About

Raghu Valusa is a highly experienced and multifaceted professional with over 15 years of experience in various roles including Data Scientist, AWS Cloud Solutions Architect, and DevOps Engineer. He has a strong technical background in machine learning, data engineering, and DevOps, and is skilled in developing AIOps solutions. Raghu has extensive experience in building supervised machine learning models using algorithms such as Linear Regression, Logistic Regression, Decision Tree, Random Forest, K-NN, SVM, AdaBoost, Gradient Boosting, XGBoost, etc. He also has experience in developing time series forecast models using Facebook Prophet and building models for Natural Language Processing (NLP) tasks such as stemming, lemmatization, word embedding, stop words removal, Named Entity Recognition (NER), TF-IDF, topic modeling, and text classification. Raghu has knowledge in the Big Data ecosystem, including Apache Spark, Hadoop, HDFS, MapReduce, YARN, Hive, and Apache Kafka. He has experience in querying, processing, and analyzing large amounts of data in various formats using Spark Core and Spark SQL, and has developed PySpark jobs for data ingestion from Oracle Apex DB monitoring metrics into Hadoop Data Lake. Raghu has also developed Python and Scala code using Wrapper, Methods, Classes, and Yaml config for easy code enhancement and readability. He has experience in building Spark Structured Streaming applications for reading messages from Kafka topics and writing into Hive tables using Python and Scala. Raghu has strong experience in performing data cleansing, data manipulation, data wrangling, feature engineering, feature selection, and exploratory data analysis (EDA). He has also developed custom transformers used in Sci-Kit Learn pipelines with model ensemble using stacking. Raghu has experience in performing model validation using k-fold cross-validation, Out of Fold, Leave one out, Stratified k-fold, and hyper-parameter tuning using grid-search/randomized grid search methods. He has built visualizations using Python, Matplotlib, Seaborn, Plotly packages. Raghu has experience in developing and deploying ML models into EC2, AWS Lambda mounted with EFS. He has architected, designed, and implemented solutions for application and database cloud migration and deployments with AWS VPC, EC2, Elastic Load Balancer (ELB), AutoScalling, RDS, S3, CloudWatch, Route53, CloudFormation, EBS Snapshots, AMIs. He has also built DevOps