💡 Data Science Enthusiast | 4-Star HackerRank in Python | Turning Data into Insights

Welcome to my GitHub profile! I'm Nidhi Sharma, an aspiring data scientist from India with a deep passion for uncovering insights from data. I believe in the power of data to drive decisions, and I’m committed to learning and building a career in data science.

• 👀 Passionate Learner: Currently diving deep into data science, learning from experts.
• 🌱 Skills: Machine Learning, Python, SQL, Flask, Pandas, NumPy, Matplotlib, Scikit-learn, and more.
• 🚀 Currently Working On: Hands-on machine learning projects, experimenting with real-world data, and continuously improving my skills.
• 💼 Hackerrank Achievements: Proud holder of 4 stars in Python and striving to master more!
• 📫 Let’s Connect: Feel free to reach out via Email or connect with me on LinkedIn, Portfolio

Here are a few of my key projects. Feel free to explore!

• Project 1: AMAZON-SMART-WATCH: Implemented a machine learning model to predict the amazon's smart watch price prediction based on various features. Tools used: Python, Scikit-learn, Pandas, web scrapping, Regression algorithm, Flask
• Project 2: Bankloan-Prediction--Classification-Regression: Built a classification model to analyze that the user eligibke to get a Bankloan or not. Tools used: Python, Machine Learning, and Flask. Classification Algorithm.
• Project 3: Human vs AI Text Classification: Build a classification model, that tell us about that the given text is written by AI or by the Human, Tools used:- Python, Feature engineering, Machine Learning (Naive Bayes), Model evaluation, and the Flask with HTML and CSS.
• Project 4: Book Recommendation System: A Flask-based Book Recommendation System using a dataset of top 50 books, combining content-based and collaborative filtering for personalized recommendations based on user preferences and ratings.

I’m obsessed with creating meaningful stories from data and aspire to become a data scientist who drives positive impact in the real world.