Information Security Machine

Vishnu Vardhan Rao Madamanchi

Email: adihp8@r.postjobfree.com Cell: +1-980-***-****

LinkedIn:https://www.linkedin.com/in/vishnu-madamanchi/ GitHub:https://github.com/Vishnu-Madamanchi/ Summary:

A highly analytical individual with a Master’s in Data Science and Business Analytics, experienced at using machine learning; Deep learning models for predictive analysis and with a deep understanding of statistical analysis in analyzing data to deliver insights and creating visualizations using python and Tableau. Education:

The University of North Carolina at Charlotte, Charlotte, NC December 2020 Master of Science in Data Science and Business Analytics; GPA: 4.0/4.0 Relevant coursework: Applied Machine Learning, Natural Language Processing, Probability and Statistics, Advance Business Analytics, Big Data Design and Storage, Data Visualization, Consumer Analytics. The Vellore Institute of Technology, Tamil Nadu, India April 2018 Bachelors of Technology in Computer Science; CGPA: 8.52/10.0 Relevant coursework: Data Structures and Algorithms, Applied Probability and Statistics, Object Oriented Programming, Operating Systems, Database Systems, Computer Networks, Embedded Systems, Information Security. Technical Skills:

Skill Set: Python, R, SQL, SAS, Machine Learning, Deep Learning, NLP, Statistical Analysis, Scikit learn, Scikit Multi- learn, Pandas, Numpy, NLTK, Tensor flow, Keras, Text Mining, Big Data Tools & Technologies: Jupyter Notebook, Google Colab, Spyder, SAS Enterprise Guide, SAS Enterprise Miner, MS-Excel, R studio, Tableau, Amazon Web Services (AWS), Ab Initio ETL, Teradata SQL Assistant, GitHub, SQL Server. Professional Experience:

Blue Shield of California, Oakland, California, United States June 2020 – August 2020 Machine Learning Intern – Risk Adjustment (Actuarial Domain)

Built Multi-label Classification Machine learning models to identify Medicare advantage members with potentially missing diagnosis codes in their medical claims.

Identified about 90% of the members with potentially missing diagnosis codes through the models built. These results from the models could help save blue shield of California a lot of money.

Achieved a 100% success in the internship goals (Building Models, Gaining Business Knowledge, Networking). Vodafone India Services Private Limited, Pune, Maharashtra, India July 2018 – April 2019 Developer – Business Intelligence (United Kingdom)

Developed ETL graphs in Ab initio to perform data pre-processing and manipulation steps.

Loaded data into Teradata data warehouse from staging area and generated reports using Tableau. Reports showed high-level view of the company market and helped management in decision making.

Reduced the complexity of a graph by optimizing the number of components, thereby reducing 25% of the total computational time and cost of running the graph.

Projects:

Chart Chase Triggers for Medicare Advantage Population: Built Multi-label Classification Machine learning model to identify the Medicare advantage members with potentially missing diagnosis codes in their medical claims using classifier chain method from scikit Multi-learn.

Building a ChatBot with Deep NLP Models:

Built a state of the art Deep NLP Seq2Seq model using Tensor flow on Cornell movie dialogs corpus.

Predict the Price of Used-Cars:

Achieved Adj.R^2 of 0.91 in predicting the prices using machine learning techniques such as Lasso Regression and Random Forest Regressor. The dataset is obtained from Kaggle.

Claims Management system using Logistic regression: Derived High Risk variable based on Dollar amount as the target variable in order to determine which claim would be a risk to the claimant management team using logistic regression. Achieved an accuracy of 84% on test dataset. The dataset is obtained from a popular claim management company.

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