Driven Data Science Intern ready to thrive in demanding digital intelligence processing environments. Well-informed on latest machine learning advancements. Ready to combine tireless hunger for new skills with desire to exploit cutting-edge data science technology.
1] Movie Recommendation System using Collaborative Filtering -
Developed a movie recommendation system using collaborative filtering techniques, including KNN and SVD, with Python (pandas, scikit-learn, Surprise) for data manipulation, model training, and evaluation. Deployed the system with Flask and visualized results using Matplotlib and Seaborn.
2] Stock Price Prediction with Time Series Analysis -
Developed a time series forecasting model to predict stock prices using advanced techniques to identify trends and seasonal patterns, enabling accurate investment decisions.