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Click here or scroll down to respond to this candidateCandidate's Name
(Street Address ) -283-3660 EMAIL AVAILABLE https://LINKEDIN LINK AVAILABLE EDUCATIONTexas Tech University - Lubbock, Texas Street Address /2022-05/2024 Masters in Computer Science GPA:3.5 /4.0Vignan Institute of Technology and Science - Hyderabad, India 07/2017-06/2021 Bachelors in Computer Science and Engineering GPA: 3.8/4.0 WORK EXPERIENCEProgrammer Analyst 11/2020-07/2022Cognizant 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 - 07/2019Electronics 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/ICIRCAPHONE NUMBER AVAILABLE |
