Work experience
Digital media team
11/2022 - 11/2023
Managed and maintained websites integral to the operations of the college, ensuring seamless functionality and reliability. Worked on projects utilizing Core PHP, Laravel, React, and Node.js, gaining hands-on experience in full-stack development. Collaborated with the IT department to address networking and hosting issues, ensuring smooth website operations. Implemented updates, resolved bugs, and optimized site performance for user efficiency.
Projects
Tedxdwit
Mobile Application Integrated With Laravel
Pdf Editor With Laravel
Fpdf
Fpdi
Attendance Management System
Form To Website Creator
Certification and Courses
full stack open
- Gained hands-on experience with modern web technologies including React, Node.js, Express, MongoDB, and GraphQL.
- Developed full-stack applications with a focus on building scalable and efficient software.
- Acquired proficiency in RESTful and GraphQL APIs, state management, and advanced backend techniques.
- Enhanced debugging, testing, and deployment workflows in a real-world development environment.
Data Analysis and Python Skills (DataCamp)
- Completed the Data Analyst in Python course and specialized training in web scraping, data science, hypothesis testing, and advanced data visualization.
- Completed the Data Analyst in Python course and specialized training in web scraping, data science, hypothesis testing, and advanced data visualization.
- Developed strong analytical skills using Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn. Proficient in extracting, processing, and visualizing data to generate actionable insights and reports.
- Enhanced understanding of statistical methods and hypothesis testing for data-driven decision-making.
Stanford CS229: Machine Learning (In Progress)
- Currently studying under Andrew Ng's renowned course, In Youtube, delving into foundational and advanced topics in machine learning.
- Learning theoretical principles and practical applications in supervised, unsupervised, and reinforcement learning.
- Aspiring to become a proficient and impactful contributor in the field of machine learning.