Collaborative and analytical, bringing solid understanding of data science principles and methodologies. Proficient in Python and machine learning algorithms, with hands-on experience in data analysis and visualization. Dedicated to leveraging data insights to drive impactful business decisions.
Helped prepare and label user data for a recommendation system prototype
Conducted user churn analysis using logistic regression models in R
Summarized key findings and presented insights to the internal project team
Cleaned and analyzed sales and operations data using Python and pandas
Supported the development of automated SQL-based data reporting workflows
Assisted in building visual dashboards to track monthly performance using Tableau
Technical Skills
Programming Languages: Python, R, SQL, Jav
Tools & Libraries: Jupyter Notebook, Github, NumPy, Tableau
Operating Systems: Windows, macOS, Linux (basic familiarity)