Data Analyst Analysis

Pragnya Sree Nannuru

(***) -***-**** *******************@*****.*** https://www.linkedin.com/in/pragnyasreenannuru EDUCATION

Texas Tech University - Lubbock, Texas 08/2022-05/2024 Masters in Computer Science GPA:3.5 /4.0

Vignan Institute of Technology and Science - Hyderabad, India 07/2017-06/2021 Bachelors in Computer Science and Engineering GPA: 3.8/4.0 WORK EXPERIENCE

Programmer Analyst 11/2020-07/2022

Cognizant Technology Solutions Hyderabad, India

• Excelled as a Programmer Analyst specializing in Business Intelligence/Data Analyst, focusing on data analysis and interpretation to drive informed decision-making processes.

• Revitalized DLL Netherlands initiatives through application maintenance, performance analysis, and meticulous testing, culminating in a 30% improvement in app loading times, a 15% decrease in crash rates, and a 25% rise in user satisfaction scores.

• Engineered a comprehensive data manipulation strategy, leveraging advanced techniques in gathering, cleaning, and preprocessing diverse data sources, resulting in a 40% reduction in data processing time and extracting targeted actionable insights.

• Utilized an array of cutting-edge tools and technologies for data analysis, including database management systems, data visualization tools, and programming languages, ensuring comprehensive data analysis and visualization.

• Applied advanced problem-solving skills to identify trends, patterns, and anomalies within datasets, contributing to effective decision-making processes within organizations. Continuous Skill Development Program Intern 06/2020- 10/2020 Cognizant Technology Solutions Hyderabad, India

• Participated in a structured technical skill development program, including a data analyst internship, focusing on honing expertise in HTML 5, CSS 3, JavaScript, Core Java, SQL, and data analysis techniques.

• Engaged in interactive learning sessions and hands-on workshops to deepen understanding and practical application of key programming languages, web development technologies, and data analysis tools.

• Showcased dedication to ongoing learning and career advancement through active engagement in skill enhancement initiatives, including timely completion of the data analyst internship program. Android App Development Intern 03/2019 - 07/2019

Electronics Corporation of India Limited Hyderabad, India

• Completed a rigorous training program on Android App Development focusing on mastering fundamental concepts and techniques.

• Designed and implemented the "E-Bus Pass Registration and Renewal System" project, proving proficiency in application development and user interface design principles.

• Applied theoretical knowledge and practical skills to develop a functional and user-friendly mobile application, contributing to enhanced efficiency in bus pass registration and renewal processes. TECHNICAL SKILLS:

• Programming Languages: Python, Java, R(basic), HTML, JavaScript.

• Platforms and Tools: Git, Jira, Tableau, Power BI, MS Office, Azure, AWS, Anaconda, SAS.

• Database: MySQL, SQL server, Oracle.

• Operating System: Windows, Mac OS, Linux/Unix.

• Others: HTML, CSS, jQuery, Bootstrap, Android App Development, Data Structures, PEGA 8.6, virtual box, Eclipse (IDE), Machine Learning Algorithms. PROJECTS:

IBM Data Analyst Capstone Project 11/2023-01/2024

• Led the Project, by applying a diverse range of techniques to collect and wrangle data, ensuring its quality and usability for analysis.

• Demonstrated advanced skills in data analysis and visualization, utilizing various Python libraries to extract insights and communicate findings effectively.

• Produced a comprehensive data analysis report, synthesizing key insights and trends derived from the dataset, and delivered compelling presentations to stakeholders.

• Employed Python libraries such as Pandas, NumPy, and Matplotlib/Seaborn to manipulate data, perform statistical analysis, and create insightful visualizations. Analyzing Extremist Reviewer Groups on Online Products 03/2021-06/2021

• Developed an E-commerce website to show how to analyze and delete fake or spam reviews on online products using Python programming language in the Machine Learning domain.

• Collected and processed user reviews from a product review site, ensuring data accuracy and cleanliness through meticulous cleaning and preprocessing steps.

• Crafted a supervised machine learning model utilizing a three-layer perceptron-based Random Forest classifier to classify potential extremist entities among reviewer groups & their patterns.

• Conducted detailed analysis of reviewer group behaviors, including consistency in ratings, sentiment of reviews, verified purchase status, review timestamps, and helpful votes received.

• Extracted actionable insights into brand-level opinion fraud dynamics, identifying common patterns and reviewer behavior anomalies.

Tipster (Location-Based Reminder App) 08/2019-12/2019

• Utilized Java programming language, HTML, and CSS to develop an Android-based location-based reminder application, facilitating user alerts triggered by predefined geographical locations.

• Implemented data analysis techniques to optimize the application's functionality, ensuring accurate and timely alarms upon user arrival at preset locations.

• Leveraged data-driven insights to enhance user experience and improve application performance, contributing to seamless functionality and user engagement. LICENSES AND CERTIFICATIONS:

• IT Essentials & Networks certification - Cisco Networking Academy.

• Data Analysis & Data Visualization with Excel - Coursera Certification.

• Python for Data Analysis and Data Visualization - Udemy Certification.

• IBM Data Analyst Capstone Project - Coursera Certification.

• Microsoft Power BI - Udemy Certification.

• MySQL for Data Analytics and Business Intelligence - Udemy Certification.

• Tableau Data Analyst/Specialist Desktop Certification - Udemy Certification.

• Big Data with Apache Spark and Python - Udemy Certification.

• Statistical Data Analysis with SAS - Udemy Certification.

• Programming for Everybody (Python) – Coursera Certification.

• AWS Certified Cloud - Udemy Certification.

• Pega Certified System Architect (PCSA) 86V1 Certification – PEGA Systems. PUBLICATIONS:

• “Analyzing the Extremist Reviewer Groups on Online Products” published in 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA) by IEEE publisher DOI: 10.1109/ICIRCA51532.2021.9544816

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