TripleTenData Science Bootcamp Graduate
May. 2024Completed an intensive, project-based data science bootcamp, covering the full data science pipeline from data preprocessing to advanced machine learning techniques. Compressed an 8-month curriculum into 2 months through accelerated learning.
Key Achievements: Developed 17 portfolio-ready projects demonstrating proficiency in Python, machine learning, and data analysis
Created a customer churn prediction model for a telecom operator, achieving 84.66% accuracy improvement over baseline and identifying key retention factors
Implemented a sentiment analysis system for movie reviews, surpassing the target F1 score of 0.85 with a score of 0.88 Skills Acquired: Programming: Python, SQL
Machine Learning: Supervised and unsupervised learning, feature engineering, model selection and evaluation
Data Analysis: Exploratory data analysis, statistical analysis, data visualization
Tools: Jupyter Notebook, Pandas, Scikit-learn, TensorFlow, Keras
Advanced Techniques: Natural Language Processing, Time Series Analysis, Computer Vision basics Soft Skills Developed: Analytical thinking and problem-solving in data-driven contexts
Clear communication of complex technical concepts
Collaboration on team projects simulating real-world data science scenarios
Time management and rapid learning in an accelerated program format