𝐋𝐨𝐨𝐤𝐢𝐧𝐠 𝐟𝐨𝐫 𝐚 𝐩𝐨𝐬𝐭𝐝𝐨𝐜/𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐟𝐞𝐥𝐥𝐨𝐰 𝐩𝐨𝐬𝐢𝐭𝐢𝐨𝐧 𝐢𝐧 𝐭𝐡𝐞 𝐟𝐢𝐞𝐥𝐝 𝐨𝐟 𝐝𝐚𝐭𝐚 𝐬𝐜𝐢𝐞𝐧𝐜𝐞 𝐢𝐧 𝐟𝐥𝐮𝐢𝐝 𝐝𝐲𝐧𝐚𝐦𝐢𝐜𝐬 𝐨𝐫 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬▄▀▄▀▄▀▄▀▄▀▄▀▄▀▄▀▄▀▄▀▄▀▄▀▄▀▄▀▄▀▄▀▄An experienced experimentalist and a skilled data scientist/analyst in the field of engineering/medical applications, particularly concerning fluid dynamics applications. Skilled in implementation of various supervised/unsupervised deep learning architectures (CNNs, RNNs, GANs, auto-encoders, etc) for purposes such as data reconstruction/imputation, super-resolution, anomaly detection, fault diagnosis, predictive maintenance and computer vision. Experienced in development of knowledge-based chatbots, relying on document embedding, vector-space similarity search and sentence transformer models. A collaborator with the Advanced Anemometry Lab. in Amirkabir University of Technology with a focus on data-driven/physics-informed modeling and prediction of flow characteristics relying on experimental studies and deep learning methodology. 𝐂𝐨𝐦𝐩𝐮𝐭𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐒𝐤𝐢𝐥𝐥𝐬:► Skilled in numerical analysis, computational fluid dynamics and data analysis using Python, MATLAB, C++ or Fortran𝐄𝐱𝐩𝐞𝐫𝐢𝐦𝐞𝐧𝐭𝐚𝐥 𝐒𝐤𝐢𝐥𝐥𝐬:► Stereoscopic Particle Image Velocimetry (SPIV) and Laser Doppler Anemometry (LDA)► Design and development of experimental setup► Uncertainty analysis, data post-process and visualization𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐒𝐤𝐢𝐥𝐥𝐬:► Database management (SQL)► Classic machine learning algorithms (MLP; SVM; decision tree; random forrest; etc.)► Deep learning (FCNNs; CNNs; RNNs; GANs; Auto-encoders; RBM)► Clustering (K-means; Hierarchical clustering; DBSCAN)► Reinforcement Learning► Data analytics and Machine learning in python (Numpy, Pandas, Scipy, Scikit-learn)► Deep learning in python (Keras, TensorFlow, PyTorch)► Natural Language Processing (Encoder-Decoder Models; Attention Models; Transformers; Embedding models; NER)► Computer Vision (OpenCV, TensorFlow, PyTorch)► Data visualization (Tableau; Matplotlib, Seaborn)𝐆𝐢𝐭𝐇𝐮𝐛 𝐥𝐢𝐧𝐤:https://github.com/gsmkbr