Ahmed is a dedicated and results-driven Data Scientist and Machine Learning Engineer with a wealth of experience spanning over 6 years in the industry. His primary focus and expertise lie in the realms of Machine and Deep Learning, encompassing areas such as Gradient Boosting Trees, Keras, TensorFlow, and Scikit-learn. His passion and proficiency extend to Predictive Analytics, including Churn analysis, Blockchain user's analysis, and HODLERS prediction, as well as Time Series Analytics featuring LSTM, GRU, and FBProphet. Ahmed's skills also encompass Computer Vision, where he excels in tasks such as detection, tracking, segmentation, and 2D/3D pose estimation. Ahmed has demonstrated his ability to build end-to-end AI solutions, from the initial data sourcing and modeling stages to successful deployment and ongoing monitoring. His projects have spanned a diverse range, from in-depth customer profiling to intricate video analysis and action recognition. Beyond AI backends, he has a strong track record of developing sophisticated web and desktop applications that facilitate user interaction with AI-driven solutions. Ahmed shares a similar enthusiasm for technology, learning, and knowledge-sharing. He welcomes connections and collaborative opportunities with like-minded individuals who share his passion for making a positive impact in the field of data science and machine learning. Feel free to connect and explore potential collaborations to drive innovation and growth together.