A machine learning expert with proven ability to solve real-world problems by mapping them to learning algorithms. Experience of working on supervised as well as unsupervised learning algorithms. A detail-oriented person, with a keen focus on the big picture and a mind for usability.
Tasks and Responsibilities
• Understand the problem.
• Define the category of problem, the algorithms to be used and evaluation metric for the proposed solution.
• Prototyping, building and testing the solution.
Technologies
• Languages - Python, C++, Java
• Frameworks - PyTorch, TensorFlow, Keras, PySpark, Flask
• Machine Learning - Scikit-Learn, Spacy, gensim, NLTK, OpenCV
• Data Analysis - Numpy, Pandas, LightGBM, XGBoost, SciPy
• Visualization - Matplotlib, seaborn
• Database - MySQL, MongoDB, ElasticSearch
• Other tools - Git, Docker, REST, Jupyter Notebooks