Negin Mohammadzadeh

I hold a Master's degree in Applied Computer Science from Concordia University. I have more than 3 years of work experience as a full-stack and mobile developer. Throughout my professional experiences, I have developed front-end and back-end customized applications as a part of a startup team. I worked with various programming languages such as Java, and Node.js, C#, Asp.net.

Throughout my academic journey, I have gained extensive knowledge of Python, C++, and Java programming languages. Additionally, I am proficient in using machine learning and data analysis libraries, including Pytorch, Scikit-learn, NumPy, Pandas, Matplotlib, Spark, Dask, and Hadoop.

My resume is attached to this email for your consideration.

Thank you for considering my application. I am enthusiastic about the prospect of joining your team and contributing to its success. I look forward to the possibility of discussing this opportunity in more detail.

I have a strong background in software development, with over 3 years of experience in a large-scale environment. I possess a deep understanding of Java, Android, and Node.js programming. Additionally, I have hands-on expertise in developing web services (RESTful) and designing NoSQL and Relational databases like MongoDB, SQL Server, and MySQL.

I developed an Android chat application to send and receive texts, videos, photos, and voice. I also developed an Android app and web appointment scheduler.

I hold a Master's degree in Applied Computer Science from Concordia University. Throughout my academic journey, I have gained extensive knowledge of Python, C++, and Java programming languages. Additionally, I am proficient in using machine learning and data analysis libraries, including Pytorch, Scikit-learn, NumPy, Pandas, Matplotlib, Spark, Dask, and Hadoop.

I worked on notable projects, including Mask Detection, Face Expression Recognition, and a Recommendation System, using Pytorch, Spark, and ML techniques. These experiences allowed me to develop strong skills in designing, implementing, and deploying AI and machine learning models.