Data-Driven ML Enthusiast - BCA Student, Nanded

Divya suryawanshi

+91-928******* ********************@*****.*** www.linkedin.com/in/divva-survawanshi-669585328

GitHub: https://eithub.com/DivvaS-109

Professional Summary Aspirin

insights from data and developing end-to-end predictive solutions. Eager to apply analytical thinking and technical skills to real business problems.

Education

Bachelor of Computer Application 2022 - 2025

ITM collage, Nanded. CGPA: 8.94(till 6th semester) Projects

Customer Conversion Prediction Machine Learning, Flask

- Customer conversion predicts whether a user will take an action such as purchase, signup, or subscription

- Built an ML classification system using XGBoost to predict customer conversion probability

- Trained the model on 100,000+ customer records with structured behavioral data

- Performed EDA to analyze customer behavior, trends, and feature importance

- Handled 98% class imbalance using SMOTE to improve minority class prediction

- Achieved 99% training accuracy and 98% test accuracy

- Deployed the model using Flask with HTML & CSS for real-time prediction via web interface COVID-19 Chest X-Ray Detection Deep Learning (CNN)

- This project aims to use deep learning to detect COVID-19 from chest X-ray images and assist doctors in early and reliable diagnosis.

- Developed a CNN-based deep learning model to classify COVID-19 / Pneumonia vs Normal from chest X-ray images

- Trained and evaluated the model on labeled medical image data with image preprocessing and resizing

- Built an end-to-end Flask web application for real-time image upload and prediction

- Integrated trained model (.h5) for inference and visualization of results

- Applied deep learning concepts including convolution, pooling, and sigmoid activation

- Achieved high prediction performance on unseen test X-ray images Cake shop –cake shop Management System Python

- Developed a console-based application using Python and OOP concepts to manage cake inventory,customer orders, and billing.

- Implemented a admin and user modules with file handling for persistent storage,exception handling for input validation,and automated stock managemet.

- Use python data structures (list,dictionaries) for efficient data management Technical Skills

Programming Languages: Python, SQL, C, Html,Css.JavaScript, Libraries : NumPy, Pandas, Matplotlib, Seaborn, Scikit- learn, Spacy,NLP Frameworks: TensorFlow, PyTorch, Keras, Flask, Django Dev Tools:Jupyter,Vistual Studio,Pycharm,Mysql, Github,.

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