Dedicated Web Developer with many years of comprehensive experience collaborating with colleagues to achieve sleek and streamlined experiences. Expertise in data marketing analysis and revising websites to improve function. Successful at managing strong teams of developers to maximize profits.
ML Project On Canine Breed Classification Roles And Responsibilities:
Developed a system for classifying dog breeds from images,
focusing on achieving precise identification across 10 distinct breeds.
Created an intuitive tool for image uploads and breed identification,
enhancing the practical application of image recognition technology.
Approach: Processed image data with 967 rows and 67,501 columns, performing EDA to prepare for modeling.
Applied train test split, evaluated models, and selected KNeighborsClassifier, achieving o.84 accuracy. Results: Achieved a high accuracy score with the KNeighborsClassifier: 84%.
EDA on Google Flights Roles and Responsibilities:
Collected and cleaned data: Scraped flight information using Beautiful Soup and Request,
applied data cleaning techniques in Pandas to standardize and enhance dataset quality
in a refined dataset of 2513 rows and 12 columns.
Visualized and analyzed data: Utilized Matplotlib and Seaborn to create insightful visualizations,
allowing for comprehensive analysis of pricing dynamics, cabin class variations,
Investigated factors influencing price differentials across airlines and cabin classes,
aiming to optimize revenue generation and enhance customer value proposition