools
 Power BI, Excel
Databases
 MySql

Projects

Email/SMS Spam Classifier

A machine learning project using the Naive Bayes model accurately identifies spam messages with a 99% success rate. The application was deployed using Streamlit, providing an interactive interface for users.

Library used : Numpy, Pandas, Scikit-learn, NLTK, Streamlit.
Credit Risk Modelling

This Machine Learning project uses XGBoost model which predicts the likelihood that a borrower will fail on credit and classifies them into 4 categories (P1, P2, P3, P4).P1 is less risky application which is highly suitable for loan approval whereas P4 is the highest risk application which can increase NPA(Non-Performing assets) accounts of bank

Library used : Numpy, Pandas, Matplotlib, XGBoost Seaborn, Scikit-learn, Streamlit.
Startup Funding Analysis

A Streamlit powered deployed application where user can study various factors of Indian Startup and Investment Ecosystem. It has 3 sections: Overall analysis, Investor Analysis and Startup Analysis



Library used : Numpy, Pandas, Matplotlib, Streamlit

Contact me

Get in Touch

Looking forward to hear from you !!
Let's connnect

Name
Shubham Waghmare
Address
Mumbai
Email
wshubham2006@gmail.com
Github
LinkedIn
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