About

Luve S. is a highly skilled data science practitioner with over 8 years of experience in designing and implementing data products. Currently working as a Senior Data Scientist at IBM, Luve has previously worked with American Express and STMicroelectronics as a Senior Data Scientist and Engineer, respectively. Luve's expertise lies in a wide range of ML/DL skills, including 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. Additionally, Luve is proficient in using Python, PyTorch, Tensorflow, Keras, IBM Watson Studio, Azure Studio, AWS(Sagemaker/Lambda), Databricks, and Tableau. Luve has extensive experience working with big data technologies, including Spark and Hadoop, and has a strong understanding of AWS Cloud services such as Lambda and SageMaker. Luve is also skilled in ETL processes using Spark, SQL, and NoSQL databases such as MongoDB and Cassandra. Luve has a deep understanding of MLOps stack, including Docker, ONNX, MLflow, Hydra, Git, Jenkins, and Kibana. Additionally, Luve is well-versed in Agile SDLC methodologies and has excellent management skills. Luve holds a Bachelor's degree in ECE from Vellore Institute of Technology, where they gained a strong foundation in the field. Luve's technical skill set includes Data Scientist, Research Scientist, SQL, AWS, ML, Sagemaker, Spark, XGBoost, Random Forest, RNN, Python, CNN, SVM, Deep Learning, Databricks, GAN, Keras, Computer Vision, Azure, NLP, Tensorflow, Pytorch, Big Data, Docker, NoSQL, MongoDB, Cassandra, Hadoop, Jenkins, ETL, and AI. With 4.19 years of relevant experience, Luve is a highly skilled data scientist with a passion for designing and implementing data products that deliver value to businesses.