PROGRAMMING PORTFOLIO
Welcome to my programming portfolio! I am a dedicated programmer studying Applied AI at Hong Kong University, with a strong interest in AI. I am proficient in several programming languages, including Python, C++, C#, R, and HTML/CSS, and I am familiar with Pandas, Tensorflow, Flask & Unity. I am also very quick at learning new languages required, which allows me to adapt to new technologies and programming frameworks easily.
I have gained practical experience through my previous internship as a data science intern at bookme.pk, where I worked on developing data-driven solutions for an online ticketing platform. In addition, I have worked on several personal programming projects, including "Brain Tumor Detection In MRI Images using AI," which showcases my ability to apply my programming knowledge and skills to real-world problems. My portfolio includes a range of certifications that demonstrate my proficiency and expertise in programming, mathematics, data science, and machine learning.
As a programmer, I am committed to continuous learning and improvement. I believe that programming is not just about writing code, but also about problem-solving and creating innovative solutions. With my skills and expertise, I am confident in my ability to tackle complex programming challenges and deliver high-quality results.
PROGRAMMING PORTFOLIO
Welcome to my programming portfolio! I am a dedicated programmer studying Applied AI at Hong Kong University, with a strong interest in AI. I am proficient in several programming languages, including Python, C++, C#, R, and HTML/CSS, and I am familiar with Pandas, Tensorflow, Flask & Unity. I am also very quick at learning new languages required, which allows me to adapt to new technologies and programming frameworks easily.
I have gained practical experience through my previous internship as a data science intern at bookme.pk, where I worked on developing data-driven solutions for an online ticketing platform. In addition, I have worked on several personal programming projects, including "Brain Tumor Detection In MRI Images using AI," which showcases my ability to apply my programming knowledge and skills to real-world problems. My portfolio includes a range of certifications that demonstrate my proficiency and expertise in programming, mathematics, data science, and machine learning.
As a programmer, I am committed to continuous learning and improvement. I believe that programming is not just about writing code, but also about problem-solving and creating innovative solutions. With my skills and expertise, I am confident in my ability to tackle complex programming challenges and deliver high-quality results.
PROGRAMMING PORTFOLIO
Welcome to my programming portfolio! I am a dedicated programmer studying Applied AI at Hong Kong University, with a strong interest in AI. I am proficient in several programming languages, including Python, C++, C#, R, and HTML/CSS, and I am familiar with Pandas, Tensorflow, Flask & Unity. I am also very quick at learning new languages required, which allows me to adapt to new technologies and programming frameworks easily.
I have gained practical experience through my previous internship as a data science intern at bookme.pk, where I worked on developing data-driven solutions for an online ticketing platform. In addition, I have worked on several personal programming projects, including "Brain Tumor Detection In MRI Images using AI," which showcases my ability to apply my programming knowledge and skills to real-world problems. My portfolio includes a range of certifications that demonstrate my proficiency and expertise in programming, mathematics, data science, and machine learning.
As a programmer, I am committed to continuous learning and improvement. I believe that programming is not just about writing code, but also about problem-solving and creating innovative solutions. With my skills and expertise, I am confident in my ability to tackle complex programming challenges and deliver high-quality results.
PROGRAMMING PORTFOLIO
Welcome to my programming portfolio! I am a dedicated programmer studying Applied AI at Hong Kong University, with a strong interest in AI. I am proficient in several programming languages, including Python, C++, C#, R, and HTML/CSS, and I am familiar with Pandas, Tensorflow, Flask & Unity. I am also very quick at learning new languages required, which allows me to adapt to new technologies and programming frameworks easily.
I have gained practical experience through my previous internship as a data science intern at bookme.pk, where I worked on developing data-driven solutions for an online ticketing platform. In addition, I have worked on several personal programming projects, including "Brain Tumor Detection In MRI Images using AI," which showcases my ability to apply my programming knowledge and skills to real-world problems. My portfolio includes a range of certifications that demonstrate my proficiency and expertise in programming, mathematics, data science, and machine learning.
As a programmer, I am committed to continuous learning and improvement. I believe that programming is not just about writing code, but also about problem-solving and creating innovative solutions. With my skills and expertise, I am confident in my ability to tackle complex programming challenges and deliver high-quality results.
Full list of certifications
Google Analytics Certification, issued by Google in August 2023
Intro to Machine Learning, issued by Kaggle in August 2023
Python Essentials 1, issued by Cisco in May 2023
Crash Course on Python - Google, issued by Coursera in February 2023, with credential ID KF4GNGTTQYHP
Python Skills Certification - HackerRank, issued by HackerRank in February 2023, with credential ID 2208E9A38789
Data Science Math Skills - Duke University, issued by Coursera in April 2022, with credential ID MLUKWG9SN7Y2
Machine Learning - Stanford University, issued by Coursera in February 2022, with credential ID AERKEHD6KUG8
Foundations: Data, Data, Everywhere - Google, issued by Coursera in May 2023, with credential ID UJVMT4NCVLWV
Full list of certifications
Google Analytics Certification, issued by Google in August 2023
Intro to Machine Learning, issued by Kaggle in August 2023
Python Essentials 1, issued by Cisco in May 2023
Crash Course on Python - Google, issued by Coursera in February 2023, with credential ID KF4GNGTTQYHP
Python Skills Certification - HackerRank, issued by HackerRank in February 2023, with credential ID 2208E9A38789
Data Science Math Skills - Duke University, issued by Coursera in April 2022, with credential ID MLUKWG9SN7Y2
Machine Learning - Stanford University, issued by Coursera in February 2022, with credential ID AERKEHD6KUG8
Foundations: Data, Data, Everywhere - Google, issued by Coursera in May 2023, with credential ID UJVMT4NCVLWV
Full list of certifications
Google Analytics Certification, issued by Google in August 2023
Intro to Machine Learning, issued by Kaggle in August 2023
Python Essentials 1, issued by Cisco in May 2023
Crash Course on Python - Google, issued by Coursera in February 2023, with credential ID KF4GNGTTQYHP
Python Skills Certification - HackerRank, issued by HackerRank in February 2023, with credential ID 2208E9A38789
Data Science Math Skills - Duke University, issued by Coursera in April 2022, with credential ID MLUKWG9SN7Y2
Machine Learning - Stanford University, issued by Coursera in February 2022, with credential ID AERKEHD6KUG8
Foundations: Data, Data, Everywhere - Google, issued by Coursera in May 2023, with credential ID UJVMT4NCVLWV
Full list of certifications
Google Analytics Certification, issued by Google in August 2023
Intro to Machine Learning, issued by Kaggle in August 2023
Python Essentials 1, issued by Cisco in May 2023
Crash Course on Python - Google, issued by Coursera in February 2023, with credential ID KF4GNGTTQYHP
Python Skills Certification - HackerRank, issued by HackerRank in February 2023, with credential ID 2208E9A38789
Data Science Math Skills - Duke University, issued by Coursera in April 2022, with credential ID MLUKWG9SN7Y2
Machine Learning - Stanford University, issued by Coursera in February 2022, with credential ID AERKEHD6KUG8
Foundations: Data, Data, Everywhere - Google, issued by Coursera in May 2023, with credential ID UJVMT4NCVLWV