Hima Ganga Yarlagadda

•Over 7 years of work experience in Data Analysis, Data Mining, Database Marketing, Customer profiling, Decision Making, Credit Risk modeling, RFM analysis, Text Mining, Pattern Recognition, Classification, Data Clustering, Web Analytics •AWS, Python, SAS Certified Professional with experience in Statistical analysis and modeling, Segmentation Techniques, and analytical problem skills. •Expert in handling large datasets using SQL, Oracle, Teradata, Python, SAS needed for analysis. •Proficient in statistical data analysis (ANOVA Tests, Z-test, F-test, T-test, Correlations, Cluster analysis, One-way frequencies, Summary statistics) •Advanced knowledge of ML algorithms such as Linear Regression, Ridge, Lasso, Logistic Regression, Decision Tree, SVM, K-Means, XGBoost, Ensemble Models, Ada-boost, Gradient-Boosting, KNN, Grid search, Random Forest. •Profound understanding of AWS services such as S3, EC2, IAM, Aurora, Lambda, Sage Maker to build, train, tune and deploy machine learning models. •Functional knowledge of Risk Management Principles, P&L Drivers and possess a demonstrated leadership capability. •Worked on deployment and optimization of machine learning solutions on web-based applications. •Experience in creating mature Data science pipelines encompassing data standardization, Feature extraction, model validation, and optimization. Technical Skills: •Data Mining Tools: SAS Enterprise Miner, Rapid Miner, Python, R, IBM SPSS Modeler, MS Excel •SAS Tools: SAS Enterprise Guide, SAS 9.1(Programming), SAS/Base, JMP Data Exploration •Languages: C, C++, C#, Java, Visual Basic, Visual C++, PHP •Databases: Oracle, Teradata, SQL Server, PL/SQL, DB2 •Data Visualization Tool: AWS Quicksight, Tableau, JMP •Could Platforms: AWS, Azure •Big Data Technologies: Spark, pyspark •Frameworks: Django •Web Designing Tools: HTML, CSS, JavaScript, Dreamweaver, Joomla •Operating Systems: Windows, Linux, UNIX