My Work:

1.)    Jun 2023: Chat App:

  • Engineered a React-based chat application, enabling user search and messaging functionality.

  • Implemented a message deletion feature for specific conversations.
  • Developed a chat engine for user conversation storage and management.

2.)    Jul 2023: Sort-It-Out:

  • Developed a Node.js-based chore management application, enabling user registration, group invitations, and chore assignments.

  • Led a collaborative team of four to ensure daily task completion, emphasizing strong project management and teamwork.

  • Utilized advanced control structures (e.g., do-while-loops and switch statements) for an intuitive user interface.

3.)    Nov 2023: Eternals:

  • Created a JavaScript-based application for event management, offering features like creation, editing, deletion, and RSVPs.
  • Implemented Node framework for user account registration and database storage.
  • Proficiently integrated various APIs to enhance application functionality.

4.)    Apr 2023: 49er Task App Mini Project:

  • Collaborated on the development of an end-to-end task management application, leveraging Python, SQL, HTML, Flask, and CSS for data storage, user interface, and presentation layers.

  • Designed and implemented data models in SQL to efficiently store and manage user-generated content, including tasks, notes, and user profiles.

  • Demonstrated proficiency in Agile and Scrum methodologies to iteratively develop and enhance application features based on user feedback and data-driven insights.

5.)    Jan 2024: Twitter Web Scraping:

  • Implemented Python web scraping techniques to extract Twitter data, utilizing libraries such as BeautifulSoup and Requests to collect tweets and associated metadata.

  • Conducted exploratory data analysis (EDA) to uncover patterns, trends, and anomalies within the scraped Twitter data, informing subsequent analysis and interpretation.

  • Employed advanced data cleaning methodologies including punctuation removal and stop word elimination, enhancing the quality and relevance of the dataset for downstream analysis and modeling tasks.

6.)    Feb 2024: Dropshipping Project (Work-in-progress)

  • Integrated Shopify with Google Analytics 4 for comprehensive customer behavior analysis, driving data-driven decisions in product selection and marketing strategies.

  • Leveraged Google Analytics 4 advanced features for enhanced ecommerce tracking, optimizing sales conversion rates by understanding user journeys and cart abandonment rates.

  • Applied data analysis techniques to uncover trends and opportunities in dropshipping, guiding inventory management, pricing strategies, and customer acquisition for improved profitability and operational efficiency.