Luve S.

Background

About Luve S.

Data science practitioner with 8+ years of experience in designing great data products Skill Stack : • ML/DL Skills: Random Forest. Linear/Logistic Regression, Gradient Boosting Trees,XGBoost, Lightgbm, KNN, SVM, PCA, Factorization Machines, FFN, CNN, RNN, LSTM, GAN, Autoencoders, Diffusion Models,Transformers, Mixture Density Models, Unsupervised and Outlier Detection Algorithms, Decision Optimization, Integer/Constraint Programming, Sensitivity Analysis, Model Explainability and Causal Inference • Tools : Python, PyTorch, Tensorflow, Keras, IBM Watson Studio, Azure Studio, AWS(Sagemaker/Lambda), Databricks, Tableau • Big Data: Spark, Hadoop • AWS Cloud: Lambda,SageMaker • ETL: Spark, SQL, NoSQL(MongoDB,Cassandra) • MLOps stack: Docker, ONNX, MLflow, Kubeflow, Hydra, Git, Jenkins, Kibana • Management Skills: Agile SDLC Methodologies