I'm a software engineer with expertise in Python development, particularly for data science and machine learning projects. I've worked on several large-scale projects that involved complex algorithms, high-speed data processing, and robust testing methodologies. My experience spans multiple domains including natural language processing, computer vision, recommender systems, predictive modeling, clustering analysis, supervised/unsupervised learning, text analytics, network analysis, regression analysis, time series forecasting, recommender systems, decision trees, support vector machines, neural networks, ensemble models, dimensionality reduction techniques, data visualization tools, statistics, SQL databases and noSQL databases. I've also worked with various libraries including TensorFlow, PyTorch, Keras, Scikit-learn, Matplotlib, Seaborn, pandas, NumPy, SciPy, NLTK, spaCy, Gensim, scikit-image and OpenCV.

My background is rooted in mathematics, computer science, statistics and machine learning. I earned my degree in Computer Science from a reputable university where I developed strong foundations in programming languages such as Python, Java, C++, MATLAB, R and SQL. During my studies, I focused on machine learning, data structures, algorithms, computer vision, natural language processing, network security and database systems.

Throughout my career, I've had the opportunity to collaborate with cross-functional teams, including software engineers, data scientists, product managers, designers, marketing professionals, and business analysts to drive innovation and growth. My expertise has enabled me to deliver scalable solutions