Frameworks & Libraries

Data Manipulation:

• Proficient in utilizing Pandas and NumPy to perform complex data cleaning, transformation, and preparation tasks.

• Skilled in handling large datasets efficiently, applying advanced operations such as groupings, joins, and aggregations to extract meaningful insights.

• Experienced in working with various data formats and structures, ensuring data integrity and consistency throughout the analysis process.

  
  

Data Visualization:

• Experienced in using Matplotlib and related libraries to design clear, insightful, and publication-quality visualizations.

• Capable of crafting a wide range of plots, from simple line and bar charts to advanced scatter plots and heatmaps, effectively communicating data trends and patterns.

• Proficient in interactive visualization tools like Plotly and Bokeh, enhancing user engagement and exploration of data insights.

  
  

Web Development:

• Adept at developing and deploying dynamic web applications using Flask.

• Skilled in integrating APIs, managing backend processes, and ensuring seamless user interactions, with a focus on creating responsive and robust web solutions.

• Experienced in front-end technologies such as HTML, CSS, and JavaScript, enhancing the user interface and experience of web applications.

  
  

Machine Learning:

• Comprehensive knowledge of machine learning techniques, leveraging tools like scikit-learn, TensorFlow, and Keras to design, implement, and optimize predictive models.

• Experienced in data preprocessing, feature engineering, hyperparameter tuning, and deploying models for real-world applications.

• Proficient in evaluating model performance metrics, interpreting results, and iterating on model improvements for enhanced accuracy and efficiency.