Data Scientist
Manassas, Virginia
I specialized in developing advanced Deep Learning and Computer Vision models to tackle complex challenges across diverse domains. My work involved conducting comprehensive Exploratory Data Analysis (EDA) on large-scale datasets, including images, time series, and text, to extract valuable insights. I built and deployed high-availability inference services using state-of-the-art Deep Learning technologies and led the development of IoT/IIoT solutions with edge-service deployments. Additionally, I effectively managed high-impact projects, focusing on delivering innovative and scalable solutions while ensuring seamless integration and optimization.I demonstrated expertise in data storage and retrieval for unstructured, semi-structured, and relational datasets. My experience in Google Cloud Platform (GCP) and AutoML allowed me to deploy scalable cloud-based solutions, and I leveraged my technical skills to lead cross-functional initiatives that delivered measurable business impact.- Programming Languages: Python, C++, C, TypeScript - Cloud Platforms: Google Cloud Platform (GCP), AutoML - CV & ML Frameworks: PyTorch, TensorFlow, Keras, Scikit-Learn, OpenCV, PIL, DEAP - Visualization Tools: Tableau, Matplotlib, Plotly, Seaborn, ggplot, Bokeh - Data Management: HBase, Hive, MongoDB, Spark, NiFi, MySQL, MSSQL, OracleSQL, PostgreSQL - DevOps Tools: Git, Artifactory, Docker, Kubernetes, OpenShift