Core Skills:

Driven Applied/Data Scientist with 5 years of experience in:
1: patent inventor
2: machine/deep learning
3: big data
4: statistics
5: data-driven modeling

CORE SKILLS:

• Programming Languages/Tools: Python (Pandas, Tensorflow, keras, SciKit-Learn), R, MATLAB, C++, OpenCV, HPC, Cloud Computing, Unix/Linux environment, SAS, Git.

• Statistics and Statistical Modeling: Hypothesis Testing, Regression (SVM, Gaussian, Decision Tree, Ridge, LASSO, Nonlinear), Statistical modeling (Bayesian Statistics, Method of Moments, Maximum Likelihood Estimation).

• Data Mining: Dimensionality Reduction (PCA, SVD, MDS, LDA, Isomap, t-SNE), Classification (Nearest-Neighborhood, SVM, Linear/Quadratic Discriminant Analysis, Naïve Bayesian, Neural Network). Ensemble Learning and Random Forests (Voting Classifiers, Bagging, Boosting, Stacking), Model Assessment and Selection (Cross-Validation, Bootstrap).

• SQL (MySQL, Oracle SQL)

• Big Data Techniques and Distributed Systems: Spark, Amazon AWS, Microsoft Azure.

• Deep learning (CNN, ANN, RNN) / Deep learning tools: TensorFlow, PyTorch, Keras

• Reinforcement Learning (Optimize Rewards, Markov Decision process, Deep Q-learning)

• NLP, and text mining (NLTK, Spacy)

• Image processing/computer vision/deep learning (CNN): (2D-3D segmentation, feature extraction, 3D reconstruction, object detection/tracking, image classification, OpenCV, Tensorflow, Keras)

• Time Series Analysis (ARIMA, SARIMA, LSTM, etc)

• Optimization: Combinatorial optimization, Greedy search, Beam search, Gradient descent (GD), SGD, Quadratic/Mixed Integer Programming, Convex Programming

• Data Visualization/Presentation: PowerBI, matplotlib, ggplot, plotly, Tableau