Kavya Varma

Background

About Kavya Varma

Data Engineer with around 5 years of experience in Machine Learning, Data mining with large data sets of Structured and Unstructured data, Data Acquisition, Data Validation, Predictive Modeling, Data Visualization, and programming languages like R, Python, and PySpark including Big Data technologies like Hadoop, Hive, Spark, and Azure Cloud Services. Experienced in Machine learning (ML) techniques: Supervised, Unsupervised, and Reinforcement learning techniques in building models. Experienced in implementing Factor Analysis and Principal Component Analysis Dimension reduction techniques. Performed Support vector machine (SVM) and Artificial Neural Networks (ANN) in building models. Expertise in deep neural network topologies such as convolutional nets and recurrent nets. Azure Certified Data Engineer with ETL tools like Informatica, Pentaho, and Machine Learning techniques, Data migration, Data validation, Data Mining with large data sets of Structured and Unstructured Data, Data Acquisition, Predictive Modeling, Data Visualization, Web Crawling, Web Scraping. Built and designed an end-to-end data pipeline using Amazon AWS, Spark, and Snowflake data warehouse development expertise with Spark Using Python. Participated in analysis, design, and ETL development as part of the Agile / Scrum Develop Team. Adept and deep understanding of Statistical modeling, Multivariate Analysis, model testing, problem analysis, model comparison, and validation. Experience utilizing GitHubin the Machine Learning pipeline for best practice code management and collaboration.