Data Scientist specializing in analyzing complex datasets and building machine learning models to solve real-world problems.
I am a future data scientist with a strong foundation in statistics, programming, and machine learning. My goal is to leverage data to extract meaningful insights and develop innovative solutions to complex problems.
I am particularly interested in predictive modeling, data visualization, and the application of AI to solve real-world challenges in various industries.
Created a machine learning model to predict customer churn for a telecommunications company, identifying key factors and providing actionable insights to reduce attrition.
Developed an interactive dashboard for analyzing customer reviews and feedback, utilizing NLP techniques to extract insights and identify trends in sentiment over time.
Implemented various time series models to forecast sales data, comparing their effectiveness and accuracy while accounting for seasonal trends and external factors.
Working on machine learning models for customer segmentation and behavior analysis. Collaborating with business teams to implement data-driven decision making processes.
Assisted in research projects involving statistical analysis of large datasets. Developed data cleaning methodologies and created visualizations for publications.
Supported students learning Python for data analysis. Created educational content and evaluated assignments focused on data manipulation and basic statistical concepts.