Hi, I am Aashish.
MS in CS from Oregon State University .
.
I am seeking industry opportunities in Machine Learning/ Data Science.
Have a look at my CV.
Skills, Tools, and Platforms
Languages
Python, SQL, R, Java, Haskell
Data / ML Tools
NumPy, Pandas, sklearn, Jupyter Notebook, PyTorch, skorch, NLTK, OpenCV
Data Skills
Descriptive and Exploratory Analysis, Data Cleaning, Imputation, Tokenization, Stemming, Lemmatization, Feature Selection, Multicollinearity Removal, Label Encoding, OneHot Encoding, Word Embedding
Visualization
matplotlib, seaborn, tensorboard, wandb, PowerBI
Machine Learning
Linear Regression, Logistic Regression, Naive Bayes, Perceptron, Decision Trees, Random Forest, AdaBoost, SVM, Kernels, k-means, KNN, kdTree, Agglomerative Clustering, GMM, EM, PCA, LDA, t-SNE
Deep Learning
MLP, CNN, RNN, LSTM, AdaGrad, RMSProp, Adam, Attention, Transfer Learning, AutoEncoder
Reinforcement Learning
MDP, POMDP, Value Iteration, Policy Iteration, Monte Carlo Planning, Q Learning, SARSA, DQN, REINFORCE, A2C, A3C, DDPG, TD3, Prioritized Replay, Hindsight Replay, Imitation Learning, Random Shooting, CEM
Computer Vision
Image Classification, AlexNet, VGGNet, ResNet, InceptionNet, MobileNet, Object Detection, R-CNN, Fast R-CNN, Faster R-CNN, YOLO, Image Segmentation, Mask R-CNN, U-Net, Human Pose Estimation, OpenPose
Deployment Tools
Docker, REST, flask, Heroku, AWS, SageMaker, S3, Lambda
Other Tools/Skills
git and GitHub, Linux, Latex, MySQL, Ray, Unit Testing, pytest, AGILE, OOP, Algorithms, Data Structures, Critical Thinking, Problem Solving