Jnior Data Science CV for Freshers
Junior Data Science CV for Freshers *Profile Summary* Data science enthusiast with a strong foundation in mathematics, statistics, and programming. Experienced in developing predictive models, data visualization, and machine learning algorithms. *Key Skills* - Programming Languages: Python, R, SQL - Machine Learning: Regression, Classification, Clustering, Deep Learning - Data Visualization: Tableau, Power BI, Matplotlib, Seaborn - Big Data Technologies: Hadoop, Spark - Databases: MySQL, MongoDB - Tools: Jupyter Notebook, Git, TensorFlow *Projects* 1. *Customer Churn Prediction Model*: Developed a predictive model using logistic regression to identify customers likely to churn, achieving an accuracy of 85%. Tools: Python, Scikit-Learn, Matplotlib. 2. *Movie Recommendation System*: Implemented a collaborative filtering recommendation system using the Surprise library. Improved recommendation accuracy by 20% after hyperparameter tuning. 3. *Real-Time Sentiment Analysis for Social Media*:...