Moaz Mohammed Husain

Software Engineer, AI, highly skilled in Python, SQL, machine learning, Deep Learning, Data analysis and visualization, NLP, Product Development and creative thinking, with a track record of designing, developing, and maintaining scalable and efficient software systems. Passionate about solving complex technical problems. 

I have been working as a Machine Learning Engineer with a strong focus on software development and data analysis. In my current role as a Research Associate at Durham College, I have had the opportunity to work on various projects that have enhanced my skills and expertise.

One of my notable accomplishments was developing a Natural Language Processing model using the BERT transformer model to categorize EU financial cases. This involved leveraging AWS and PyTorch to achieve an impressive accuracy rate of 88%. I also improved data engineering processes by creating efficient scripts with Regex and optimized dataset loading time by incorporating SQL.

I further showcased my abilities by optimizing code and improving the responsiveness of a web application using Python, Flask, HTML, and Docker. Additionally, I have experience working with RESTful APIs using Django and have collaborated with stakeholders to gather requirements and provide data-driven insights.

Moreover, I have developed expertise in computer vision and image processing, particularly in the field of vehicle and license plate detection. Through extensive research and algorithm development, I successfully implemented a high-performing machine learning model using YOLOv8, achieving exceptional accuracy and continuously optimizing its performance.

Prior to my current role, I worked as a Software Developer at Clover Infotech, where I developed and maintained software applications using Python and SQL. I also played a crucial role in designing secure and accessible databases and implementing effective database migrations and optimizations.

Furthermore, my experience as a Data Scientist on the platform Fiverr allowed me to work on diverse projects such as developing client-tailored chatbots, predictive models for finance, and data extraction scripts. I have also utilized NLP techniques to analyze sentiment from customer comments, providing valuable insights to clients.

Throughout my career, I have demonstrated my proficiency in programming languages such as Python, SQL, and Java. I am well-versed in various frameworks, including Flask, Django, and React. Additionally, I have worked with big data technologies like Hadoop and PySpark, and I am proficient in data visualization tools such as Tableau and Power BI.

In summary, my professional experience has equipped me with a wide range of technical skills, a deep understanding of machine learning and data analysis, and a proven track record of delivering impactful solutions. I am passionate about solving complex problems and contributing to the development of robust applications. I am now seeking new opportunities where I can apply my skills and collaborate with cross-functional teams to make a meaningful impact.

My most relevant education includes a Bachelor of Engineering in Electronics Engineering from the University of Mumbai. This program provided me with a solid foundation in core engineering principles and equipped me with a comprehensive understanding of electronics and related technologies.

Additionally, I completed a course in Artificial Intelligence Analysis Design and Implementation at Durham College in Oshawa, Ontario. This program focused on the practical aspects of AI, including data analysis, machine learning, and the implementation of AI systems. I was honored to be recognized on the College Honor Roll for my outstanding performance in this program.

Furthermore, I have obtained several certifications in the field of data science and machine learning. I earned a Data Science certification from IBM, which validated my knowledge and skills in data analysis, statistical modeling, and predictive analytics. I also completed a Machine Learning certification from IBM, which further enhanced my expertise in machine learning algorithms, model evaluation, and deployment.

Lastly, I completed a Deep Learning specialization certification offered by deeplearning.ai. This program provided an in-depth understanding of deep learning architectures, convolutional neural networks, recurrent neural networks, and advanced techniques for building deep learning models.

Overall, my education has provided me with a strong foundation in engineering principles, as well as specialized knowledge in data analysis, machine learning, and deep learning. I believe this educational background, combined with my practical experience, positions me well for a successful career as a Machine Learning Engineer and Data Analyst.