AAYUSH JAIN's Linkedin Analytics

“Torture the data, and it will confess to anything” I am a Data Scientist with 3+ years of expertise in the Machine Learning, Artificial Intelligence, Deep Learning, Computer Vision, Image Processing, Robotics,Natural Language Processing, Edge AI, AIDevOps and Highly optimized Algorithm Development for neural network computing on CPU, GPU, DSP, ISP, FPGA. ⏩Programming Languages: Python, C,& C++. ⏩Other Libraries : Numpy, Pandas, NLTK, Spacy, Keras, SkLearn, Matplotlib, Seaborn,OpenCV,Cufflinks,Plotly and Bokeh. ⏩Deep Learning Frameworks: Tensorflow, Pytorch, Keras, CUDA ⏩DataBase:Oracle, MongoDB, SQLite, SQL ,Cassandra ⏩Big Data Tools & Frameworks: PySpark, Hadoop ⏩Statistics: Descriptive Statistics, Inferential Statistics,Probability density/distribution function,Binomial distribution,Poisson distribution,Normal distribution (Gaussian distribution),Bernoulli distribution,Central limit theorem, Hypothesis Testing (A/B Testing),Z-Test,T-Test,ANOVA,Chi-Square Test,F-test and Bayes theorem. ⏩ Machine Learning: Linear Regression, Logistic Regression, Decision Trees,Support Vector Machines,Naive Bayes, Ensemble Technique,Random forest(Bagging), Boosting technique ,Ada boost,Gradient boost,Xgboost,KNN, K Means Clustering ,DBSCAN PCA,Factor Analysis. ⏩Computer Vision: ANN,CNN,Lenet-5,Alexnet,Googlenet ,Vggnet Resnet ,Inception net,Darknet variants,Transfer learning,Rcnn,Fast rcnn ,Faster r cnn,Ssd ,Ssd lite, Object detection (Tensorflow Object detection API, Detectron2, YOLO) ,Retina net,Face net,Kalman filtering,Sort,Deep sort,Semantic segmentation,Masked rcnn. ⏩Advance Natural Language Processing: Text Processing,RNN,GRU,LSTM,BiLSTM,Stacked LSTM,Word embedding,Encoders and decoders, transformers,BERT,Distilbert model. ⏩VCS, DevOps & Misc Tools: Jupyter Notebook, PyCharm, VSCode, Git, Flask,Streamlight, Docker, REST API,Google Colab,AWS,Django,Elasticsearch,Kubernetes, TF-Serving.