VISHNU VASIREDDY

ad0rm7@r.postjobfree.com +(571-***-***** Fairfax,VA,22030

https://www.linkedin.com/in/vasireddy-vishnu-782899187/ EDUCATION

Master of Science, Data Analytics Engineering, George Mason University Expected Grad. May 2024 Coursework: Principles of Data Management/Mining, Big Data Technologies, Visualization for Analytics, Big Data Analytics, Decision Analysis, Data Mining for Business Analytics GPA: 3.95/4 Bachelor of Technology, Computer Science, GITAM University Grad. June 2020 Coursework: Object-Oriented Software Development, Data Structures, Database Management Systems, Design and Analysis of Algorithms, Web Development, Compiler Design, Network security and Cryptography, UNIX, and Machine Learning. GPA:8.25/10

SKILLS

Programming Languages: C, Python, Basics of Java.

Web Development:HTML,CSS,Javascript,React,.NET

Interpersonal Skills: Teamwork, Management.

Databases: ORACLE, PostgreSQL, MYSQL

Tools: Tableau, Talend(Basics),Excel, Power BI(Basics)

Software Platform: Docker

Cloud Technology : A basic knowledge on AWS(S3 bucket, Redshift, EC2 instance, Athena, Aurora, Lambda), Azure(VM, DNS, Load Balancer)

EXPERIENCE

Assistant Systems Engineer, Tata Consultancy and Services Jan 2021 – Apr 2022

• Worked on Advanced SQL queries like Windows functions, CTE, Self joins

• Developed Tableau dashboards and worked on Tableau calculations like Basic, Table, and LOD calculations

• Designed, implemented, and maintained SCD2 tables in data warehousing environment

• Used the Data Integration tool called Talend and created, scheduled, generated, and optimized the ETL operations.

VALUE MOMENTUM-INTERN

May 2019 - Jul 2019

• Supported software engineering Java-based projects in an Agile work environment.

• Engaged in Software development utilizing a wide range of Java packages

• Worked on file handling and string handling functions in Java. PROJECTS

Human Activity Recognition Using Smartphone

Our project aimed at the recognition of human activities like walking, sitting, sleeping, standing, and limping using smartphone sensors.

We used different Machine Learning Classification algorithms like Logistic Regression, Naïve Bayes, K-Nearest Neighbor, Random Forest, and Support Vector Machine to recognize human activity. Results are calculated in terms of efficiency and precision. Big Data Analysis on NYC Civil List

This project involved the NYC Civil dataset and utilized advanced data technologies. I developed a scalable system architecture on Azure VM—using Docker for containerization.

I also supervised data storage and integration, employing both Postgres and MongoDB databases; these implementations were key in managing massive amounts of information effectively. I leveraged PySpark for data processing and transformation; specifically, I converted the data into Parquet format to boost efficiency. Through a rigorous process of exploratory data analysis, I managed to visualize results—I also carried out cluster analysis: an effective method that provided invaluable insights. CO-CORRICULAR ACTIVITES

• Attended a cyber security workshop organized by CSI(Computer Society of India) .

• Secured a certificate in Simplilearn for the successful completion of the Tableau course.

• Secured a certificate in AWS for the successful completion of AWS Technical Essentials

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