Sumit Maske

Developed and maintained full-stack web applications using React, Node.js, and MongoDB. Enhanced user experience in collaboration with design teams. Integrated RESTful APIs, reducing page load time by 25%. Conducted code reviews and implemented unit tests, improving code quality by 20%.

Implemented responsive front-end features with HTML, CSS, and React, improving load time by 20%. Collaborated with UI/UX teams to enhance usability, accessibility, and cross-browser compatibility.

Developed and implemented machine learning models for diverse projects, including Iris Flower Classification, Unemployment Analysis, Car Price Prediction, and Email Spam Detection. Utilized Python, Pandas, and Scikit-learn to preprocess data, build models, and evaluate performance. Created comprehensive Jupyter notebooks and documentation to showcase methodologies and results.

Conducted data analysis using Python and Pandas to derive insights from various datasets - Built machine learning models to predict customer behavior and trends - Created data visualizations with Matplotlib and Seaborn to represent key findings to stakeholders.

• Analyzed datasets with Python and Pandas, built machine learning models to predict customer behavior, and visualized insights using Matplotlib and Seaborn for presentations.