A Data Scientist, and Artificial Intelligence Engineer, who aims at harnessing his analytical, statistical, logical, technical, and strategic acumen, while proactively working towards earning gainful experience in the industry. Placing a firm belief in the power of innovation and an unrelenting will to learn, for his overall growth as well as that of the organization. Currently, I am pursuing my masters in Applied Computing with a specialization in the field of Artificial Intelligence & Data Science at the University of Windsor. Expertise: Data Science, Machine Learning, Computer Vision, Data Analytics, Data Visualization, Time Series Analysis, Forecasting, and Technical Consulting Soft Skils: Problem Solving, Critical & Logical thinking, Communication Skills, Fast Learner, Adaptable, Team Player, Curious, and Enthusiastic. • Programming - Python, R, C, SQL • Data Bases - MSSQL, MySQL, Impala • Data Manipulation and Analysis - Pandas, NumPy, SciPy, Scikit-learn • Library & Frameworks - Scikit-learn, Tensorflow, Keras, PyTorch, Transformers, YOLO, OpenCV, MediaPipe, dlib, caffe • Natural Language Processing - NLTK, SpaCy • Data Visualization - matplotlib, seaborn, plotly, Tableau, PowerBI, Excel • Application Lifecycle Methodologies - Agile and Waterfall • Experience with Google App Engine and working knowledge of Microsoft Azure. • ML model deployment with Flask, Docker, and Heroku. • Knowledge on End to end Machine learning model development from data collection, to preprocessing, cleaning, modeling, hyperparameter tuning, evaluation, interpretation, and deployment.