My life so far has been a journey filled with diverse experiences that have helped me grow both professionally and personally. After completing my graduation in civil engineering, I quickly realized that the job market in my field was saturated, and opportunities were scarce. It was a tough time for me, as I had invested a lot of time and energy into my education, only to find that the path I had chosen was not as promising as I had hoped. Despite the challenges, I refused to give up and began exploring other areas such as sales, marketing, and freelancing on Fiverr. It was during this time that I stumbled upon data science, which immediately piqued my interest. Thanks to my prior knowledge in programming and DBMS from my college days, I found myself to be at an advantage when I decided to switch domains. Joining AlmaBetter was a turning point in my career. I worked on several challenging projects, ranging from regression and classification to unsupervised clustering. It was a fantastic learning experience that helped me grow both personally and professionally. I discovered my passion for coding, and I now spend my free time experimenting with new programming languages and projects. As much as I enjoy coding, I'm also an avid gamer who loves playing games with strong storylines. It's a perfect way for me to unwind and recharge after a long day of coding. Overall, I'm grateful for the experiences I've had so far and excited about the future. I'm always on the lookout for new opportunities that can help me grow and contribute to society in meaningful ways.

PROJECTS

Publications

Machine Learning Transforms Fintech: Banking, Finance, and Insurance Industry

ML is revolutionizing the banking, finance, and insurance industries by automating processes, analyzing data, and making better decisions, including fraud detection, credit risk assessment, underwriting, portfolio management, and customer service.

Machine Learning's Impact on Personalizing E-Learning

Machine learning has promising applications in e-learning, including personalized learning, predictive analytics, natural language processing, and platform optimization, leading to improved student outcomes and more efficient teaching methods.

Revolutionizing Healthcare: some Impactful Applications of Machine Learning

Machine learning has tremendous potential to revolutionize healthcare by improving patient outcomes, increasing efficiency, and reducing costs through applications such as diagnostic imaging, personalized medicine, predictive analytics, clinical decision support, electronic health records, medical device monitoring, and fraud detection.

Exploring the Impact of Climate Change on Global Food Security using Machine Learning

Machine learning algorithms are increasingly used in remote sensing to identify land cover types, monitor vegetation changes, identify water bodies, and provide more accurate and detailed information about the Earth's surface