Machine Learning Data Analytics,C,Python,R Studio,Java

• VARUN SAI NAGINENI •

****************@*****.*** 217-***-**** Springfield, Illinois

Detailed Data Analytics Graduate skilled in utilizing data trends and generating intelligence to improve business techniques and strategy. Knowledgeable in creating data regression models, using predictive data modelling and analyzing the data.

Applied Statistics

Communication

Machine Learning

Stat Consulting

T E C H N I C AL S K I L L S

Data Visualization

Data Analysis

Technologies: C, C++, JAVA, R, Python, SQL, DBMS, HTML, Cloud Computing, Auto Cad Tools: Pandas, Apache Spark, NumPy, Hadoop, Matlab, Excel, Matplotlib, TensorFlow, Keras, Seaborn, PySpark Machine Learning: Decision Tree, KNN, Random Forest, Applied Statistics, Probability Distribution, Linear Algebra and its Applications, Natural Language Processing, SVM, Bayesian Statistics, Discriminant Analysis MASTER OF SCIENCE - DATA ANALYTICS Aug 2022- Pursuing University of Illinois Springfield ILLINOIS GPA: 3.47 Relevant Courses: Machine Learning, Probability Distribution, Data Management System, Applied Statistics, Linear Algebra, Big Data, Regression Analysis Method BACHELOR OF TECHNOLOGY– INFORMATION TECHNOLOGY 2018-2022 Sree Vidyanikethan Engineering College Rangampet, Tirupati, India GPA: 6.56/10

IOT Fundamentals

Block Chain Technology-Coursera

Source Code Management Using Git and Git Hub

Intern at Cognizant (Feb 2022-Sep 2022)

Banking Management System

- A banking system is a group or network of institutions that provide financial services for us. These institutions are responsible for operating a payment system, providing loans, taking deposits and helping with investments.

Predicting the Life-Threatening Diseases Using Machine Learning

- To Develop a risk prediction model using Machine learning for the development of heart diseases and kidney diseases because of irregular diet, insufficient physical exercise. In this project heart diseases and kidney diseases are considered for prediction based on patient health records.

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