About

Yuvaraj Nagubandi is a highly motivated and experienced Data Scientist with over 4 years of demonstrated experience in building predictive models, handling text, data sourcing, wrangling, and building/delivering machine learning solutions from requirements to deliverable. He is a post-graduate diploma holder in Data Science from IIIT Bangalore with specialization in Ecommerce domain. Yuvaraj is open for exciting opportunities in the field of Data Science and machine learning where he can utilize his skills to take up challenging data-related projects. Yuvaraj is a zealous Machine Learning Engineer who has experience in building RESTful APIs using Flask and a good understanding of implementation and building scalable ML applications in the cloud. He has experience in building ETL systems using Python and SSIS, building, tuning, and deployment of supervised and unsupervised machine learning models for the given business requirement. His technology stack includes languages like Python, MySQL, C#, MSSQL, algorithms like Regression (linear, logistic), Clustering algorithms (Kmeans, Hirearichal, KNN), Classification (Trees, Random forests) etc, Dimensionality reduction (PCA), Recommendation systems, and market mix modeling. He is also proficient in Statistics and Hypothesis testing, Libraries like Flask, Scikitlearn, Matplotlib, Seaborn, Pandas, NumPy, and Tools like Docker, Tableau, SSIS, JIRA, SSMS, Jupyter, Source control GIT, Perforce, and Cloud technologies like AWS. Currently, Yuvaraj is working as a Senior Machine Learning Engineer at Reputation, responsible for architecture and design of machine learning applications. His key responsibilities include and are not limited to packaging ML models to deployment either as APIs or daily jobs based on client needs in GCP cloud environment (Kubernetes/containers), building common tools and modules in Python from scratch to support daily ML use cases, developing applications and ML Pipelines which are self-serviceable by the clients based on the problem statement and provide support for the same, working on data models for scaling ML application scope to production level, and interacting with clientele to understand the requirements and gather business intelligence required for ML use case and work on dispatching deliverable within deadlines. Yuvaraj has worked with Factset as a Software Engineer III and Software Engineer II (Machine Learning Engineer) in developing automated ML deployment pipelines in AWS environment using services like ECS, ECR, SageMaker, etc. He has also worked on developing a primitive web app used by