Summary
Overview
Work History
Education
Skills
Academic Projects
Timeline
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VENKATA VIJAYA SARADHI PONNALURI

Albany,NY

Summary

Amiable Engineering Graduate seeking a full-time position in Computer Science to leverage strong engineering ideas into laymen's terms. Experience using skill suites.Looking to take on new challenges in my role as [Job Title] with an exciting organization[ ]

Overview

2
2
years of professional experience

Work History

System Engineer

Infosys Private Limited
09.2020 - 06.2022
  • Prediction for Bank Accounts and Stock Market: Schwab is the main module to leverage the admin support needed for the customers.
  • Involved in Central Management console CMC to setup rights for users, User groups/Folders based on each Business Application and supporting documentation for ongoing user's maintenance.
  • Responsible for installation and configuration of BOE Software on client machines and created User groups and users of DEV, UAT, PROD environments.
  • Migrated universes and reports to DEV, UAT and PROD environments from BOXIR2 version to their respective folders using Repository Migration Wizard.
  • Accounted for reduction in 10 % of Aging bugs.
  • Co-ordinated with the business users by making sure that they get familiarized with the reports.

Internship Program in java

Infosys PVT.LTD
02.2020 - 03.2020

Education

Master of Science - COMPUTER SCIENCE

UNIVERSITY AT ALBANY
Albany, NY
05.2024

Bachelor of Technology - Computer Science

KL University
01.2020

Skills

  • Data Analytics Tools: SAP BO
  • Data Visualization: Alteryx
  • Functional Skills: Process Interpretation, Analytical Ability, Team Management, Interpersonal Communication, Problem solving
  • Database Language: MySQL,MongoDB
  • Tools and Technologies: C,Java,Python,HTML,CSS,Java Script,Spring MVC

Academic Projects

HealthCare Management System:

Designed and developed a comprehensive Health Care Management System using HTML, CSS, JAVA, Spring Boot, and MySQL database

Analyzed project requirements, identified entities and relationships, normalized data, created a robust data model, and implemented a structured database.

· Led the database design process, including analysis of requirements, entity-relationship modeling, normalization techniques, and efficient schema implementation.

· Implemented a MySQL database to support the storage and retrieval of health care-related data.

· Designed and implemented user profiles for various roles including Doctor, Patient, Shopkeeper, and Admin, ensuring a personalized and secure user experience.

· Developed a Quick Access page to provide patients with immediate first aid solutions for various medical situations, enhancing user accessibility and health management.

· Implemented a chatbox feature facilitating real-time interaction between doctors and patients, enhancing communication and providing personalized health consultations.

· Successfully deployed the web application on Amazon Web Services (AWS), ensuring scalability, reliability, and accessibility for users.

· Utilized AWS services to host and maintain the web application, ensuring optimal performance and availability.

· Maintained a structured MySQL database, ensuring data integrity, security, and efficient data retrieval.

· Improved patient access to health information through the Quick Access page, leading to enhanced health management.

· Facilitated seamless communication between doctors and patients, fostering a collaborative healthcare environment. 


Sentimental Analysis: "Movie Sentiment Analysis: Extracting Insights from Viewer Reviews"

Worked with a comprehensive dataset of movie reviews sourced from diverse platforms, including user reviews on IMDB, ensuring a broad and inclusive range of opinions.

Employed advanced techniques to handle imbalanced datasets, ensuring the models are robust and perform well across various genres and review types.

· Conducted sentiment analysis on a diverse dataset of movie reviews using cutting-edge machine learning algorithms, including neural networks and Naive Bayes.

· Applied natural language processing (NLP) techniques to classify reviews into positive and negative sentiments, enabling nuanced understanding of audience reactions.

· Implemented a fine-tuning process for machine learning models to enhance performance on specific genres or review types, optimizing the system for targeted insights.

· Evaluated and benchmarked the performance of each machine learning algorithm, considering metrics such as accuracy, precision, recall, and F1 score.

· Achieved an impressive accuracy rate of 86%, demonstrating the effectiveness of the developed sentiment analysis system. 


Stack-Based Microprocessor Simulator Development:

· Designed and implemented a comprehensive simulator for a stack-based microprocessor, demonstrating a deep understanding of computer architecture and simulation principles.

· Developed the simulator to accurately emulate the behavior of a stack-based architecture, covering key aspects like instruction execution, memory management, and control flow.

· Defined a comprehensive instruction set for the stack-based microprocessor, including operations for stack manipulation, arithmetic, logic, and control flow instructions.

· implemented stack manipulation operations, such as PUSH and POP, ensuring proper handling of underflow and overflow conditions for a reliable simulation.

· Optimized stack operations for both efficiency and correctness within the simulation, enhancing the overall performance of the stack-based microprocessor model.

· Implemented control flow instructions, including JMP (jump), CALL, and RET, goto I, go false I, go true I,halt, to handle program execution flow.

· Created a robust set of test cases to validate the correctness of the simulator under various scenarios.

Timeline

System Engineer

Infosys Private Limited
09.2020 - 06.2022

Internship Program in java

Infosys PVT.LTD
02.2020 - 03.2020

Master of Science - COMPUTER SCIENCE

UNIVERSITY AT ALBANY

Bachelor of Technology - Computer Science

KL University
VENKATA VIJAYA SARADHI PONNALURI