Summary
Overview
Work History
Education
Skills
Projects
Awards
Certification
STRENGTHS
Timeline
Generic

RAMYA NIVASINI U S

Chennai

Summary

Experienced Automation Test Engineer with 3+ years of expertise in software testing and quality assurance, transitioning into Data Science. Proficient in Python, data analysis, SQL, and machine learning algorithms. Hands-on experience in data manipulation and predictive modeling. Strong analytical skills for interpreting complex datasets and delivering actionable insights. Collaborative team player who enhances product quality and performance. Eager to leverage testing background and technical expertise to drive data-driven decision-making in a data science role.

Overview

4
4
years of professional experience
1
1
Certification

Work History

Software Engineer 1

ICU Medical
06.2022 - Current
  • Designed and executed load testing scripts using NodeJS to simulate multiple user requests and actions, successfully minimizing downtime to 99.9%
  • Collaborated with developers and effectively communicated issues found throughout the continuous execution to improve the performance and availability of the application
  • Created a series of automation scripts in NodeJS and Python, reducing the manual efforts and analysis process by 80%
  • Contributed to documenting test procedures and results for regulatory compliance

Graduate Engineer Trainee

ICU Medical
06.2021 - 05.2022
  • Automated over 200+ test cases using the NodeJS, JavaScript, and Cucumber framework to enhance software reliability through comprehensive positive, negative, and boundary scenario coverage
  • Performed API, UI, IOT, Performance, and Availability automation testing to ensure the quality of ICU Medical products
  • Automated the analysis process of large test execution results with NodeJS, leading to an 80% reduction in manual effort and analysis time
  • Identified testing areas, developed test plans, and logged defects to maintain product quality while also improving an important related metric during testing processes.

Intern

ICU Medical
01.2021 - 05.2021
  • Automated manual pre-setup tasks using AutoIT which helped in reducing manual efforts
  • Participated in meetings and training sessions to enhance understanding of medical device testing standards and regulations
  • Collaborated with the testing team to develop new testing protocols and procedures.

Education

Bachelor of Science - Computer Science Engineering

SSN College of Engineering
Chennai, India
06.2021

Skills

  • Data Science, Machine Learning, Python, SQL Databases
  • Natural Language Processing, Data Visualization, Statistical Analysis
  • Problem Solving, Analytical Skills
  • AWS, Nodejs, JavaScript, JAVA

Projects

Text To Speech Synthesis System

  • HTS-based model developed for converting text to speech for Indian regional languages
  • Technologies used : Unified parser, perl script, lex and yacc

Traffic Prediction system

  • Traffic Prediction using LSTM and GRU models implemented using Budget Constrained BOHB hyperparameter optimization technique

Product Recomendation System

  • Developed an end-to-end product recommendation system using Machine learning algorithms - KNearest Neighbors, TfidfVectorizer, Front end - HTML, CSS, Backend - Python, Flask Server, deployed in AWS.

Awards

ICU Achiever Award | ICU Medical | 2023

Received recognition for significant contributions towards automating complex work flows and analysis process.

Winner in Smart India Hackathon 2k19 edition | AICTE | 2019

Participated and Won the 36 hours Smart India Hackathon for the problem statement Test To Speech synthesis system.

Certification

  • AWS Technical Essentials and Architecting

STRENGTHS

  • Hard Worker and Patient
  • Team Player , Leadership and Mentoring skills
  • Positive Attitude

Timeline

Software Engineer 1

ICU Medical
06.2022 - Current

Graduate Engineer Trainee

ICU Medical
06.2021 - 05.2022

Intern

ICU Medical
01.2021 - 05.2021

Bachelor of Science - Computer Science Engineering

SSN College of Engineering
RAMYA NIVASINI U S