Welcome to my GitHub profile! I'm a passionate data scientist with a keen interest in machine learning and computer vision.
- Data Science
- Machine Learning
- Computer Vision
- Advanced machine learning algorithms
- React.js with OpenAI API integration
- Deep learning techniques for computer vision
- Real-time data processing and analytics
- Data Engineering and Natural Language Processing
- Innovative projects in data science and machine learning
- Open-source contributions related to computer vision
- Research projects that involve predictive modeling and analysis
- LinkedIn: Mohini Deshpande
- She/Her
Currently, I'm working on a few different projects and participating in Hackathons to get that experience
Here are some of the projects I've worked on:
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Bank Churn Prediction: Developed a predictive model to identify customers likely to leave the bank using various classification algorithms. Achieved an accuracy score of 94.31%.
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Steel Defect Detection Using Deep Learning: Developed an end-to-end solution for detecting defects in steel surfaces using a ResNet152V2 model for image classification and bounding box prediction. The model was fine-tuned using pre-trained weights on ImageNet and achieved high accuracy of 97.3%. Link to this project: Steel Defect Detection
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Stock Market Prediction Model: Built a stock prediction model integrating news sentiment analysis using FinBERT with technical indicators (e.g., RSI, Moving Averages). Leveraged Random Forest for accurate price trend predictions, achieving 67% accuracy using real-time stock data and news scraping for enhanced insights.
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Data Mining Script: This is a Web Scraper that is scraping the website 'Reed' for data science related roles that are hiring and saving it into an excel file as a demo.
Currently I'm trying to upload my projects that I have saved locally on here to add on to my portfolio.
Feel free to check out my repositories and contribute to my projects!